Jan-Willem van de Meent
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
9
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems. | Maksim Zhdanov, Max Welling, Jan-Willem van de Meent |
| 2025 | ICML | Controlled Generation with Equivariant Variational Flow Matching. | Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama, Erik J. Bekkers, Max Welling, Christian A. Naesseth, Jan-Willem van de Meent |
| 2025 | ICML | Exponential Family Variational Flow Matching for Tabular Data Generation. | Andrs Guzmn-Cordero, Floor Eijkelboom, Jan-Willem van de Meent |
| 2025 | ICRA | On-Robot Reinforcement Learning with Goal-Contrastive Rewards. | 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 | ICLR | Entropy Coding of Unordered Data Structures. | Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend |
| 2024 | NAACL | Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. | Denis Jered McInerney, William Dickinson, Lucy C. Flynn, Andrea Young, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace |
| 2023 | CoRL | One-shot Imitation Learning via Interaction Warping. | 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 | EMNLP | CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models. | Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace |
| 2022 | EMNLP | That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. | Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace |
| 2022 | ICML | Learning Symmetric Embeddings for Equivariant World Models. | Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters |
| 2022 | WACV | Enhancing Few-Shot Image Classification with Unlabelled Examples. | Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood |
| 2021 | AISTATS | Rate-Regularization and Generalization in Variational Autoencoders. | Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent |
| 2021 | EMNLP | Disentangling Representations of Text by Masking Transformers. | Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace |
| 2021 | ICML | Conjugate Energy-Based Models. | Hao Wu, Babak Esmaeili, Michael L. Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent |
| 2021 | NAACL | On the Impact of Random Seeds on the Fairness of Clinical Classifiers. | Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace |
| 2021 | UAI | Learning proposals for probabilistic programs with inference combinators. | Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent |
| 2020 | ICML | Amortized Population Gibbs Samplers with Neural Sufficient Statistics. | Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent |
| 2019 | AISTATS | Structured Disentangled Representations. | Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent |
| 2019 | AISTATS | Structured Neural Topic Models for Reviews. | Babak Esmaeili, Hongyi Huang, Byron C. Wallace, Jan-Willem van de Meent |
| 2018 | EMNLP | Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. | Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace |
| 2016 | AISTATS | Black-Box Policy Search with Probabilistic Programs. | Jan-Willem van de Meent, Brooks Paige, David Tolpin, Frank D. Wood |
| 2016 | ICML | Interacting Particle Markov Chain Monte Carlo. | Tom Rainforth, Christian A. Naesseth, Fredrik Lindsten, Brooks Paige, Jan-Willem van de Meent, Arnaud Doucet, Frank D. Wood |
| 2015 | AISTATS | Particle Gibbs with Ancestor Sampling for Probabilistic Programs. | Jan-Willem van de Meent, Hongseok Yang, Vikash Mansinghka, Frank D. Wood |
| 2014 | AISTATS | A New Approach to Probabilistic Programming Inference. | Frank D. Wood, Jan-Willem van de Meent, Vikash Mansinghka |
| 2013 | ICML | Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data. | Jan-Willem van de Meent, Jonathan E. Bronson, Frank D. Wood, Ruben L. Gonzalez, Chris Wiggins |