Learning More Accurate Metrics for Self-Organizing Maps. - Jaakko Peltonen; Arto Klami; Samuel Kaski (ICANN, 2002)

Regularized discriminative clustering. - Samuel Kaski; Janne Sinkkonen; Arto Klami (NNSP, 2003)

Improved learning of Riemannian metrics for exploratory analysis. - Jaakko Peltonen; Arto Klami; Samuel Kaski (Neural Networks, 2004)

Non-parametric dependent components. - Arto Klami; Samuel Kaski (ICASSP (5), 2005)

Discriminative clustering. - Samuel Kaski; Janne Sinkkonen; Arto Klami (Neurocomputing, 2005)

Local dependent components. - Arto Klami; Samuel Kaski (ICML, 2007)

Can relevance of images be inferred from eye movements? - Arto Klami; Craig Saunders; Teófilo Emídio de Campos; Samuel Kaski (Multimedia Information Retrieval, 2008)

Simple integrative preprocessing preserves what is shared in data sources. - Abhishek Tripathi; Arto Klami; Samuel Kaski (BMC Bioinform., 2008)

Probabilistic approach to detecting dependencies between data sets. - Arto Klami; Samuel Kaski (Neurocomputing, 2008)

Modeling of mutual dependencies. - Arto Klami (2008)

Fast dependent components for fMRI analysis. - Eerika Savia; Arto Klami; Samuel Kaski (ICASSP, 2009)

Using dependencies to pair samples for multi-view learning. - Abhishek Tripathi; Arto Klami; Samuel Kaski (ICASSP, 2009)

Learning to rank images from eye movements. - Kitsuchart Pasupa; Craig Saunders; Sándor Szedmák; Arto Klami; Samuel Kaski; Steve R. Gunn (ICCV Workshops, 2009)

GaZIR: gaze-based zooming interface for image retrieval. - László Kozma 002; Arto Klami; Samuel Kaski (ICMI, 2009)

Variational Bayesian Mixture of Robust CCA Models. - Jaakko Viinikanoja; Arto Klami; Samuel Kaski (ECML/PKDD (3), 2010)

Bayesian exponential family projections for coupled data sources. - Arto Klami; Seppo Virtanen; Samuel Kaski (UAI, 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 (WAPA, 2010)

Infinite factorization of multiple non-parametric views. - Simon Rogers; Arto Klami; Janne Sinkkonen; Mark A. Girolami; Samuel Kaski (Mach. Learn., 2010)

Bayesian CCA via Group Sparsity. - Seppo Virtanen; Arto Klami; Samuel Kaski (ICML, 2011)

Matching samples of multiple views. - Abhishek Tripathi; Arto Klami; Matej Oresic; Samuel Kaski (Data Min. Knowl. Discov., 2011)

Unsupervised Inference of Auditory Attention from Biosensors. - Melih Kandemir; Arto Klami; Akos Vetek; Samuel Kaski (ECML/PKDD (2), 2012)

Factorized Multi-Modal Topic Model. - Seppo Virtanen; Yangqing Jia; Arto Klami; Trevor Darrell (UAI, 2012)

Variational Bayesian Matching. - Arto Klami (ACML, 2012)

Bayesian Group Factor Analysis. - Seppo Virtanen; Arto Klami; Suleiman A. Khan; Samuel Kaski (AISTATS, 2012)

Gaussian process-based predictive modeling for bus ridership. - Sourav Bhattacharya; Santi Phithakkitnukoon; Petteri Nurmi; Arto Klami; Marco Veloso; Carlos Bento 001 (UbiComp (Adjunct Publication), 2013)

Bayesian Canonical correlation analysis. - Arto Klami; Seppo Virtanen; Samuel Kaski (J. Mach. Learn. Res., 2013)

Bayesian object matching. - Arto Klami (Mach. Learn., 2013)

Polya-gamma augmentations for factor models. - Arto Klami (ACML, 2014)

Group-sparse Embeddings in Collective Matrix Factorization. - Arto Klami; Guillaume Bouchard; Abhishek Tripathi (ICLR, 2014)

Multi-task and multi-view learning of user state. - Melih Kandemir; Akos Vetek; Mehmet Gönen; Arto Klami; Samuel Kaski (Neurocomputing, 2014)

Latent feature regression for multivariate count data. - Arto Klami; Abhishek Tripathi; Johannes Sirola; Lauri Väre; Frédéric Roulland (AISTATS, 2015)

IntentStreams: Smart Parallel Search Streams for Branching Exploratory Search. - Salvatore Andolina; Khalil Klouche; Jaakko Peltonen; Mohammad E. Hoque; Tuukka Ruotsalo; Diogo Cabral; Arto Klami; Dorota Glowacka; Patrik Floréen; Giulio Jacucci (IUI, 2015)

Identification of programmers from typing patterns. - Krista Longi; Juho Leinonen 001; Henrik Nygren; Joni Salmi; Arto Klami; Arto Vihavainen (Koli Calling, 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)

Group Factor Analysis. - Arto Klami; Seppo Virtanen; Eemeli Leppäaho; Samuel Kaski (IEEE Trans. Neural Networks Learn. Syst., 2015)

Typing Patterns and Authentication in Practical Programming Exams. - Juho Leinonen 001; Krista Longi; Arto Klami; Alireza Ahadi; Arto Vihavainen (ITiCSE, 2016)

Automatic Inference of Programming Performance and Experience from Typing Patterns. - Juho Leinonen 001; Krista Longi; Arto Klami; Arto Vihavainen (SIGCSE, 2016)

Probabilistic Size-constrained Microclustering. - Arto Klami; Aditya Jitta (UAI, 2016)

Using regression makes extraction of shared variation in multiple datasets easy. - Jussi Korpela; Andreas Henelius; Lauri Ahonen; Arto Klami; Kai Puolamäki (Data Min. Knowl. Discov., 2016)

Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources. - Krista Longi; Teemu Pulkkinen; Arto Klami (ACML, 2017)

Few-to-few Cross-domain Object Matching. - Aditya Jitta; Arto Klami (AMBN, 2017)

HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks. - Lidia Pivovarova; Llorenç Escoter; Arto Klami; Roman Yangarber (SemEval@ACL, 2017)

Importance Sampled Stochastic Optimization for Variational Inference. - Joseph Sakaya; Arto Klami (UAI, 2017)

Partially hidden Markov models for privacy-preserving modeling of indoor trajectories. - Aditya Jitta; Arto Klami (Neurocomputing, 2017)

On Controlling the Size of Clusters in Probabilistic Clustering. - Aditya Jitta; Arto Klami (AAAI, 2018)

Detecting Industrial fouling by monotonicity during ultrasonic Cleaning. - Chang Rajani; Arto Klami; Ari Salmi; Timo Rauhala; Edward Hæggström; Petri Myllymäki (MLSP, 2018)

Benchmarks and models for entity-oriented polarity detection. - Lidia Pivovarova; Arto Klami; Roman Yangarber (NAACL-HLT (3), 2018)

Lambert Matrix Factorization. - Arto Klami; Jarkko Lagus; Joseph Sakaya (ECML/PKDD (2), 2018)

Transfer-Learning Methods in Programming Course Outcome Prediction. - Jarkko Lagus; Krista Longi; Arto Klami; Arto Hellas (ACM Trans. Comput. Educ., 2018)

Low-Rank Approximations of Second-Order Document Representations. - Jarkko Lagus; Janne Sinkkonen; Arto Klami (CoNLL, 2019)

Variational Bayesian Decision-making for Continuous Utilities. - Tomasz Kusmierczyk; Joseph Sakaya; Arto Klami (NeurIPS, 2019)

Prior specification via prior predictive matching: Poisson matrix factorization and beyond. - Eliezer de Souza da Silva; Tomasz Kusmierczyk; Marcelo Hartmann; Arto Klami (CoRR, 2019)

Correcting Predictions for Approximate Bayesian Inference. - Tomasz Kusmierczyk; Joseph Sakaya; Arto Klami (AAAI, 2020)

Non-Linearities in Gaussian Processes with Integral Observations. - Ville Tanskanen; Krista Longi; Arto Klami (MLSP, 2020)

Flexible Prior Elicitation via the Prior Predictive Distribution. - Marcelo Hartmann; Georgi Agiashvili; Paul C. Bürkner; Arto Klami (UAI, 2020)

Sensor Placement for Spatial Gaussian Processes with Integral Observations. - Krista Longi; Chang Rajani; Tom Sillanpää; Joni Mäkinen; Timo Rauhala; Ari Salmi; Edward Hæggström; Arto Klami (UAI, 2020)

Multi-scale Cloud Detection in Remote Sensing Images using a Dual Convolutional Neural Network. - Markku Luotamo; Sari Metsämäki; Arto Klami (CoRR, 2020)

Mixture of Discrete Normalizing Flows for Variational Inference. - Tomasz Kusmierczyk; Arto Klami (CoRR, 2020)

Practical Camera Sensor Spectral Response and Uncertainty Estimation. - Mikko E. Toivonen; Arto Klami (J. Imaging, 2020)

Uplift Modeling with High Class Imbalance. - Otto Nyberg; Tomasz Kusmierczyk; Arto Klami (ACML, 2021)

Modeling Risky Choices in Unknown Environments. - Ville Tanskanen; Chang Rajani; Homayun Afrabandpey; Aini Putkonen; Aurélien Nioche; Arto Klami (ACML, 2021)

Learning to Lemmatize in the Word Representation Space. - Jarkko Lagus; Arto Klami (NoDaLiDa, 2021)

Reliably Calibrated Isotonic Regression. - Otto Nyberg; Arto Klami (PAKDD (1), 2021)

Visible Light Spectrum Extraction from Diffraction Images by Deconvolution and the Cepstrum. - Mikko E. Toivonen; Topi Talvitie; Chang Rajani; Arto Klami (J. Imaging, 2021)

Snapshot hyperspectral imaging using wide dilation networks. - Mikko E. Toivonen; Chang Rajani; Arto Klami (Mach. Vis. Appl., 2021)

Multiscale Cloud Detection in Remote Sensing Images Using a Dual Convolutional Neural Network. - Markku Luotamo; Sari Metsämäki; Arto Klami (IEEE Trans. Geosci. Remote. Sens., 2021)

Lagrangian manifold Monte Carlo on Monge patches. - Marcelo Hartmann; Mark Girolami; Arto Klami (AISTATS, 2022)

Optimizing singular value based similarity measures for document similarity comparisons. - Jarkko Lagus; Arto Klami (ICNLSP, 2022)

Second-order Document Similarity Metrics for Transformers. - Jarkko Lagus; Niki Andreas Lopi; Arto Klami (ICNLSP, 2022)

Traversing Time with Multi-Resolution Gaussian Process State-Space Models. - Krista Longi; Jakob Lindinger; Olaf Dünnbier; Melih Kandemir; Arto Klami; Barbara Rakitsch (L4DC, 2022)

How Suitable Is Your Naturalistic Dataset for Theory-based User Modeling? - Aini Putkonen; Aurélien Nioche; Ville Tanskanen; Arto Klami; Antti Oulasvirta (UMAP, 2022)

Neural network for determining an asteroid mineral composition from reflectance spectra. - David Korda; Antti Penttilä; Arto Klami; Tomás Kohout (CoRR, 2022)

Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network. - Maria Yli-Heikkilä; Samantha Wittke; Markku Luotamo; Eetu Puttonen; Mika Sulkava; Petri Pellikka; Janne Heiskanen; Arto Klami (Remote. Sens., 2022)

Transformed Gaussian Processes for Characterizing a Model's Discrepancy. - Aurélien Nioche; Ville Tanskanen; Marcelo Hartmann; Arto Klami (ACML, 2023)

Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection. - Lorenzo Perini; Paul-Christian Bürkner; Arto Klami (ICML, 2023)

Extending Interpolation Consistency Training for Unsupervised Domain Adaptation. - Shayan Gharib; Arto Klami (IJCNN, 2023)

Warped geometric information on the optimisation of Euclidean functions. - Marcelo Hartmann; Bernardo Williams; Hanlin Yu; Mark Girolami; Alessandro Barp; Arto Klami (CoRR, 2023)

Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching. - Eliezer de Souza da Silva; Tomasz Kusmierczyk; Marcelo Hartmann; Arto Klami (J. Mach. Learn. Res., 2023)

Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics. - Hanlin Yu; Marcelo Hartmann; Bernardo Williams; Arto Klami (Trans. Mach. Learn. Res., 2023)

Exploring uplift modeling with high class imbalance. - Otto Nyberg; Arto Klami (Data Min. Knowl. Discov., 2023)

PreliZ: A tool-box for prior elicitation. - Alejandro A. Icazatti; Oriol Abril Pla; Arto Klami; Osvaldo A. Martin (J. Open Source Softw., 2023)

Riemannian Laplace Approximation with the Fisher Metric. - Hanlin Yu; Marcelo Hartmann; Bernardo Williams Moreno Sanchez; Mark Girolami; Arto Klami (AISTATS, 2024)

Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders. - Teemu Sarapisto; Haoyu Wei; Keijo Heljanko; Arto Klami; Laura Ruotsalainen (ECAI, 2024)

Non-geodesically-convex optimization in the Wasserstein space. - Hoang Phuc Hau Luu; Hanlin Yu; Bernardo Williams; Petrus Mikkola; Marcelo Hartmann; Kai Puolamäki; Arto Klami (NeurIPS, 2024)

Preferential Normalizing Flows. - Petrus Mikkola; Luigi Acerbi; Arto Klami (NeurIPS, 2024)

Geometric No-U-Turn Samplers: Concepts and Evaluation. - Bernardo Williams; Hanlin Yu; Marcelo Hartmann; Arto Klami (PGM, 2024)

Quantifying uncertainty of uplift: Trees and T-learners. - Otto Nyberg; Arto Klami (Neurocomputing, 2024)

Contextual Policies Enable Efficient and Interpretable Inverse Reinforcement Learning for Populations. - Ville Tanskanen; Chang Rajani; Perttu Hämäläinen; Christian Guckelsberger; Arto Klami (Trans. Mach. Learn. Res., 2024)

On the Importance of Representation in Imitating Human-Like Gameplay. - Ville Tanskanen; Arto Klami; Ville Hautamäki (CoG, 2025)

Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold. - Hoang Phuc Hau Luu; Hanlin Yu; Bernardo Williams; Marcelo Hartmann; Arto Klami (ICLR, 2025)

Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature. - Bernardo Williams; Hanlin Yu; Hoang Phuc Hau Luu; Georgios Arvanitidis; Arto Klami (UAI, 2025)

Estimating expert prior knowledge from optimization trajectories. - Ville Tanskanen; Petrus Mikkola; Aras Erarslan; Arto Klami (Neurocomputing, 2025)

Density Ratio Estimation with Conditional Probability Paths. - Hanlin Yu; Arto Klami; Aapo Hyvärinen; Anna Korba; Omar Chehab (CoRR, 2025)

Learning geometry and topology via multi-chart flows. - Hanlin Yu; Søren Hauberg; Marcelo Hartmann; Arto Klami; Georgios Arvanitidis (CoRR, 2025)

Virtual Laboratories: Domain-agnostic workflows for research. - Carlos Sevilla-Salcedo; Armi Tiihonen; Mahsa Asadi; Kevin Sebastian Luck; Aras Umut Erarslan; Arto Klami; Samuel Kaski (CoRR, 2025)