Kristian Kersting
Orcid: 0000-0002-2873-9152Affiliations:
- TU Darmstadt, Computer Science Department, Germany
- TU Darmstadt, Centre for Cognitive Science, Germany
- TU Dortmund, Department of Computer Science, Germany
- University of Bonn, Faculty of Agriculture, Germany
- Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Sankt Augustin, Germany
- Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory (CSAIL), Cambridge, MA, USA
- University of Freiburg, Machine Learning Laborator, Germany (PhD 2005)
According to our database1,
Kristian Kersting
authored at least 411 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images.
Remote. Sens., January, 2024
Mach. Learn., 2024
United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Checkmating One, by Using Many: Combining Mixture of Experts with MCTS to Improve in Chess.
CoRR, 2024
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You.
CoRR, 2024
2023
Mach. Learn., May, 2023
Nat. Mac. Intell., March, 2023
Frontiers Artif. Intell., February, 2023
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong.
Frontiers Artif. Intell., February, 2023
J. Artif. Intell. Res., 2023
CoRR, 2023
Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization.
CoRR, 2023
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks.
CoRR, 2023
CoRR, 2023
Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge.
CoRR, 2023
CoRR, 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models.
CoRR, 2023
Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness?
CoRR, 2023
Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman.
CoRR, 2023
CoRR, 2023
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation.
CoRR, 2023
ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the AAAI Bridge Program on Continual Causality, 2023
2022
Proc. Priv. Enhancing Technol., 2022
Large pre-trained language models contain human-like biases of what is right and wrong to do.
Nat. Mach. Intell., 2022
Int. J. Approx. Reason., 2022
Frontiers Artif. Intell., 2022
Dagstuhl Reports, 2022
Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models.
CoRR, 2022
The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022
Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Artificial Intelligence Applications and Innovations, 2022
Proceedings of the International Conference on Machine Learning, 2022
CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Artificial Intelligence in Medicine, 2022
2021
Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation.
Frontiers Artif. Intell., 2021
ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition.
Frontiers Robotics AI, 2021
Editorial: Robots that Learn and Reason: Towards Learning Logic Rules from Noisy Data.
Frontiers Robotics AI, 2021
Data Min. Knowl. Discov., 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021
Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations.
Nat. Mach. Intell., 2020
Künstliche Intell., 2020
Int. J. Robotics Res., 2020
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data.
Frontiers Artif. Intell., 2020
Datenbank-Spektrum, 2020
Dagstuhl Reports, 2020
Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations.
CoRR, 2020
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September, 2020
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
Proceedings of the PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, 2020
2019
Remote. Sens., 2019
Frontiers Robotics AI, 2019
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning.
Frontiers Big Data, 2019
Data Min. Knowl. Discov., 2019
CoRR, 2019
Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning.
CoRR, 2019
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks.
CoRR, 2019
Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach.
Auton. Robots, 2019
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the Inductive Logic Programming - 29th International Conference, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the International Conference on Field-Programmable Technology, 2019
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019
Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
From Big Data to Big Artificial Intelligence? - Algorithmic Challenges and Opportunities of Big Data.
Künstliche Intell., 2018
Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines.
Frontiers Big Data, 2018
"Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users.
CoRR, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators.
Proceedings of the 36th IEEE International Conference on Computer Design, 2018
Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Trans. GIS, 2017
Semantic Interpretation of Multi-Modal Human-Behaviour Data - Making Sense of Events, Activities, Processes.
Künstliche Intell., 2017
A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels.
CoRR, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Inductive Logic Programming - 27th International Conference, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01574-8, 2016
Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants.
Proceedings of the Computational Sustainability, 2016
Mach. Learn., 2016
How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?
Entropy, 2016
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage.
CoRR, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the Inductive Logic Programming - 26th International Conference, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016
Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Proceedings of the Declarative Learning Based Programming, 2016
2015
Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases.
Mach. Learn., 2015
Mach. Learn., 2015
Statistical Relational Artificial Intelligence: From Distributions through Actions to Optimization.
Künstliche Intell., 2015
J. Mach. Learn. Res., 2015
CoRR, 2015
Automated interpretation of 3D laserscanned point clouds for plant organ segmentation.
BMC Bioinform., 2015
LTE Connectivity and Vehicular Traffic Prediction Based on Machine Learning Approaches.
Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Ninth International Conference on Web and Social Media, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study.
Proceedings of the Artificial Intelligence in Medicine, 2015
Proceedings of the Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2015
2014
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-13644-8, 2014
Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain.
Int. J. Mach. Learn. Cybern., 2014
Künstliche Intelligenz für Computerspiele - Historische Entwicklung und aktuelle Trends.
Inform. Spektrum, 2014
CoRR, 2014
High-level Reasoning and Low-level Learning for Grasping: A Probabilistic Logic Pipeline.
CoRR, 2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014
Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge.
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the Algorithms - ESA 2014, 2014
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Proceedings of the Statistical Relational Artificial Intelligence, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Proceedings of the Statistical Relational Artificial Intelligence, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Mach. Learn., 2013
Data Min. Knowl. Discov., 2013
Accelerating Imitation Learning in Relational Domains via Transfer by Initialization.
Proceedings of the Inductive Logic Programming - 23rd International Conference, 2013
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013
Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels.
Proceedings of the Asian Conference on Machine Learning, 2013
Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text.
Proceedings of the Statistical Relational Artificial Intelligence, 2013
Proceedings of the Statistical Relational Artificial Intelligence, 2013
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
Proceedings of the Statistical Relational Artificial Intelligence, 2013
2012
Gradient-based boosting for statistical relational learning: The relational dependency network case.
Mach. Learn., 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
J. Mach. Learn. Res., 2012
Descriptive matrix factorization for sustainability Adopting the principle of opposites.
Data Min. Knowl. Discov., 2012
Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Aggregation and Population Growth: The Relational Logistic Regression and Markov Logic Cases.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Accelarating Imitation Learning in Relational Domains via Transfer by Initialization.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012
A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
How players lose interest in playing a game: An empirical study based on distributions of total playing times.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning.
Mach. Learn., 2011
Knowl. Inf. Syst., 2011
Artif. Intell., 2011
Larger Residuals, Less Work: Active Document Scheduling for Latent Dirichlet Allocation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Biological Sequence Analysis meets Mobility Mining.
Proceedings of the Report of the symposium "Lernen, 2011
O Scientist, Where Art Thou? Affiliation Propagation for Geo-Referencing Scientific Publications.
Proceedings of the Report of the symposium "Lernen, 2011
On Lifted PageRank, Kalman Filter and Towards Lifted Linear Program Solving.
Proceedings of the Report of the symposium "Lernen, 2011
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011
Proceedings of the IJCAI 2011, 2011
Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter.
Proceedings of the IJCAI 2011, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Where traffic meets DNA: mobility mining using biological sequence analysis revisited.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011
Invited Talk: Increasing Representational Power and Scaling Inference in Reinforcement Learning.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
More influence means less work: fast latent dirichlet allocation by influence scheduling.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Proceedings of the 2nd Asian Conference on Machine Learning, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010
Proceedings of the LWA 2010, 2010
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010
Yes we can: simplex volume maximization for descriptive web-scale matrix factorization.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
Proceedings of the 20th International Conference on Automated Planning and Scheduling, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
Proceedings of the Statistical Relational Artificial Intelligence, 2010
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010
2009
A Bayesian regression approach to terrain mapping and an application to legged robot locomotion.
J. Field Robotics, 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009
Proceedings of the IJCAI 2009, 2009
Proceedings of the IJCAI 2009, 2009
Proceedings of the ICDM 2009, 2009
Proceedings of the ICDM 2009, 2009
2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Towards Engaging Games.
Proceedings of the LWA 2008, 2008
Proceedings of the Advances in Social Network Mining and Analysis, 2008
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008
Non-parametric policy gradients: a unified treatment of propositional and relational domains.
Proceedings of the Machine Learning, 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders.
Proceedings of the Robotics: Science and Systems III, 2007
Proceedings of the Machine Learning, 2007
07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis.
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007
2006
AI Commun., 2006
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
2005
PhD thesis, 2005
Proceedings of the UAI '05, 2005
Proceedings of the Proceedings, 2005
2004
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004
Proceedings of the Inductive Logic Programming, 14th International Conference, 2004
Proceedings of the Machine Learning: ECML 2004, 2004
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004
2003
Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003
Proceedings of the Machine Learning: ECML 2003, 2003
2002
Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning.
Artif. Intell. Medicine, 2002
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002
Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002
2001
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001
2000
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000