Samuel Kaski

According to our database, Samuel Kaski authored at least 313 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Likelihood-free inference in state-space models with unknown dynamics.

Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski

Stat. Comput., February, 2024

In-n-Out: Calibrating Graph Neural Networks for Link Prediction.

Erik Nascimento, Diego Mesquita, Samuel Kaski, Amauri H. Souza

CoRR, 2024

Online Learning of Human Constraints from Feedback in Shared Autonomy.

Shibei Zhu, Tran Nguyen Le, Samuel Kaski, Ville Kyrki

CoRR, 2024

Open Ad Hoc Teamwork with Cooperative Game Theory.

Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski

CoRR, 2024

2023

The influence of inter-regional delays in generating large-scale brain networks of phase synchronization.

Nitin Williams, A. Ojanperä, Felix Siebenhühner, Benedetta Toselli, Satu Palva, Gabriele Arnulfo, Samuel Kaski, J. Matias Palva

NeuroImage, October, 2023

HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes.

Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J. O'Connor, Samuel Kaski, Pekka Marttinen, Pier Francesco Palamara, Christoph Lippert, Andrea Ganna

Bioinform., September, 2023

Toward AI assistants that let designers design.

Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski

AI Mag., March, 2023

Modeling needs user modeling.

Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski

Frontiers Artif. Intell., February, 2023

Stochastic cluster embedding.

Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander

Stat. Comput., 2023

Estimating treatment effects from single-arm trials via latent-variable modeling.

Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lähdesmäki

CoRR, 2023

The Fundamental Dilemma of Bayesian Active Meta-learning.

Sabina J. Sloman, Ayush Bharti, Samuel Kaski

CoRR, 2023

Causal Similarity-Based Hierarchical Bayesian Models.

Sophie Wharrie, Samuel Kaski

CoRR, 2023

Understanding deep neural networks through the lens of their non-linearity.

Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski

CoRR, 2023

Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets.

Tiago da Silva, Eliezer Silva, Adèle H. Ribeiro, António Góis, Dominik Heider, Samuel Kaski, Diego Mesquita

CoRR, 2023

Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data.

Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski

CoRR, 2023

Practical Equivariances via Relational Conditional Neural Processes.

Daolang Huang, Manuel Haussmann, Ulpu Remes, S. T. John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi

CoRR, 2023

Input gradient diversity for neural network ensembles.

Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski

CoRR, 2023

Cost-aware learning of relevant contextual variables within Bayesian optimization.

Julien Martinelli, Ayush Bharti, S. T. John, Armi Tiihonen, Sabina Sloman, Louis Filstroff, Samuel Kaski

CoRR, 2023

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series.

Alexander V. Nikitin, Letizia Iannucci, Samuel Kaski

CoRR, 2023

Online simulator-based experimental design for cognitive model selection.

Alexander Aushev, Aini Putkonen, Gregoire Clarte, Suyog Chandramouli, Luigi Acerbi, Samuel Kaski, Andrew Howes

CoRR, 2023

Uncoupled Learning of Differential Stackelberg Equilibria with Commitments.

Robert Tyler Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek

CoRR, 2023

Differentiable user models.

Alex Hämäläinen, Mustafa Mert Çelikok, Samuel Kaski

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Cooperative Bayesian Optimization for Imperfect Agents.

Ali Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel Kaski

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Practical Equivariances via Relational Conditional Neural Processes.

Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Robust Statistics for Simulation-based Inference under Model Misspecification.

Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Compositional Sculpting of Iterative Generative Processes.

Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas K. Garg, Samuel Kaski, Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Characterizing personalized effects of family information on disease risk using graph representation learning.

Sophie Wharrie, Zhiyu Yang, Andrea Ganna, Samuel Kaski

Proceedings of the Machine Learning for Healthcare Conference, 2023

Imitation-Guided Multimodal Policy Generation from Behaviourally Diverse Demonstrations.

Shibei Zhu, Rituraj Kaushik, Samuel Kaski, Ville Kyrki

IROS, 2023

Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference.

Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, François-Xavier Briol

Proceedings of the International Conference on Machine Learning, 2023

Noise-Aware Statistical Inference with Differentially Private Synthetic Data.

Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Multi-Fidelity Bayesian Optimization with Unreliable Information Sources.

Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Zero-Shot Assistance in Sequential Decision Problems.

Sebastiaan De Peuter, Samuel Kaski

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Teaching to Learn: Sequential Teaching of Learners with Internal States.

Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE Prediction.

Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

d3p - A Python Package for Differentially-Private Probabilistic Programming.

Lukas Prediger, Niki A. Loppi, Samuel Kaski, Antti Honkela

Proc. Priv. Enhancing Technol., 2022

Human-in-the-loop assisted de novo molecular design.

Iiris Sundin, Alexey Voronov, Haoping Xiao, Kostas Papadopoulos, Esben Jannik Bjerrum, Markus Heinonen, Atanas Patronov, Samuel Kaski, Ola Engkvist

J. Cheminformatics, 2022

Likelihood-free inference with deep Gaussian processes.

Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski

Comput. Stat. Data Anal., 2022

DPVIm: Differentially Private Variational Inference Improved.

Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski

CoRR, 2022

Bayesian Optimization Augmented with Actively Elicited Expert Knowledge.

Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Samuel Kaski

CoRR, 2022

Zero-Shot Assistance in Novel Decision Problems.

Sebastiaan De Peuter, Samuel Kaski

CoRR, 2022

Identification of multiplicatively acting modulatory mutational signatures in cancer.

Dovydas Kiciatovas, Qingli Guo, Miika Kailas, Henri Pesonen, Jukka Corander, Samuel Kaski, Esa Pitkänen, Ville Mustonen

BMC Bioinform., 2022

Variational multiple shooting for Bayesian ODEs with Gaussian processes.

Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Modular Flows: Differential Molecular Generation.

Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas K. Garg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Provably expressive temporal graph networks.

Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas K. Garg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deconfounded Representation Similarity for Comparison of Neural Networks.

Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations.

Alexander V. Nikitin, Samuel Kaski

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Tackling covariate shift with node-based Bayesian neural networks.

Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski

Proceedings of the International Conference on Machine Learning, 2022

Approximate Bayesian Computation with Domain Expert in the Loop.

Ayush Bharti, Louis Filstroff, Samuel Kaski

Proceedings of the International Conference on Machine Learning, 2022

EntityBot: Actionable Entity Recommendations for Everyday Digital Task.

Tung Thanh Vuong, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs.

Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Parallel MCMC Without Embarrassing Failures.

Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Non-separable Spatio-temporal Graph Kernels via SPDEs.

Alexander V. Nikitin, S. T. John, Arno Solin, Samuel Kaski

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Entity Recommendation for Everyday Digital Tasks.

Giulio Jacucci, Pedram Daee, Tung Thanh Vuong, Salvatore Andolina, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski

ACM Trans. Comput. Hum. Interact., 2021

Privacy-preserving data sharing via probabilistic modeling.

Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Antti Honkela, Samuel Kaski

Patterns, 2021

Locally Differentially Private Bayesian Inference.

Tejas Kulkarni, Joonas Jälkö, Samuel Kaski, Antti Honkela

CoRR, 2021

Bayesian inference of ODEs with Gaussian processes.

Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen

CoRR, 2021

Targeted Active Learning for Bayesian Decision-Making.

Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski

CoRR, 2021

Affine Transport for Sim-to-Real Domain Adaptation.

Anton Mallasto, Karol Arndt, Markus Heinonen, Samuel Kaski, Ville Kyrki

CoRR, 2021

Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches.

Betül Güvenç Paltun, Hiroshi Mamitsuka, Samuel Kaski

Briefings Bioinform., 2021

Machine learning approaches for drug combination therapies.

Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka

Briefings Bioinform., 2021

Federated stochastic gradient Langevin dynamics.

Khaoula el Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations.

Vuong Thanh Tung, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

De-randomizing MCMC dynamics with the diffusion Stein operator.

Zheyang Shen, Markus Heinonen, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decision Rule Elicitation for Domain Adaptation.

Alexander V. Nikitin, Samuel Kaski

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Differentially Private Bayesian Inference for Generalized Linear Models.

Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela

Proceedings of the 38th International Conference on Machine Learning, 2021

Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks.

Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Learning to Assist Agents by Observing Them.

Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Bayesian Inference for Optimal Transport with Stochastic Cost.

Anton Mallasto, Markus Heinonen, Samuel Kaski

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Local dimension reduction of summary statistics for likelihood-free inference.

Jukka Sirén, Samuel Kaski

Stat. Comput., 2020

A decision-theoretic approach for model interpretability in Bayesian framework.

Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski

Mach. Learn., 2020

Interactive faceted query suggestion for exploratory search: Whole-session effectiveness and interaction engagement.

Tuukka Ruotsalo, Giulio Jacucci, Samuel Kaski

J. Assoc. Inf. Sci. Technol., 2020

Sample-efficient reinforcement learning using deep Gaussian processes.

Charles W. L. Gadd, Markus Heinonen, Harri Lähdesmäki, Samuel Kaski

CoRR, 2020

Scalable Bayesian neural networks by layer-wise input augmentation.

Trung Q. Trinh, Samuel Kaski, Markus Heinonen

CoRR, 2020

Privacy-preserving Data Sharing on Vertically Partitioned Data.

Razane Tajeddine, Joonas Jälkö, Samuel Kaski, Antti Honkela

CoRR, 2020

Teaching to Learn: Sequential Teaching of Agents with Inner States.

Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski

CoRR, 2020

Differentially private cross-silo federated learning.

Mikko A. Heikkilä, Antti Koskela, Kana Shimizu, Samuel Kaski, Antti Honkela

CoRR, 2020

Variance reduction for distributed stochastic gradient MCMC.

Khaoula el Mekkaoui, Diego P. P. Mesquita, Paul Blomstedt, Samuel Kaski

CoRR, 2020

Correlated Feature Selection with Extended Exclusive Group Lasso.

Yuxin Sun, Benny Chain, Samuel Kaski, John Shawe-Taylor

CoRR, 2020

Informative Gaussian Scale Mixture Priors for Bayesian Neural Networks.

Tianyu Cui, Aki S. Havulinna, Pekka Marttinen, Samuel Kaski

CoRR, 2020

Human Strategic Steering Improves Performance of Interactive Optimization.

Fabio Colella, Pedram Daee, Jussi Jokinen, Antti Oulasvirta, Samuel Kaski

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Rethinking pooling in graph neural networks.

Diego P. P. Mesquita, Amauri H. Souza Jr., Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Projective Preferential Bayesian Optimization.

Petrus Mikkola, Milica Todorovic, Jari Järvi, Patrick Rinke, Samuel Kaski

Proceedings of the 37th International Conference on Machine Learning, 2020

A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication.

Tom Vander Aa, Xiangju Qin, Paul Blomstedt, Roel Wuyts, Wilfried Verachtert, Samuel Kaski

Proceedings of the Computational Science - ICCS 2020, 2020

Learning Global Pairwise Interactions with Bayesian Neural Networks.

Tianyu Cui, Pekka Marttinen, Samuel Kaski

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Learning spectrograms with convolutional spectral kernels.

Zheyang Shen, Markus Heinonen, Samuel Kaski

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Scalable Probabilistic Matrix Factorization with Graph-Based Priors.

Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Distributed Bayesian matrix factorization with limited communication.

Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski

Mach. Learn., 2019

Integrating neurophysiologic relevance feedback in intent modeling for information retrieval.

Giulio Jacucci, Oswald Barral, Pedram Daee, Markus Wenzel, Baris Serim, Tuukka Ruotsalo, Patrik Pluchino, Jonathan Freeman, Luciano Gamberini, Samuel Kaski, Benjamin Blankertz

J. Assoc. Inf. Sci. Technol., 2019

Interactive AI with a Theory of Mind.

Mustafa Mert Çelikok, Tomi Peltola, Pedram Daee, Samuel Kaski

CoRR, 2019

Privacy-preserving data sharing via probabilistic modelling.

Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Samuel Kaski, Antti Honkela

CoRR, 2019

Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach.

Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski

CoRR, 2019

Recovering Pairwise Interactions Using Neural Networks.

Tianyu Cui, Pekka Marttinen, Samuel Kaski

CoRR, 2019

Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation.

Antti Kangasrääsiö, Jussi P. P. Jokinen, Antti Oulasvirta, Andrew Howes, Samuel Kaski

Cogn. Sci., 2019

Representation transfer for differentially private drug sensitivity prediction.

Teppo Mikael Niinimäki, Mikko A. Heikkilä, Antti Honkela, Samuel Kaski

Bioinform., 2019

Bayesian metabolic flux analysis reveals intracellular flux couplings.

Markus Heinonen, Maria Osmala, Henrik Mannerström, Janne Wallenius, Samuel Kaski, Juho Rousu, Harri Lähdesmäki

Bioinform., 2019

Modelling G×E with historical weather information improves genomic prediction in new environments.

Jussi Gillberg, Pekka Marttinen, Hiroshi Mamitsuka, Samuel Kaski

Bioinform., 2019

Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data.

Héctor Climente-González, Chloé-Agathe Azencott, Samuel Kaski, Makoto Yamada

Bioinform., 2019

Embarrassingly Parallel MCMC using Deep Invertible Transformations.

Diego P. P. Mesquita, Paul Blomstedt, Samuel Kaski

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Deep Convolutional Gaussian Processes.

Kenneth Blomqvist, Samuel Kaski, Markus Heinonen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Machine Teaching of Active Sequential Learners.

Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Image Relations with Contrast Association Networks.

Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski

Proceedings of the International Joint Conference on Neural Networks, 2019

Scalable Bayesian Non-linear Matrix Completion.

Xiangju Qin, Paul Blomstedt, Samuel Kaski

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets.

Homayun Afrabandpey, Tomi Peltola, Samuel Kaski

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Active Learning for Decision-Making from Imbalanced Observational Data.

Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski

Proceedings of the 36th International Conference on Machine Learning, 2019

Harmonizable mixture kernels with variational Fourier features.

Zheyang Shen, Markus Heinonen, Samuel Kaski

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Deep learning with differential Gaussian process flows.

Pashupati Hegde, Markus Heinonen, Harri Lähdesmäki, Samuel Kaski

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Interactive Intent Modeling for Exploratory Search.

Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Patrik Floréen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski

ACM Trans. Inf. Syst., 2018

Likelihood-free inference via classification.

Michael U. Gutmann, Ritabrata Dutta, Samuel Kaski, Jukka Corander

Stat. Comput., 2018

Inverse reinforcement learning from summary data.

Antti Kangasrääsiö, Samuel Kaski

Mach. Learn., 2018

ELFI: Engine for Likelihood-Free Inference.

Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö, Kusti Skytén, Marko Järvenpää, Pekka Marttinen, Michael U. Gutmann, Aki Vehtari, Jukka Corander, Samuel Kaski

J. Mach. Learn. Res., 2018

Neural Non-Stationary Spectral Kernel.

Sami Remes, Markus Heinonen, Samuel Kaski

CoRR, 2018

Approximate Bayesian Computation via Population Monte Carlo and Classification.

Charlie Rogers-Smith, Henri Pesonen, Samuel Kaski

CoRR, 2018

Modelling User's Theory of AI's Mind in Interactive Intelligent Systems.

Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee, Samuel Kaski

CoRR, 2018

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.

Iiris Sundin, Tomi Peltola, Luana Micallef, Homayun Afrabandpey, Marta Soare, Muntasir Mamun Majumder, Pedram Daee, Chen He, Baris Serim, Aki S. Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, Samuel Kaski

Bioinform., 2018

Variational zero-inflated Gaussian processes with sparse kernels.

Pashupati Hegde, Markus Heinonen, Samuel Kaski

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction.

Pedram Daee, Tomi Peltola, Aki Vehtari, Samuel Kaski

Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

Probabilistic Formulation of the Take The Best Heuristic.

Tomi Peltola, Jussi Jokinen, Samuel Kaski

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Self-Organizing Maps.

Samuel Kaski

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction.

Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski

Mach. Learn., 2017

Multi-view kernel completion.

Sahely Bhadra, Samuel Kaski, Juho Rousu

Mach. Learn., 2017

GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis.

Eemeli Leppäaho, Muhammad Ammad-ud-din, Samuel Kaski

J. Mach. Learn. Res., 2017

Learning structures of Bayesian networks for variable groups.

Pekka Parviainen, Samuel Kaski

Int. J. Approx. Reason., 2017

ELFI: Engine for Likelihood Free Inference.

Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö, Kusti Skytén, Marko Järvenpää, Michael U. Gutmann, Aki Vehtari, Jukka Corander, Samuel Kaski

CoRR, 2017

Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation.

Makoto Yamada, Song Liu, Samuel Kaski

CoRR, 2017

Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation.

Iiris Sundin, Tomi Peltola, Muntasir Mamun Majumder, Pedram Daee, Marta Soare, Homayun Afrabandpey, Caroline Heckman, Samuel Kaski, Pekka Marttinen

CoRR, 2017

Distributed Bayesian Matrix Factorization with Minimal Communication.

Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski

CoRR, 2017

Differentially Private Bayesian Learning on Distributed Data.

Mikko A. Heikkilä, Yusuke Okimoto, Samuel Kaski, Kana Shimizu, Antti Honkela

CoRR, 2017

MediSyn: uncertainty-aware visualization of multiple biomedical datasets to support drug treatment selection.

Chen He, Luana Micallef, ZiaurRehman Tanoli, Samuel Kaski, Tero Aittokallio, Giulio Jacucci

BMC Bioinform., 2017

Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction.

Homayun Afrabandpey, Tomi Peltola, Samuel Kaski

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression.

Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski

Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

Non-Stationary Spectral Kernels.

Sami Remes, Markus Heinonen, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Differentially private Bayesian learning on distributed data.

Mikko A. Heikkilä, Eemil Lagerspetz, Samuel Kaski, Kana Shimizu, Sasu Tarkoma, Antti Honkela

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Convex Factorization Machine for Toxicogenomics Prediction.

Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets.

Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski

Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

BCI for Physiological Text Annotation.

Oswald Barral, Ilkka Kosunen, Tuukka Ruotsalo, Michiel M. A. Spapé, Manuel J. A. Eugster, Niklas Ravaja, Samuel Kaski, Giulio Jacucci

Proceedings of the 2017 ACM Workshop on An Application-oriented Approach to BCI out of the laboratory, 2017

Inferring Cognitive Models from Data using Approximate Bayesian Computation.

Antti Kangasrääsiö, Kumaripaba Athukorala, Andrew Howes, Jukka Corander, Samuel Kaski, Antti Oulasvirta

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Localized Lasso for High-Dimensional Regression.

Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings.

Sami Remes, Markus Heinonen, Samuel Kaski

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Extracting relevance and affect information from physiological text annotation.

Oswald Barral, Ilkka Kosunen, Tuukka Ruotsalo, Michiel M. A. Spapé, Manuel J. A. Eugster, Niklas Ravaja, Samuel Kaski, Giulio Jacucci

User Model. User Adapt. Interact., 2016

Bayesian multi-tensor factorization.

Suleiman A. Khan, Eemeli Leppäaho, Samuel Kaski

Mach. Learn., 2016

Multiple Output Regression with Latent Noise.

Jussi Gillberg, Pekka Marttinen, Matti Pirinen, Antti J. Kangas, Pasi Soininen, Mehreen Ali, Aki S. Havulinna, Marjo-Riitta Järvelin, Mika Ala-Korpela, Samuel Kaski

J. Mach. Learn. Res., 2016

A Latent Feature Model Approach to Biclustering.

José Caldas, Samuel Kaski

Int. J. Knowl. Discov. Bioinform., 2016

Sparse Network Lasso for Local High-dimensional Regression.

Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski

CoRR, 2016

Regression with n$\to$1 by Expert Knowledge Elicitation.

Marta Soare, Muhammad Ammad-ud-din, Samuel Kaski

CoRR, 2016

Inverse Modeling of Complex Interactive Behavior with ABC.

Antti Kangasrääsiö, Kumaripaba Athukorala, Andrew Howes, Jukka Corander, Samuel Kaski, Antti Oulasvirta

CoRR, 2016

Efficient differentially private learning improves drug sensitivity prediction.

Antti Honkela, Mrinal Das, Onur Dikmen, Samuel Kaski

CoRR, 2016

Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals.

Manuel J. A. Eugster, Tuukka Ruotsalo, Michiel M. A. Spapé, Oswald Barral, Niklas Ravaja, Giulio Jacucci, Samuel Kaski

CoRR, 2016

Interactive Prior Elicitation of Features Similarities for Small Sample Size Prediction.

Homayun Afrabandpey, Tomi Peltola, Samuel Kaski

CoRR, 2016

Sparse group factor analysis for biclustering of multiple data sources.

Kerstin Bunte, Eemeli Leppäaho, Inka Saarinen, Samuel Kaski

Bioinform., 2016

Modelling-based experiment retrieval: a case study with gene expression clustering.

Paul Blomstedt, Ritabrata Dutta, Sohan Seth, Alvis Brazma, Samuel Kaski

Bioinform., 2016

Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization.

Muhammad Ammad-ud-din, Suleiman A. Khan, Disha Malani, Astrid Murumägi, Olli-P. Kallioniemi, Tero Aittokallio, Samuel Kaski

Bioinform., 2016

Interactive Modeling of Concept Drift and Errors in Relevance Feedback.

Antti Kangasrääsiö, Yi Chen, Dorota Glowacka, Samuel Kaski

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Bayesian Networks for Variable Groups.

Pekka Parviainen, Samuel Kaski

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Dealing with Concept Drift in Exploratory Search: An Interactive Bayesian Approach.

Antti Kangasrääsiö, Yi Chen, Dorota Glowacka, Samuel Kaski

Proceedings of the Companion Publication of the 21st International Conference on Intelligent User Interfaces, 2016

Interactive Intent Modeling from Multiple Feedback Domains.

Pedram Daee, Joel Pyykkö, Dorota Glowacka, Samuel Kaski

Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations.

Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski

Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

A Robust Convex Formulation for Ensemble Clustering.

Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Regression with n→1 by Expert Knowledge Elicitation.

Marta Soare, Muhammad Ammad-ud-din, Samuel Kaski

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Visualizations relevant to the user by multi-view latent variable factorization.

Seppo Virtanen, Homayun Afrabandpey, Samuel Kaski

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo.

Markus Heinonen, Henrik Mannerström, Juho Rousu, Samuel Kaski, Harri Lähdesmäki

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Group Factor Analysis.

Arto Klami, Seppo Virtanen, Eemeli Leppäaho, Samuel Kaski

IEEE Trans. Neural Networks Learn. Syst., 2015

Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals.

Jukka-Pekka Kauppi, Melih Kandemir, Veli-Matti Saarinen, Lotta Hirvenkari, Lauri Parkkonen, Arto Klami, Riitta Hari, Samuel Kaski

NeuroImage, 2015

Interactive intent modeling: information discovery beyond search.

Tuukka Ruotsalo, Giulio Jacucci, Petri Myllymäki, Samuel Kaski

Commun. ACM, 2015

Developing a Symbiotic System for Scientific Information Seeking: The MindSee Project.

Luciano Gamberini, Anna Spagnolli, Benjamin Blankertz, Samuel Kaski, Jonathan Freeman, Laura Acqualagna, Oswald Barral, Maura Bellio, Luca Chech, Manuel J. A. Eugster, Eva Ferrari, Paolo Negri, Valeria Orso, Patrik Pluchino, Filippo Minelle, Baris Serim, Markus A. Wenzel, Giulio Jacucci

Proceedings of the Symbiotic Interaction - 4th International Workshop, 2015

SciNet: Interactive Intent Modeling for Information Discovery.

Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Improving Controllability and Predictability of Interactive Recommendation Interfaces for Exploratory Search.

Antti Kangasrääsiö, Dorota Glowacka, Samuel Kaski

Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Exploring Peripheral Physiology as a Predictor of Perceived Relevance in Information Retrieval.

Oswald Barral, Manuel J. A. Eugster, Tuukka Ruotsalo, Michiel M. A. Spapé, Ilkka Kosunen, Niklas Ravaja, Samuel Kaski, Giulio Jacucci

Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Majorization-Minimization for Manifold Embedding.

Zhirong Yang, Jaakko Peltonen, Samuel Kaski

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Kernelized Bayesian Matrix Factorization.

Mehmet Gönen, Samuel Kaski

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization.

Muhammad Ammad-ud-din, Elisabeth Georgii, Mehmet Gönen, Tuomo Laitinen, Olli-P. Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski

J. Chem. Inf. Model., 2014

Multi-task and multi-view learning of user state.

Melih Kandemir, Akos Vetek, Mehmet Gönen, Arto Klami, Samuel Kaski

Neurocomputing, 2014

Retrieval of Experiments by Efficient Estimation of Marginal Likelihood.

Sohan Seth, John Shawe-Taylor, Samuel Kaski

CoRR, 2014

Stronger findings from mass spectral data through multi-peak modeling.

Tommi Suvitaival, Simon Rogers, Samuel Kaski

BMC Bioinform., 2014

Probabilistic drug connectivity mapping.

Juuso A. Parkkinen, Samuel Kaski

BMC Bioinform., 2014

Stronger findings for metabolomics through Bayesian modeling of multiple peaks and compound correlations.

Tommi Suvitaival, Simon Rogers, Samuel Kaski

Bioinform., 2014

Exploration and retrieval of whole-metagenome sequencing samples.

Sohan Seth, Niko Välimäki, Samuel Kaski, Antti Honkela

Bioinform., 2014

Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.

Pekka Marttinen, Matti Pirinen, Antti-Pekka Sarin, Jussi Gillberg, Johannes Kettunen, Ida Surakka, Antti J. Kangas, Pasi Soininen, Paul F. O'Reilly, Marika Kaakinen, Mika Kähönen, Terho Lehtimäki, Mika Ala-Korpela, Olli T. Raitakari, Veikko Salomaa, Marjo-Riitta Järvelin, Samuli Ripatti, Samuel Kaski

Bioinform., 2014

Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis.

Suleiman A. Khan, Seppo Virtanen, Olli-P. Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski

Bioinform., 2014

Predicting term-relevance from brain signals.

Manuel J. A. Eugster, Tuukka Ruotsalo, Michiel M. A. Spapé, Ilkka Kosunen, Oswald Barral, Niklas Ravaja, Giulio Jacucci, Samuel Kaski

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Bayesian Multi-view Tensor Factorization.

Suleiman A. Khan, Samuel Kaski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Retrieval of Experiments by Efficient Comparison of Marginal Likelihoods.

Sohan Seth, John Shawe-Taylor, Samuel Kaski

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Optimization Equivalence of Divergences Improves Neighbor Embedding.

Zhirong Yang, Jaakko Peltonen, Samuel Kaski

Proceedings of the 31th International Conference on Machine Learning, 2014

Intentradar: search user interface that anticipates user's search intents.

Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Preface.

Samuel Kaski, Jukka Corander

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Optimal Neighborhood Preserving Visualization by Maximum Satisfiability.

Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Bayesian Canonical correlation analysis.

Arto Klami, Seppo Virtanen, Samuel Kaski

J. Mach. Learn. Res., 2013

Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects.

Jussi Gillberg, Pekka Marttinen, Matti Pirinen, Antti J. Kangas, Pasi Soininen, Marjo-Riitta Järvelin, Mika Ala-Korpela, Samuel Kaski

CoRR, 2013

Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space.

Ritabrata Dutta, Sohan Seth, Samuel Kaski

CoRR, 2013

Information Retrieval Perspective to Interactive Data Visualization.

Jaakko Peltonen, Max Sandholm, Samuel Kaski

Proceedings of the 15th Eurographics Conference on Visualization, 2013

SciNet: a system for browsing scientific literature through keyword manipulation.

Dorota Glowacka, Tuukka Ruotsalo, Ksenia Konyushkova, Kumaripaba Athukorala, Samuel Kaski, Giulio Jacucci

Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Directing exploratory search: reinforcement learning from user interactions with keywords.

Dorota Glowacka, Tuukka Ruotsalo, Ksenia Konyushkova, Kumaripaba Athukorala, Samuel Kaski, Giulio Jacucci

Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Scalable Optimization of Neighbor Embedding for Visualization.

Zhirong Yang, Jaakko Peltonen, Samuel Kaski

Proceedings of the 30th International Conference on Machine Learning, 2013

Kernelized Bayesian Matrix Factorization.

Mehmet Gönen, Suleiman A. Khan, Samuel Kaski

Proceedings of the 30th International Conference on Machine Learning, 2013

Adaptive timeline interface to personal history data.

Antti Ajanki, Markus Koskela, Jorma Laaksonen, Samuel Kaski

Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Directing exploratory search with interactive intent modeling.

Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Supporting exploratory search tasks with interactive user modeling.

Tuukka Ruotsalo, Kumaripaba Athukorala, Dorota Glowacka, Ksenia Konyushkova, Antti Oulasvirta, Samuli Kaipiainen, Samuel Kaski, Giulio Jacucci

Proceedings of the Beyond the Cloud: Rethinking Information Boundaries, 2013

2012

Focused multi-task learning in a Gaussian process framework.

Gayle Leen, Jaakko Peltonen, Samuel Kaski

Mach. Learn., 2012

Bayesian Group Factor Analysis.

Seppo Virtanen, Arto Klami, Suleiman A. Khan, Samuel Kaski

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Machine learning for signal processing 2010.

Jaakko Peltonen, Tapani Raiko, Samuel Kaski

Neurocomputing, 2012

Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs.

Suleiman A. Khan, Ali Faisal, John Mpindi, Juuso A. Parkkinen, Tuomo Kalliokoski, Antti Poso, Olli-P. Kallioniemi, Krister Wennerberg, Samuel Kaski

BMC Bioinform., 2012

Targeted retrieval of gene expression measurements using regulatory models.

Elisabeth Georgii, Jarkko Salojärvi, Mikael Brosché, Jaakko Kangasjärvi, Samuel Kaski

Bioinform., 2012

Data-driven information retrieval in heterogeneous collections of transcriptomics data links <i>SIM2s</i> to malignant pleural mesothelioma.

José Caldas, Nils Gehlenborg, Eeva Kettunen, Ali Faisal, Mikko Rönty, Andrew G. Nicholson, Sakari Knuutila, Alvis Brazma, Samuel Kaski

Bioinform., 2012

Unsupervised Inference of Auditory Attention from Biosensors.

Melih Kandemir, Arto Klami, Akos Vetek, Samuel Kaski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Learning relevance from natural eye movements in pervasive interfaces.

Melih Kandemir, Samuel Kaski

Proceedings of the International Conference on Multimodal Interaction, 2012

Sparse Nonparametric Topic Model for Transfer Learning.

Ali Faisal, Jussi Gillberg, Jaakko Peltonen, Gayle Leen, Samuel Kaski

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

An augmented reality interface to contextual information.

Antti Ajanki, Mark Billinghurst, Hannes Gamper, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen

Virtual Real., 2011

Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays.

Leo Lahti, Laura Elo, Tero Aittokallio, Samuel Kaski

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Dimensionality Reduction for Data Visualization [Applications Corner].

Samuel Kaski, Jaakko Peltonen

IEEE Signal Process. Mag., 2011

Metabolic Regulation in Progression to Autoimmune Diabetes.

Marko Sysi-Aho, Andrey Ermolov, Peddinti V. Gopalacharyulu, Abhishek Tripathi, Tuulikki Seppänen-Laakso, Johanna Maukonen, Ismo Mattila, Suvi T. Ruohonen, Laura Vähätalo, Laxman Yetukuri, Taina Härkönen, Erno Lindfors, Janne Nikkilä, Jorma Ilonen, Olli Simell, Maria Saarela, Mikael Knip, Samuel Kaski, Eriika Savontaus, Matej Oresic

PLoS Comput. Biol., 2011

Introduction to the special issue on mining and learning with graphs.

S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel

Mach. Learn., 2011

Generative Modeling for Maximizing Precision and Recall in Information Visualization.

Jaakko Peltonen, Samuel Kaski

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Hierarchical Generative Biclustering for MicroRNA Expression Analysis.

José Caldas, Samuel Kaski

J. Comput. Biol., 2011

Matching samples of multiple views.

Abhishek Tripathi, Arto Klami, Matej Oresic, Samuel Kaski

Data Min. Knowl. Discov., 2011

Focused Multi-task Learning Using Gaussian Processes.

Gayle Leen, Jaakko Peltonen, Samuel Kaski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Multitask Learning Using Regularized Multiple Kernel Learning.

Mehmet Gönen, Melih Kandemir, Samuel Kaski

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Bayesian CCA via Group Sparsity.

Seppo Virtanen, Arto Klami, Samuel Kaski

Proceedings of the 28th International Conference on Machine Learning, 2011

Cross-Species Translation of Multi-way Biomarkers.

Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic, Samuel Kaski

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Probabilistic Proactive Timeline Browser.

Antti Ajanki, Samuel Kaski

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Three Paths to Relevance.

Samuel Kaski

Proceedings of the Brain-Inspired Information Technology, 2010

Self-Organizing Maps.

Samuel Kaski

Proceedings of the Encyclopedia of Machine Learning, 2010

Infinite factorization of multiple non-parametric views.

Simon Rogers, Arto Klami, Janne Sinkkonen, Mark A. Girolami, Samuel Kaski

Mach. Learn., 2010

Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization.

Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos, Samuel Kaski

J. Mach. Learn. Res., 2010

Pinview: Implicit Feedback in Content-Based Image Retrieval.

Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa, John Shawe-Taylor

Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

Relevant subtask learning by constrained mixture models.

Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski

Intell. Data Anal., 2010

Searching for functional gene modules with interaction component models.

Juuso A. Parkkinen, Samuel Kaski

BMC Syst. Biol., 2010

Global modeling of transcriptional responses in interaction networks.

Leo Lahti, Juha E. A. Knuuttila, Samuel Kaski

Bioinform., 2010

Multivariate multi-way analysis of multi-source data.

Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski

Bioinform., 2010

Bayesian exponential family projections for coupled data sources.

Arto Klami, Seppo Virtanen, Samuel Kaski

Proceedings of the UAI 2010, 2010

Variational Bayesian Mixture of Robust CCA Models.

Jaakko Viinikanoja, Arto Klami, Samuel Kaski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Graphical Multi-way Models.

Ilkka Huopaniemi, Tommi Suvitaival, Matej Oresic, Samuel Kaski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Graph visualization with latent variable models.

Juuso A. Parkkinen, Kristian Nybo, Jaakko Peltonen, Samuel Kaski

Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

An information retrieval perspective on visualization of gene expression data with ontological annotation.

Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma, Samuel Kaski

Proceedings of the IEEE International Conference on Acoustics, 2010

Inferring object relevance from gaze in dynamic scenes.

Melih Kandemir, Veli-Matti Saarinen, Samuel Kaski

Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, 2010

2009

Can eyes reveal interest? Implicit queries from gaze patterns.

Antti Ajanki, David R. Hardoon, Samuel Kaski, Kai Puolamäki, John Shawe-Taylor

User Model. User Adapt. Interact., 2009

Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli.

Jarkko Ylipaavalniemi, Eerika Savia, Sanna Malinen, Riitta Hari, Ricardo Vigário, Samuel Kaski

NeuroImage, 2009

Latent grouping models for user preference prediction.

Eerika Savia, Kai Puolamäki, Samuel Kaski

Mach. Learn., 2009

Two-way analysis of high-dimensional collinear data.

Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski

Data Min. Knowl. Discov., 2009

Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations.

Jaakko Peltonen, Jarkko Venna, Samuel Kaski

Comput. Stat. Data Anal., 2009

Probabilistic retrieval and visualization of biologically relevant microarray experiments.

José Caldas, Nils Gehlenborg, Ali Faisal, Alvis Brazma, Samuel Kaski

BMC Bioinform., 2009

Two-Way Grouping by One-Way Topic Models.

Eerika Savia, Kai Puolamäki, Samuel Kaski

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Bayesian Solutions to the Label Switching Problem.

Kai Puolamäki, Samuel Kaski

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

GaZIR: gaze-based zooming interface for image retrieval.

László Kozma, Arto Klami, Samuel Kaski

Proceedings of the 11th International Conference on Multimodal Interfaces, 2009

Learning to rank images from eye movements.

Kitsuchart Pasupa, Craig Saunders, Sándor Szedmák, Arto Klami, Samuel Kaski, Steve R. Gunn

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Using dependencies to pair samples for multi-view learning.

Abhishek Tripathi, Arto Klami, Samuel Kaski

Proceedings of the IEEE International Conference on Acoustics, 2009

Fast dependent components for fMRI analysis.

Eerika Savia, Arto Klami, Samuel Kaski

Proceedings of the IEEE International Conference on Acoustics, 2009

Supervised nonlinear dimensionality reduction by Neighbor Retrieval.

Jaakko Peltonen, Helena Aidos, Samuel Kaski

Proceedings of the IEEE International Conference on Acoustics, 2009

Automatic Choice of Control Measurements.

Gayle Leen, David R. Hardoon, Samuel Kaski

Proceedings of the Advances in Machine Learning, 2009

2008

Probabilistic approach to detecting dependencies between data sets.

Arto Klami, Samuel Kaski

Neurocomputing, 2008

Simple integrative preprocessing preserves what is shared in data sources.

Abhishek Tripathi, Arto Klami, Samuel Kaski

BMC Bioinform., 2008

Can relevance of images be inferred from eye movements?

Arto Klami, Craig Saunders, Teófilo Emídio de Campos, Samuel Kaski

Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

An Analysis of Generalization Error in Relevant Subtask Learning.

Keisuke Yamazaki, Samuel Kaski

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Learning to learn implicit queries from gaze patterns.

Kai Puolamäki, Antti Ajanki, Samuel Kaski

Proceedings of the Machine Learning, 2008

2007

Nonlinear Dimensionality Reduction as Information Retrieval.

Jarkko Venna, Samuel Kaski

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Information Retrieval by Inferring Implicit Queries from Eye Movements.

David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Comparison of visualization methods for an atlas of gene expression data sets.

Jarkko Venna, Samuel Kaski

Inf. Vis., 2007

Methods for estimating human endogenous retrovirus activities from EST databases.

Merja Oja, Jaakko Peltonen, Jonas Blomberg, Samuel Kaski

BMC Bioinform., 2007

Probabilistic modeling and machine learning in structural and systems biology.

Samuel Kaski, Juho Rousu, Esko Ukkonen

BMC Bioinform., 2007

Inferring Vertex Properties from Topology in Large Networks.

Janne Sinkkonen, Janne Aukia, Samuel Kaski

Proceedings of the Mining and Learning with Graphs, 2007

Local dependent components.

Arto Klami, Samuel Kaski

Proceedings of the Machine Learning, 2007

Functional elements and networks in fMRI.

Jarkko Ylipaavalniemi, Eerika Savia, Ricardo Vigário, Samuel Kaski

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Learning from Relevant Tasks Only.

Samuel Kaski, Jaakko Peltonen

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Local multidimensional scaling.

Jarkko Venna, Samuel Kaski

Neural Networks, 2006

Visualizing gene interaction graphs with local multidimensional scaling.

Jarkko Venna, Samuel Kaski

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Neural networks and machine learning in bioinformatics - theory and applications.

Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

Discriminative components of data.

Jaakko Peltonen, Samuel Kaski

IEEE Trans. Neural Networks, 2005

Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets.

Samuel Kaski, Janne Nikkilä, Janne Sinkkonen, Leo Lahti, Juha E. A. Knuuttila, Christophe Roos

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Discriminative clustering.

Samuel Kaski, Janne Sinkkonen, Arto Klami

Neurocomputing, 2005

Self-organizing map-based discovery and visualization of human endogenous retroviral sequence groups.

Merja Oja, Göran O. Sperber, Jonas Blomberg, Samuel Kaski

Int. J. Neural Syst., 2005

Exploratory modeling of yeast stress response and its regulation with gcca and associative clustering.

Janne Nikkilä, Christophe Roos, Eerika Savia, Samuel Kaski

Int. J. Neural Syst., 2005

Two-Way Latent Grouping Model for User Preference Prediction.

Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski

Proceedings of the UAI '05, 2005

Combining eye movements and collaborative filtering for proactive information retrieval.

Kai Puolamäki, Jarkko Salojärvi, Eerika Savia, Jaana Simola, Samuel Kaski

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Expectation maximization algorithms for conditional likelihoods.

Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski

Proceedings of the Machine Learning, 2005

Non-parametric dependent components.

Arto Klami, Samuel Kaski

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Implicit Relevance Feedback from Eye Movements.

Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

On Discriminative Joint Density Modeling.

Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Principle of Learning Metrics for Exploratory Data Analysis.

Samuel Kaski, Janne Sinkkonen

J. VLSI Signal Process., 2004

Improved learning of Riemannian metrics for exploratory analysis.

Jaakko Peltonen, Arto Klami, Samuel Kaski

Neural Networks, 2004

Mining massive document collections by the WEBSOM method.

Krista Lagus, Samuel Kaski, Teuvo Kohonen

Inf. Sci., 2004

Exploring Dependencies Between Yeast Stress Genes and Their Regulators.

Janne Nikkilä, Christophe Roos, Samuel Kaski

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Sequential information bottleneck for finite data.

Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski

Proceedings of the Machine Learning, 2004

Associative Clustering.

Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Samuel Kaski

Proceedings of the Machine Learning: ECML 2004, 2004

Grouping and visualizing human endogenous retroviruses by bootstrapping median self-organizing maps.

Merja Oja, Göran O. Sperber, Jonas Blomberg, Samuel Kaski

Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

2003

Methods for Exploratory Cluster Analysis.

Samuel Kaski, Janne Nikkilä, Teuvo Kohonen

Proceedings of the Intelligent Exploration of the Web, 2003

Trustworthiness and metrics in visualizing similarity of gene expression.

Samuel Kaski, Janne Nikkilä, Merja Oja, Jarkko Venna, Petri Törönen, Eero Castrén

BMC Bioinform., 2003

Regularized discriminative clustering.

Samuel Kaski, Janne Sinkkonen, Arto Klami

Proceedings of the NNSP 2003, 2003

Informative Discriminant Analysis.

Samuel Kaski, Jaakko Peltonen

Proceedings of the Machine Learning, 2003

Visualizations for Assessing Convergence and Mixing of MCMC.

Jarkko Venna, Samuel Kaski, Jaakko Peltonen

Proceedings of the Machine Learning: ECML 2003, 2003

2002

Analysis and visualization of gene expression data using Self-Organizing Maps.

Janne Nikkilä, Petri Törönen, Samuel Kaski, Jarkko Venna, Eero Castrén, Garry Wong

Neural Networks, 2002

Clustering Based on Conditional Distributions in an Auxiliary Space.

Janne Sinkkonen, Samuel Kaski

Neural Comput., 2002

Electronic editor: automatic content-based sequential compilation of newspaper articles.

Ville Ollikainen, Christer Bäckström, Samuel Kaski

Neurocomputing, 2002

Learning More Accurate Metrics for Self-Organizing Maps.

Jaakko Peltonen, Arto Klami, Samuel Kaski

Proceedings of the Artificial Neural Networks, 2002

Discriminative Clustering: Optimal Contingency Tables by Learning Metrics.

Janne Sinkkonen, Samuel Kaski, Janne Nikkilä

Proceedings of the Machine Learning: ECML 2002, 2002

2001

Bankruptcy analysis with self-organizing maps in learning metrics.

Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen

IEEE Trans. Neural Networks, 2001

A Topography-Preserving Latent Variable Model with Learning Metrics.

Samuel Kaski, Janne Sinkkonen

Proceedings of the Advances in Self-Organising Maps, 2001

SOM-Based Exploratory Analysis of Gene Expression Data.

Samuel Kaski

Proceedings of the Advances in Self-Organising Maps, 2001

Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study.

Jarkko Venna, Samuel Kaski

Proceedings of the Artificial Neural Networks, 2001

Clustering Gene Expression Data by Mutual Information with Gene Function.

Samuel Kaski, Janne Sinkkonen, Janne Nikkilä

Proceedings of the Artificial Neural Networks, 2001

Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics.

Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen

Proceedings of the Data Warehousing and Knowledge Discovery, 2001

2000

Self organization of a massive document collection.

Teuvo Kohonen, Samuel Kaski, Krista Lagus, Jarkko Salojärvi, Jukka Honkela, Vesa Paatero, Antti Saarela

IEEE Trans. Neural Networks Learn. Syst., 2000

Metrics that Learn Relevance.

Samuel Kaski, Janne Sinkkonen

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Clustering by Similarity in an Auxiliary Space.

Janne Sinkkonen, Samuel Kaski

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999

Websom for Textual Data Mining.

Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen

Artif. Intell. Rev., 1999

1998

WEBSOM - Self-organizing maps of document collections.

Samuel Kaski, Timo Honkela, Krista Lagus, Teuvo Kohonen

Neurocomputing, 1998

Methods for interpreting a self-organized map in data analysis.

Samuel Kaski, Janne Nikkilä, Teuvo Kohonen

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997

Computationally Efficient Approximation of a Probabilistic Model for Document Representation in the WEBSOM Full-Text Analysis Method.

Samuel Kaski

Neural Process. Lett., 1997

Self-organized Formation of Various Invariant-feature Filters in the Adaptive-subspace SOM.

Teuvo Kohonen, Samuel Kaski, Harri Lappalainen

Neural Comput., 1997

1996

Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration.

Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Exploration of full-text databases with self-organizing maps.

Timo Honkela, Samuel Kaski, Krista Lagus, Teuvo Kohonen

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Compression of vector quantization code sequences based on code frequencies and spatial redundancies.

Jari Kangas, Samuel Kaski

Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Very Large Two-Level SOM for the Browsing of Newsgroups.

Teuvo Kohonen, Samuel Kaski, Krista Lagus, Timo Honkela

Proceedings of the Artificial Neural Networks, 1996

Comparing Self-Organizing Maps.

Samuel Kaski, Krista Lagus

Proceedings of the Artificial Neural Networks, 1996

1994

Winner-take-all networks for physiological models of competitive learning.

Samuel Kaski, Teuvo Kohonen

Neural Networks, 1994

1992

Using phoneme group specific LVQ-codebooks with HMMs.

Pekka Utela, Samuel Kaski, Kari Torkkola

Proceedings of the Second International Conference on Spoken Language Processing, 1992