| 2025 | UAI | Offline Changepoint Detection With Gaussian Processes. | Janneke Verbeek, Tom Heskes, Yuliya Shapovalova |
| 2022 | CADE | Guiding an Automated Theorem Prover with Neural Rewriting. | Jelle Piepenbrock, Tom Heskes, Mikols Janota, Josef Urban |
| 2020 | UAI | MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models. | Ioan Gabriel Bucur, Tom Claassen, Tom Heskes |
| 2018 | UAI | Learning the Causal Structure of Copula Models with Latent Variables. | Ruifei Cui, Perry Groot, Moritz Schauer, Tom Heskes |
| 2017 | AISTATS | Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness. | Ioan Gabriel Bucur, Tom Claassen, Tom Heskes |
| 2017 | ICDM | Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing Values. | Ruifei Cui, Perry Groot, Tom Heskes |
| 2016 | ALIFE | Exploring Constraint: Simulating Self-Organization and Autogenesis in the Autogenic Automaton. | Terrence W. Deacon, Tom Heskes, Stefan Leijnen |
| 2016 | ICAART | Causal Discovery from Big Data - Mission (Im)possible?. | Tom Heskes |
| 2015 | AIME | Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data. | Elena Sokolova, Perry Groot, Tom Claassen, Daniel von Rhein, Jan K. Buitelaar, Tom Heskes |
| 2015 | DIS | KeCo: Kernel-Based Online Co-agreement Algorithm. | Laurens Wiel, Tom Heskes, Evgeni Levin |
| 2015 | IDA | Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering. | Fabian Gieseke, Tapio Pahikkala, Tom Heskes |
| 2015 | IWANN | Domain Generalization Based on Transfer Component Analysis. | Thomas Grubinger, Adriana Birlutiu, Holger Schner, Thomas Natschlger, Tom Heskes |
| 2014 | ACL | Unsupervised Feature Learning for Visual Sign Language Identification. | Binyam Gebrekidan Gebre, Onno Crasborn, Peter Wittenburg, Sebastian Drude, Tom Heskes |
| 2014 | ICASSP | Motion history images for online speaker/signer diarization. | Binyam Gebrekidan Gebre, Peter Wittenburg, Tom Heskes, Sebastian Drude |
| 2014 | ICONIP | Mutual Information Estimation with Random Forests. | Mike Koeman, Tom Heskes |
| 2014 | Interspeech | Speaker diarization using gesture and speech. | Binyam Gebrekidan Gebre, Peter Wittenburg, Sebastian Drude, Marijn Huijbregts, Tom Heskes |
| 2013 | CVPR | Automatic Signer Diarization - The Mover Is the Signer Approach. | Binyam Gebrekidan Gebre, Peter Wittenburg, Tom Heskes |
| 2013 | ICASSP | The gesturer is the speaker. | Binyam Gebrekidan Gebre, Peter Wittenburg, Tom Heskes |
| 2013 | ICIP | Automatic sign language identification. | Binyam Gebrekidan Gebre, Peter Wittenburg, Tom Heskes |
| 2013 | IJCAI | Bayesian Probabilities for Constraint-Based Causal Discovery. | Tom Claassen, Tom Heskes |
| 2013 | UAI | Learning Sparse Causal Models is not NP-hard. | Tom Claassen, Joris M. Mooij, Tom Heskes |
| 2013 | UAI | Cyclic Causal Discovery from Continuous Equilibrium Data. | Joris M. Mooij, Tom Heskes |
| 2012 | CADE | Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics. | Daniel Khlwein, Twan van Laarhoven, Evgeni Tsivtsivadze, Josef Urban, Tom Heskes |
| 2012 | DIS | Online Co-regularized Algorithms. | Tom de Ruijter, Evgeni Tsivtsivadze, Tom Heskes |
| 2012 | UAI | A Bayesian Approach to Constraint Based Causal Inference. | Tom Claassen, Tom Heskes |
| 2011 | ESANN | A structure independent algorithm for causal discovery. | Tom Claassen, Tom Heskes |
| 2011 | ESANN | Learning of causal relations. | John A. Quinn, Joris M. Mooij, Tom Heskes, Michael Biehl |
| 2011 | IC3K | Multi-output Ranking for Automated Reasoning. | Daniel Khlwein, Josef Urban, Evgeni Tsivtsivadze, Herman Geuvers, Tom Heskes |
| 2011 | ICANN | A Markov Random Field Approach to Neural Encoding and Decoding. | Marcel van Gerven, Eric Maris, Tom Heskes |
| 2011 | ICANN | Learning from Multiple Annotators with Gaussian Processes. | Perry Groot, Adriana Birlutiu, Tom Heskes |
| 2011 | UAI | A Logical Characterization of Constraint-Based Causal Discovery. | Tom Claassen, Tom Heskes |
| 2011 | SDM | Semantic Graph Kernels for Automated Reasoning. | Evgeni Tsivtsivadze, Josef Urban, Herman Geuvers, Tom Heskes |
| 2010 | ECAI | Bayesian Monte Carlo for the Global Optimization of Expensive Functions. | Perry Groot, Adriana Birlutiu, Tom Heskes |
| 2009 | ESANN | Exploring the impact of alternative feature representations on BCI classification. | Ali Bahramisharif, Marcel van Gerven, Tom Heskes |
| 2009 | ESANN | Multi-task Preference learning with Gaussian Processes. | Adriana Birlutiu, Perry Groot, Tom Heskes |
| 2008 | UAI | Bounds on the Bethe Free Energy for Gaussian Networks. | Botond Cseke, Tom Heskes |
| 2005 | AISTATS | Gaussian Quadrature Based Expectation Propagation. | Onno Zoeter, Tom Heskes |
| 2005 | SGAI | Exploring the Noisy Threshold Function in Designing Bayesian Networks. | Rasa Jurgelenaite, Peter J. F. Lucas, Tom Heskes |
| 2004 | ESANN | Novel approximations for inference and learning in nonlinear dynamical systems. | Alexander Ypma, Tom Heskes |
| 2003 | AISTATS | Generalized belief propagation for approximate inference in hybrid Bayesian networks. | Tom Heskes, Onno Zoeter |
| 2003 | ICANN | Multi-scale Switching Linear Dynamical Systems. | Onno Zoeter, Tom Heskes |
| 2003 | UAI | Approximate Inference and Constrained Optimization. | Tom Heskes, Kees Albers, Bert Kappen |
| 2002 | ICANN | Model Clustering for Neural Network Ensembles. | Bart Bakker, Tom Heskes |
| 2002 | KDD | Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models. | Alexander Ypma, Tom Heskes |
| 2002 | UAI | Expectation Propogation for Approximate Inference in Dynamic Bayesian Networks. | Tom Heskes, Onno Zoeter |
| 2002 | UAI | IPF for Discrete Chain Factor Graphs. | Wim Wiegerinck, Tom Heskes |
| 2000 | ICML | Empirical Bayes for Learning to Learn. | Tom Heskes |
| 2000 | ICPR | General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of Distributions. | Jakob Vogdrup Hansen, Tom Heskes |
| 2000 | IJCNN | EM Algorithms for Self-Organizing Maps. | Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck |
| 1999 | ESANN | Model clustering by deterministic annealing. | Bart Bakker, Tom Heskes |
| 1998 | ICML | Solving a Huge Number of Similar Tasks: A Combination of Multi-Task Learning and a Hierarchical Bayesian Approach. | Tom Heskes |
| 1997 | ICANN | Input Selection with Partial Retraining. | Pirre van de Laar, Stan C. A. M. Gielen, Tom Heskes |
| 1994 | ESANN | Stochastics of on-line back-propagation. | Tom Heskes |