← Authors

Jan-Willem van de Meent

26 papers · 2016–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (8) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (114) πŸ’Ž Century Club (26) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (10)

Conferences

NIPS (8) ICML (6) EMNLP (4) AISTATS (2) NAACL (2) CORL (1) ICLR (1) UAI (1) WACV (1)

Top co-authors

Heiko Zimmermann (6) Byron Wallace (6) Babak Esmaeili (5) Hao Wu (4) Frank Wood (3) Floor Eijkelboom (3) Max Welling (3) Christian A. Naesseth (3) Eli Sennesh (3) Robin Walters (3)

Research topics

Applications (1)

Keywords

variational inference (6) variational autoencoder (4) electronic health record (4) importance sampling (3) disentangled representation (3) representation learning (3) unsupervised learning (2) large language model (2) generative model (2) amortized inference (2) robotic manipulation (1) kl divergence (1) topic modeling (1) bert model (1) medical imaging (1) approximate inference (1) embedding space (1) computational efficiency (1) feature extraction (1) feature learning (1)

Papers

Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems ICML 2025
Exponential Family Variational Flow Matching for Tabular Data Generation ICML 2025
Controlled Generation with Equivariant Variational Flow Matching ICML 2025
Practical Shuffle Coding NIPS 2024
VISA: Variational Inference with Sequential Sample-Average Approximations NIPS 2024
Entropy Coding of Unordered Data Structures ICLR 2024
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction NAACL 2024
Variational Flow Matching for Graph Generation NIPS 2024
One-shot Imitation Learning via Interaction Warping CORL 2023
Topological Obstructions and How to Avoid Them NIPS 2023
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models EMNLP 2023
Enhancing Few-Shot Image Classification With Unlabelled Examples WACV 2022
That’s the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data EMNLP 2022
Learning Symmetric Embeddings for Equivariant World Models ICML 2022
Learning proposals for probabilistic programs with inference combinators UAI 2021
Rate-Regularization and Generalization in Variational Autoencoders AISTATS 2021
Conjugate Energy-Based Models ICML 2021
Nested Variational Inference NIPS 2021
On the Impact of Random Seeds on the Fairness of Clinical Classifiers NAACL 2021
Disentangling Representations of Text by Masking Transformers EMNLP 2021
Neural Topographic Factor Analysis for fMRI Data NIPS 2020
Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020
Structured Neural Topic Models for Reviews AISTATS 2019
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts EMNLP 2018
Learning Disentangled Representations with Semi-Supervised Deep Generative Models NIPS 2017
Bayesian Optimization for Probabilistic Programs NIPS 2016