Publications & Preprints

See also my Google Scholar profile for an up-to-date list of publications.

(*) indicates equal contribution.

Progressive Tempering Sampler with Diffusion Sampling Diffusion AI for Science
Severi Rissanen*, RuiKang OuYang*, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato
ICML 2025
PDF Cite Code arXiv
Training Neural Samplers with Reverse Diffusive KL Divergence Sampling Diffusion AI for Science
Jiajun He*, Wenlin Chen*, Mingtian Zhang*, David Barber, José Miguel Hernández-Lobato
AISTATS 2025
PDF Cite Code arXiv
Your Image is Secretly the Last Frame of a Pseudo Video Diffusion
Wenlong Chen*, Wenlin Chen*, Lapo Rastrelli, Yingzhen Li
DeLTa Workshop @ ICLR 2025
PDF Cite OpenReview arXiv
Towards Training One-Step Diffusion Models Without Distillation Diffusion
Mingtian Zhang*, Wenlin Chen*, Jiajun He*, Zijing Ou, José Miguel Hernández-Lobato, Bernhard Schölkopf, David Barber
DeLTa Workshop @ ICLR 2025
PDF Cite OpenReview arXiv
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks Optimization
Wenlin Chen, Hong Ge
NeurIPS 2024
PDF Cite Code NeurIPS Proceedings arXiv
Leveraging Task Structures for Improved Identifiability in Neural Network Representations Multi-Task AI for Science
Wenlin Chen*, Julien Horwood*, Juyeon Heo, José Miguel Hernández-Lobato
TMLR 2024
PDF Cite Code OpenReview arXiv
Modelling Variability in Human Annotator Simulation Uncertainty
Wen Wu*, Wenlin Chen*, Chao Zhang, Phil Woodland
ACL 2024
PDF Cite Code ACL Anthology arXiv
Diffusive Gibbs Sampling Sampling Diffusion AI for Science
Wenlin Chen*, Mingtian Zhang*, Brooks Paige, José Miguel Hernández-Lobato, David Barber
ICML 2024
PDF Cite Code PMLR arXiv
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation Uncertainty
Wen Wu*, Wenlin Chen*, Chao Zhang, Philip C. Woodland
Preprint
PDF Cite Code arXiv
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Multi-Task Uncertainty AI for Science
Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato
ICLR 2023
PDF Cite Code OpenReview arXiv
Optimal Client Sampling for Federated Learning Optimization
Wenlin Chen, Samuel Horváth, Peter Richtárik
TMLR 2022
PDF Cite Code Video OpenReview arXiv
An Evaluation Framework for the Objective Functions of De Novo Drug Design Benchmarks AI for Science
Austin Tripp, Wenlin Chen, José Miguel Hernández-Lobato
MLDD Workshop @ ICLR 2022
PDF Cite OpenReview
Causal Representation Learning for Latent Space Optimization Causality AI for Science
Wenlin Chen
MPhil Thesis
PDF Cite Cambridge
To Ensemble or Not Ensemble: When Does End-to-End Training Fail? Optimization
Andrew Webb, Charles Reynolds, Wenlin Chen, Henry Reeve, Dan Iliescu, Mikel Luján, Gavin Brown
ECML 2020
PDF Cite Code Video Springer arXiv