Jan-Willem van de Meent

104 papers A* 17A 10Misc 1Journal 62Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CORDS: Continuous Representations of Discrete Structures. CoRR Tin Hadzi Veljkovic, Erik J. Bekkers, Michael Tiemann, Jan-Willem van de Meent
2026	J	`jnl`	Categorical Flow Maps. CoRR Daan Roos, Oscar Davis, Floor Eijkelboom, Michael M. Bronstein, Max Welling, Ismail Ilkan Ceylan, Luca Ambrogioni, Jan-Willem van de Meent
2026	J	`jnl`	Improving Local Explainability By Learning Causal Graphs From Data. Trans. Mach. Learn. Res. Daan Roos, Sebastian Gerwinn, Jan-Willem van de Meent, Sara Magliacane
2026	J	`jnl`	Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference. CoRR Jorge Carrasco Pollo, Floor Eijkelboom, Jan-Willem van de Meent
2025	A*	`conf`	Controlled Generation with Equivariant Variational Flow Matching. ICML Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama, Erik J. Bekkers, Max Welling, Christian A. Naesseth, Jan-Willem van de Meent
2025	J	`jnl`	Controlled Generation with Equivariant Variational Flow Matching. CoRR Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama, Erik J. Bekkers, Max Welling, Christian A. Naesseth, Jan-Willem van de Meent
2025	J	`jnl`	Discovering Lie Groups with Flow Matching. CoRR Jung Yeon Park, Yuxuan Chen, Floor Eijkelboom, Jan-Willem van de Meent, Lawson L. S. Wong, Robin Walters
2025	A*	`conf`	Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems. ICML Maksim Zhdanov, Max Welling, Jan-Willem van de Meent
2025	J	`jnl`	Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems. CoRR Maksim Zhdanov, Max Welling, Jan-Willem van de Meent
2025	A*	`conf`	Exponential Family Variational Flow Matching for Tabular Data Generation. ICML Andrés Guzmán-Cordero, Floor Eijkelboom, Jan-Willem van de Meent
2025	J	`jnl`	Exponential Family Variational Flow Matching for Tabular Data Generation. CoRR Andrés Guzmán-Cordero, Floor Eijkelboom, Jan-Willem van de Meent
2025	J	`jnl`	MSPT: Efficient Large-Scale Physical Modeling via Parallelized Multi-Scale Attention. CoRR Pedro M. P. Curvo, Jan-Willem van de Meent, Maksim Zhdanov
2025	A*	`conf`	On-Robot Reinforcement Learning with Goal-Contrastive Rewards. ICRA Ondrej Biza, Thomas Weng, Lingfeng Sun, Karl Schmeckpeper, Tarik Kelestemur, Yecheng Jason Ma, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong
2025	J	`jnl`	Purrception: Variational Flow Matching for Vector-Quantized Image Generation. CoRR Razvan-Andrei Matisan, Vincent Tao Hu, Grigory Bartosh, Björn Ommer, Cees G. M. Snoek, Max Welling, Jan-Willem van de Meent, Mohammad Mahdi Derakhshani, Floor Eijkelboom
2024	A*	`conf`	Entropy Coding of Unordered Data Structures. ICLR Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend
2024	J	`jnl`	Entropy Coding of Unordered Data Structures. CoRR Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend
2024	J	`jnl`	Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory. CoRR Mustafa Mert Çelikok, Frans A. Oliehoek, Jan-Willem van de Meent
2024	J	`jnl`	On-Robot Reinforcement Learning with Goal-Contrastive Rewards. CoRR Ondrej Biza, Thomas Weng, Lingfeng Sun, Karl Schmeckpeper, Tarik Kelestemur, Yecheng Jason Ma, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong
2024	A*	`conf`	Practical Shuffle Coding. NeurIPS Julius Kunze, Daniel Severo, Jan-Willem van de Meent, James Townsend
2024	—	`conf`	Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. NAACL-HLT Denis Jered McInerney, William Dickinson, Lucy C. Flynn, Andrea Young, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2024	J	`jnl`	Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. CoRR Denis Jered McInerney, William Dickinson, Lucy C. Flynn, Andrea Young, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2024	A*	`conf`	VISA: Variational Inference with Sequential Sample-Average Approximations. NeurIPS Heiko Zimmermann, Christian Andersson Naesseth, Jan-Willem van de Meent
2024	J	`jnl`	VISA: Variational Inference with Sequential Sample-Average Approximations. CoRR Heiko Zimmermann, Christian A. Naesseth, Jan-Willem van de Meent
2024	A*	`conf`	Variational Flow Matching for Graph Generation. NeurIPS Floor Eijkelboom, Grigory Bartosh, Christian Andersson Naesseth, Max Welling, Jan-Willem van de Meent
2024	J	`jnl`	Variational Flow Matching for Graph Generation. CoRR Floor Eijkelboom, Grigory Bartosh, Christian Andersson Naesseth, Max Welling, Jan-Willem van de Meent
2023	J	`jnl`	A Variational Perspective on Generative Flow Networks. Trans. Mach. Learn. Res. Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent, Christian A. Naesseth
2023	—	`conf`	CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models. EMNLP (Findings) Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2023	J	`jnl`	CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models. CoRR Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2023	A	`ed.`	International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain. AISTATS Francisco J. R. Ruiz, Jennifer G. Dy, Jan-Willem van de Meent
2023	Misc	`conf`	One-shot Imitation Learning via Interaction Warping. CoRL Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt
2023	J	`jnl`	One-shot Imitation Learning via Interaction Warping. CoRR Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt
2023	—	`conf`	String Diagrams with Factorized Densities. ACT Eli Sennesh, Jan-Willem van de Meent
2023	A*	`conf`	Topological Obstructions and How to Avoid Them. NeurIPS Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent
2023	J	`jnl`	Topological Obstructions and How to Avoid Them. CoRR Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent
2022	J	`jnl`	A Computational Neural Model for Mapping Degenerate Neural Architectures. Neuroinformatics Zulqarnain Khan, Yiyu Wang, Eli Sennesh, Jennifer G. Dy, Sarah Ostadabbas, Jan-Willem van de Meent, J. Benjamin Hutchinson, Ajay B. Satpute
2022	J	`jnl`	A Variational Perspective on Generative Flow Networks. CoRR Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent, Christian A. Naesseth
2022	J	`jnl`	Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning. CoRR Peyman Bateni, Jarred Barber, Raghav Goyal, Vaden Masrani, Jan-Willem van de Meent, Leonid Sigal, Frank Wood
2022	J	`jnl`	Binding Actions to Objects in World Models. CoRR Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong, Thomas Kipf
2022	—	`conf`	Deriving Time-Averaged Active Inference from Control Principles. IWAI Eli Sennesh, Jordan Theriault, Jan-Willem van de Meent, Lisa Feldman Barrett, Karen S. Quigley
2022	J	`jnl`	Deriving time-averaged active inference from control principles. CoRR Eli Sennesh, Jordan Theriault, Jan-Willem van de Meent, Lisa Feldman Barrett, Karen S. Quigley
2022	A	`conf`	Enhancing Few-Shot Image Classification with Unlabelled Examples. WACV Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood
2022	J	`jnl`	Factored World Models for Zero-Shot Generalization in Robotic Manipulation. CoRR Ondrej Biza, Thomas Kipf, David Klee, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
2022	A*	`conf`	Learning Symmetric Embeddings for Equivariant World Models. ICML Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters
2022	J	`jnl`	Learning Symmetric Embeddings for Equivariant World Models. CoRR Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters
2022	J	`jnl`	Probabilistic program inference in network-based epidemiological simulations. PLoS Comput. Biol. Niklas Smedemark-Margulies, Robin Walters, Heiko Zimmermann, Lucas Laird, Christian van der Loo, Neela Kaushik, Rajmonda Caceres, Jan-Willem van de Meent
2022	A*	`conf`	That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. EMNLP Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2022	J	`jnl`	That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. CoRR Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2022	J	`jnl`	Verified Reversible Programming for Verified Lossless Compression. CoRR James Townsend, Jan-Willem van de Meent
2021	A	`conf`	Action Priors for Large Action Spaces in Robotics. AAMAS Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
2021	J	`jnl`	Action Priors for Large Action Spaces in Robotics. CoRR Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
2021	A*	`conf`	Conjugate Energy-Based Models. ICML Hao Wu, Babak Esmaeili, Michael L. Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent
2021	J	`jnl`	Conjugate Energy-Based Models. CoRR Hao Wu, Babak Esmaeili, Michael L. Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent
2021	—	`conf`	Disentangling Representations of Text by Masking Transformers. EMNLP (1) Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace
2021	J	`jnl`	Disentangling Representations of Text by Masking Transformers. CoRR Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace
2021	J	`jnl`	Generator Surgery for Compressed Sensing. CoRR Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand
2021	—	`conf`	Guiding Generative Graph Grammars of Dungeon Mission Graphs via Examples. AIIDE Workshops Abdelrahman Madkour, Stacy Marsella, Casper Harteveld, Magy Seif El-Nasr, Jan-Willem van de Meent
2021	J	`jnl`	Learning Proposals for Probabilistic Programs with Inference Combinators. CoRR Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent
2021	A	`conf`	Learning proposals for probabilistic programs with inference combinators. UAI Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent
2021	A*	`conf`	Nested Variational Inference. NeurIPS Heiko Zimmermann, Hao Wu, Babak Esmaeili, Jan-Willem van de Meent
2021	J	`jnl`	Nested Variational Inference. CoRR Heiko Zimmermann, Hao Wu, Babak Esmaeili, Jan-Willem van de Meent
2021	—	`conf`	On the Impact of Random Seeds on the Fairness of Clinical Classifiers. NAACL-HLT Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace
2021	J	`jnl`	On the Impact of Random Seeds on the Fairness of Clinical Classifiers. CoRR Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace
2021	A	`conf`	Rate-Regularization and Generalization in Variational Autoencoders. AISTATS Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
2020	A*	`conf`	Amortized Population Gibbs Samplers with Neural Sufficient Statistics. ICML Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent
2020	J	`jnl`	Deep Markov Spatio-Temporal Factorization. CoRR Amirreza Farnoosh, Behnaz Rezaei, Eli Zachary Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent, Sarah Ostadabbas
2020	J	`jnl`	Improving Few-Shot Visual Classification with Unlabelled Examples. CoRR Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood
2020	J	`jnl`	Learning discrete state abstractions with deep variational inference. CoRR Ondrej Biza, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
2020	A*	`conf`	Neural Topographic Factor Analysis for fMRI Data. NeurIPS Eli Sennesh, Zulqarnain Khan, Yiyu Wang, J. Benjamin Hutchinson, Ajay B. Satpute, Jennifer G. Dy, Jan-Willem van de Meent
2020	—	`conf`	Query-Focused EHR Summarization to Aid Imaging Diagnosis. MLHC Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2020	J	`jnl`	Query-Focused EHR Summarization to Aid Imaging Diagnosis. CoRR Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2019	J	`jnl`	Amortized Population Gibbs Samplers with Neural Sufficient Statistics. CoRR Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent
2019	J	`jnl`	Evaluating Combinatorial Generalization in Variational Autoencoders. CoRR Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
2019	J	`jnl`	Neural Topographic Factor Analysis for fMRI Data. CoRR Eli Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent
2019	A	`conf`	Structured Disentangled Representations. AISTATS Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
2019	A	`conf`	Structured Neural Topic Models for Reviews. AISTATS Babak Esmaeili, Hongyi Huang, Byron C. Wallace, Jan-Willem van de Meent
2018	J	`jnl`	An Introduction to Probabilistic Programming. CoRR Jan-Willem van de Meent, Brooks Paige, Hongseok Yang, Frank Wood
2018	J	`jnl`	Can VAEs Generate Novel Examples? CoRR Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
2018	J	`jnl`	Composing Modeling and Inference Operations with Probabilistic Program Combinators. CoRR Eli Sennesh, Adam Scibior, Hao Wu, Jan-Willem van de Meent
2018	J	`jnl`	Hierarchical Disentangled Representations. CoRR Babak Esmaeili, Hao Wu, Sarthak Jain, N. Siddharth, Brooks Paige, Jan-Willem van de Meent
2018	A*	`conf`	Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. EMNLP Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace
2018	J	`jnl`	Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. CoRR Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace
2018	J	`jnl`	Modeling Theory of Mind for Autonomous Agents with Probabilistic Programs. CoRR Iris Rubi Seaman, Jan-Willem van de Meent, David Wingate
2018	J	`jnl`	On Exploration, Exploitation and Learning in Adaptive Importance Sampling. CoRR Xiaoyu Lu, Tom Rainforth, Yuan Zhou, Jan-Willem van de Meent, Yee Whye Teh
2018	J	`jnl`	Structured Representations for Reviews: Aspect-Based Variational Hidden Factor Models. CoRR Babak Esmaeili, Hongyi Huang, Byron C. Wallace, Jan-Willem van de Meent
2017	J	`jnl`	Bayesian Optimization for Probabilistic Programs. CoRR Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent, Michael A. Osborne, Frank D. Wood
2017	—	`conf`	Learning Disentangled Representations with Semi-Supervised Deep Generative Models. NIPS Siddharth Narayanaswamy, Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Noah D. Goodman, Pushmeet Kohli, Frank D. Wood, Philip H. S. Torr
2017	J	`jnl`	Learning Disentangled Representations with Semi-Supervised Deep Generative Models. CoRR N. Siddharth, Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Frank D. Wood, Noah D. Goodman, Pushmeet Kohli, Philip H. S. Torr
2016	—	`conf`	Bayesian Optimization for Probabilistic Programs. NIPS Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent, Michael A. Osborne, Frank D. Wood
2016	A	`conf`	Black-Box Policy Search with Probabilistic Programs. AISTATS Jan-Willem van de Meent, Brooks Paige, David Tolpin, Frank D. Wood
2016	—	`conf`	Design and Implementation of Probabilistic Programming Language Anglican. IFL David Tolpin, Jan-Willem van de Meent, Hongseok Yang, Frank D. Wood
2016	J	`jnl`	Design and Implementation of Probabilistic Programming Language Anglican. CoRR David Tolpin, Jan-Willem van de Meent, Hongseok Yang, Frank D. Wood
2016	J	`jnl`	Inducing Interpretable Representations with Variational Autoencoders. CoRR N. Siddharth, Brooks Paige, Alban Desmaison, Jan-Willem van de Meent, Frank D. Wood, Noah D. Goodman, Pushmeet Kohli, Philip H. S. Torr
2016	A*	`conf`	Interacting Particle Markov Chain Monte Carlo. ICML Tom Rainforth, Christian A. Naesseth, Fredrik Lindsten, Brooks Paige, Jan-Willem van de Meent, Arnaud Doucet, Frank D. Wood
2016	J	`jnl`	Probabilistic structure discovery in time series data. CoRR David Janz, Brooks Paige, Tom Rainforth, Jan-Willem van de Meent, Frank D. Wood
2015	J	`jnl`	A New Approach to Probabilistic Programming Inference. CoRR Frank D. Wood, Jan-Willem van de Meent, Vikash Mansinghka
2015	J	`jnl`	Adaptive Scheduling in MCMC and Probabilistic Programming. CoRR David Tolpin, Jan-Willem van de Meent, Brooks Paige, Frank D. Wood
2015	J	`jnl`	Black-Box Policy Search with Probabilistic Programs. CoRR Jan-Willem van de Meent, David Tolpin, Brooks Paige, Frank D. Wood
2015	—	`conf`	Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs. ECML/PKDD (2) David Tolpin, Jan-Willem van de Meent, Brooks Paige, Frank D. Wood
2015	A	`conf`	Particle Gibbs with Ancestor Sampling for Probabilistic Programs. AISTATS Jan-Willem van de Meent, Hongseok Yang, Vikash Mansinghka, Frank D. Wood
2015	J	`jnl`	Particle Gibbs with Ancestor Sampling for Probabilistic Programs. CoRR Jan-Willem van de Meent, Hongseok Yang, Vikash Mansinghka, Frank D. Wood
2015	—	`conf`	Probabilistic Programming in Anglican. ECML/PKDD (3) David Tolpin, Jan-Willem van de Meent, Frank D. Wood
2015	J	`jnl`	Single-molecule dataset (SMD): a generalized storage format for raw and processed single-molecule data. BMC Bioinform. Max Greenfeld, Jan-Willem van de Meent, Dmitri S. Pavlichin, Hideo Mabuchi, Chris H. Wiggins, Ruben L. Gonzalez, Daniel Herschlag
2014	A	`conf`	A New Approach to Probabilistic Programming Inference. AISTATS Frank D. Wood, Jan-Willem van de Meent, Vikash Mansinghka
2013	—	`conf`	Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data. ICML (2) Jan-Willem van de Meent, Jonathan E. Bronson, Frank D. Wood, Ruben L. Gonzalez, Chris Wiggins