Jan-Willem van de Meent
27 papers · 2016–2026 · 10 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (51) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
🌈
Renaissance Researcher
(6)
🔥
Unstoppable · Silver
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(141)
Venues
Top co-authors
Research topics
Machine Learning
(22)
Deep Learning
(17)
Artificial Intelligence
(12)
Models
(12)
Core Methods
(9)
Optimization & Theory
(9)
Learning Types · Machine Learning
(8)
Core AI
(6)
Architectures
(5)
Learning Types · Deep Learning
(4)
Mathematics & Optimization
(3)
Bayesian & Probabilistic
(3)
Learning Paradigms
(3)
Computer Science
(2)
Healthcare & Medicine
(2)
Keywords
variational inference
(6)
variational autoencoder
(4)
electronic health record
(4)
representation learning
(3)
importance sampling
(3)
disentangled representation
(3)
ball tree
(2)
large language model
(2)
graphical model
(2)
shuffle coding
(2)
unordered data
(2)
multiset compression
(2)
generative model
(2)
variational flow matching
(2)
unsupervised learning
(2)
amortized inference
(2)
graph compression
(2)
kl divergence
(1)
medical imaging
(1)
approximate inference
(1)
Papers
MSPT: Efficient Large-Scale Physical Modeling via Parallelized Multi-Scale Attention
CVPR 2026
Controlled Generation with Equivariant Variational Flow Matching
ICML 2025
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
ICML 2025
Exponential Family Variational Flow Matching for Tabular Data Generation
ICML 2025
Entropy Coding of Unordered Data Structures
ICLR 2024
Practical Shuffle Coding
NeurIPS 2024
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction
NAACL 2024
Variational Flow Matching for Graph Generation
NeurIPS 2024
VISA: Variational Inference with Sequential Sample-Average Approximations
NeurIPS 2024
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models
EMNLP 2023
One-shot Imitation Learning via Interaction Warping
CoRL 2023
Topological Obstructions and How to Avoid Them
NeurIPS 2023
Enhancing Few-Shot Image Classification With Unlabelled Examples
WACV 2022
Learning Symmetric Embeddings for Equivariant World Models
ICML 2022
That’s the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data
EMNLP 2022
Conjugate Energy-Based Models
ICML 2021
Disentangling Representations of Text by Masking Transformers
EMNLP 2021
Learning proposals for probabilistic programs with inference combinators
UAI 2021
Nested Variational Inference
NeurIPS 2021
On the Impact of Random Seeds on the Fairness of Clinical Classifiers
NAACL 2021
Rate-Regularization and Generalization in Variational Autoencoders
AISTATS 2021
Amortized Population Gibbs Samplers with Neural Sufficient Statistics
ICML 2020
Neural Topographic Factor Analysis for fMRI Data
NeurIPS 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
NeurIPS 2017
Bayesian Optimization for Probabilistic Programs
NeurIPS 2016