Jan-Willem van de Meent

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 74

Top Topics

Variational Inference

Reinforcement Learning

Sufficient Statistics

Top Venues

Publications

Floor Eijkelboom, Grigory Bartosh, Christian Andersson Naesseth, Max Welling, Jan-Willem van de Meent
Variational Flow Matching for Graph Generation. CoRR (2024)
Mustafa Mert Çelikok, Frans A. Oliehoek, Jan-Willem van de Meent
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory. CoRR (2024)
Denis Jered McInerney, William Dickinson, Lucy C. Flynn, Andrea Young, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. NAACL-HLT (2024)
Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend
Entropy Coding of Unordered Data Structures. ICLR (2024)
Denis Jered McInerney, William Dickinson, Lucy Flynn, Andrea Young, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. CoRR (2024)
Heiko Zimmermann, Christian A. Naesseth, Jan-Willem van de Meent
VISA: Variational Inference with Sequential Sample-Average Approximations. CoRR (2024)
Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent
Topological Obstructions and How to Avoid Them. NeurIPS (2023)
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
One-shot Imitation Learning via Interaction Warping. CoRL (2023)
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
One-shot Imitation Learning via Interaction Warping. CoRR (2023)
Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent
Topological Obstructions and How to Avoid Them. CoRR (2023)
Eli Sennesh, Jan-Willem van de Meent
String Diagrams with Factorized Densities. CoRR (2023)
Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models. EMNLP (Findings) (2023)
Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models. CoRR (2023)
Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent, Christian A. Naesseth
A Variational Perspective on Generative Flow Networks. Trans. Mach. Learn. Res. 2023 (2023)
Niklas Smedemark-Margulies, Robin Walters, Heiko Zimmermann, Lucas Laird, Christian van der Loo, Neela Kaushik, Rajmonda Caceres, Jan-Willem van de Meent
Probabilistic program inference in network-based epidemiological simulations. PLoS Comput. Biol. 18 (11) (2022)
Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters
Learning Symmetric Embeddings for Equivariant World Models. CoRR (2022)
Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong, Thomas Kipf
Binding Actions to Objects in World Models. CoRR (2022)
Zulqarnain Khan, Yiyu Wang, Eli Sennesh, Jennifer G. Dy, Sarah Ostadabbas, Jan-Willem van de Meent, J. Benjamin Hutchinson, Ajay B. Satpute
A Computational Neural Model for Mapping Degenerate Neural Architectures. Neuroinformatics 20 (4) (2022)
Eli Sennesh, Jordan Theriault, Jan-Willem van de Meent, Lisa Feldman Barrett, Karen S. Quigley
Deriving time-averaged active inference from control principles. CoRR (2022)
Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. CoRR (2022)
Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood
Enhancing Few-Shot Image Classification with Unlabelled Examples. WACV (2022)
Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters
Learning Symmetric Embeddings for Equivariant World Models. ICML (2022)
James Townsend, Jan-Willem van de Meent
Verified Reversible Programming for Verified Lossless Compression. CoRR (2022)
Eli Sennesh, Jordan Theriault, Jan-Willem van de Meent, Lisa Feldman Barrett, Karen S. Quigley
Deriving Time-Averaged Active Inference from Control Principles. IWAI (2022)
Ondrej Biza, Thomas Kipf, David Klee, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
Factored World Models for Zero-Shot Generalization in Robotic Manipulation. CoRR (2022)
Peyman Bateni, Jarred Barber, Raghav Goyal, Vaden Masrani, Jan-Willem van de Meent, Leonid Sigal, Frank Wood
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning. CoRR (2022)
Heiko Zimmermann, Fredrik Lindsten, Jan-Willem van de Meent, Christian A. Naesseth
A Variational Perspective on Generative Flow Networks. CoRR (2022)
Jered Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. EMNLP (2022)
Hao Wu, Babak Esmaeili, Michael L. Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent
Conjugate Energy-Based Models. ICML (2021)
Hao Wu, Babak Esmaeili, Michael L. Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent
Conjugate Energy-Based Models. CoRR (2021)
Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
Action Priors for Large Action Spaces in Robotics. CoRR (2021)
Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
Rate-Regularization and Generalization in Variational Autoencoders. AISTATS (2021)
Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent
Learning proposals for probabilistic programs with inference combinators. UAI (2021)
Heiko Zimmermann, Hao Wu, Babak Esmaeili, Jan-Willem van de Meent
Nested Variational Inference. CoRR (2021)
Abdelrahman Madkour, Stacy Marsella, Casper Harteveld, Magy Seif El-Nasr, Jan-Willem van de Meent
Guiding Generative Graph Grammars of Dungeon Mission Graphs via Examples. AIIDE Workshops (2021)
Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace
Disentangling Representations of Text by Masking Transformers. EMNLP (1) (2021)
Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace
On the Impact of Random Seeds on the Fairness of Clinical Classifiers. CoRR (2021)
Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace
On the Impact of Random Seeds on the Fairness of Clinical Classifiers. NAACL-HLT (2021)
Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace
Disentangling Representations of Text by Masking Transformers. CoRR (2021)
Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand
Generator Surgery for Compressed Sensing. CoRR (2021)
Heiko Zimmermann, Hao Wu, Babak Esmaeili, Jan-Willem van de Meent
Nested Variational Inference. NeurIPS (2021)
Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent
Learning Proposals for Probabilistic Programs with Inference Combinators. CoRR (2021)
Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
Action Priors for Large Action Spaces in Robotics. AAMAS (2021)
Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
Query-Focused EHR Summarization to Aid Imaging Diagnosis. CoRR (2020)
Eli Sennesh, Zulqarnain Khan, Yiyu Wang, J. Benjamin Hutchinson, Ajay B. Satpute, Jennifer G. Dy, Jan-Willem van de Meent
Neural Topographic Factor Analysis for fMRI Data. NeurIPS (2020)
Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
Query-Focused EHR Summarization to Aid Imaging Diagnosis. MLHC (2020)
Ondrej Biza, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
Learning discrete state abstractions with deep variational inference. CoRR (2020)
Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent
Amortized Population Gibbs Samplers with Neural Sufficient Statistics. ICML (2020)
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
Deep Markov Spatio-Temporal Factorization. CoRR (2020)
Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood
Improving Few-Shot Visual Classification with Unlabelled Examples. CoRR (2020)
Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
Structured Disentangled Representations. AISTATS (2019)
Eli Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent
Neural Topographic Factor Analysis for fMRI Data. CoRR (2019)
Babak Esmaeili, Hongyi Huang, Byron C. Wallace, Jan-Willem van de Meent
Structured Neural Topic Models for Reviews. AISTATS (2019)
Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
Evaluating Combinatorial Generalization in Variational Autoencoders. CoRR (2019)
Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent
Amortized Population Gibbs Samplers with Neural Sufficient Statistics. CoRR (2019)
Jan-Willem van de Meent, Brooks Paige, Hongseok Yang, Frank Wood
An Introduction to Probabilistic Programming. CoRR (2018)
Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. EMNLP (2018)
Babak Esmaeili, Hao Wu, Sarthak Jain, N. Siddharth, Brooks Paige, Jan-Willem van de Meent
Hierarchical Disentangled Representations. CoRR (2018)
Iris Rubi Seaman, Jan-Willem van de Meent, David Wingate
Modeling Theory of Mind for Autonomous Agents with Probabilistic Programs. CoRR (2018)
Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
Can VAEs Generate Novel Examples? CoRR (2018)
Xiaoyu Lu, Tom Rainforth, Yuan Zhou, Jan-Willem van de Meent, Yee Whye Teh
On Exploration, Exploitation and Learning in Adaptive Importance Sampling. CoRR (2018)
Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. CoRR (2018)
Eli Sennesh, Adam Scibior, Hao Wu, Jan-Willem van de Meent
Composing Modeling and Inference Operations with Probabilistic Program Combinators. CoRR (2018)
Babak Esmaeili, Hongyi Huang, Byron C. Wallace, Jan-Willem van de Meent
Structured Representations for Reviews: Aspect-Based Variational Hidden Factor Models. CoRR (2018)
N. Siddharth, Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Frank D. Wood, Noah D. Goodman, Pushmeet Kohli, Philip H. S. Torr
Learning Disentangled Representations with Semi-Supervised Deep Generative Models. CoRR (2017)
Siddharth Narayanaswamy, Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Noah D. Goodman, Pushmeet Kohli, Frank D. Wood, Philip H. S. Torr
Learning Disentangled Representations with Semi-Supervised Deep Generative Models. NIPS (2017)
Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent, Michael A. Osborne, Frank D. Wood
Bayesian Optimization for Probabilistic Programs. CoRR (2017)
David Tolpin, Jan-Willem van de Meent, Hongseok Yang, Frank D. Wood
Design and Implementation of Probabilistic Programming Language Anglican. CoRR (2016)
Jan-Willem van de Meent, Brooks Paige, David Tolpin, Frank D. Wood
Black-Box Policy Search with Probabilistic Programs. AISTATS (2016)
David Janz, Brooks Paige, Tom Rainforth, Jan-Willem van de Meent, Frank D. Wood
Probabilistic structure discovery in time series data. CoRR (2016)
Tom Rainforth, Christian A. Naesseth, Fredrik Lindsten, Brooks Paige, Jan-Willem van de Meent, Arnaud Doucet, Frank D. Wood
Interacting Particle Markov Chain Monte Carlo. ICML (2016)
Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent, Michael A. Osborne, Frank D. Wood
Bayesian Optimization for Probabilistic Programs. NIPS (2016)
N. Siddharth, Brooks Paige, Alban Desmaison, Jan-Willem van de Meent, Frank D. Wood, Noah D. Goodman, Pushmeet Kohli, Philip H. S. Torr
Inducing Interpretable Representations with Variational Autoencoders. CoRR (2016)
David Tolpin, Jan-Willem van de Meent, Hongseok Yang, Frank D. Wood
Design and Implementation of Probabilistic Programming Language Anglican. IFL (2016)
David Tolpin, Jan-Willem van de Meent, Brooks Paige, Frank D. Wood
Adaptive Scheduling in MCMC and Probabilistic Programming. CoRR (2015)
Frank D. Wood, Jan-Willem van de Meent, Vikash Mansinghka
A New Approach to Probabilistic Programming Inference. CoRR (2015)
Jan-Willem van de Meent, Hongseok Yang, Vikash Mansinghka, Frank D. Wood
Particle Gibbs with Ancestor Sampling for Probabilistic Programs. AISTATS (2015)
Jan-Willem van de Meent, Hongseok Yang, Vikash Mansinghka, Frank D. Wood
Particle Gibbs with Ancestor Sampling for Probabilistic Programs. CoRR (2015)
Max Greenfeld, Jan-Willem van de Meent, Dmitri S. Pavlichin, Hideo Mabuchi, Chris H. Wiggins, Ruben L. Gonzalez, Daniel Herschlag
Single-molecule dataset (SMD): a generalized storage format for raw and processed single-molecule data. BMC Bioinform. 16 (2015)
David Tolpin, Jan-Willem van de Meent, Brooks Paige, Frank D. Wood
Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs. ECML/PKDD (2) (2015)
David Tolpin, Jan-Willem van de Meent, Frank D. Wood
Probabilistic Programming in Anglican. ECML/PKDD (3) (2015)
Jan-Willem van de Meent, David Tolpin, Brooks Paige, Frank D. Wood
Black-Box Policy Search with Probabilistic Programs. CoRR (2015)
Frank D. Wood, Jan-Willem van de Meent, Vikash Mansinghka
A New Approach to Probabilistic Programming Inference. AISTATS (2014)
Jan-Willem van de Meent, Jonathan E. Bronson, Frank D. Wood, Ruben L. Gonzalez, Chris Wiggins
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data. ICML (2) (2013)