Publications

See also my Google Scholar profile for a complete list of papers.

Training Neural Samplers with Reverse Diffusive KL Divergence
Jiajun He*, Wenlin Chen*, Mingtian Zhang*, David Barber, José Miguel Hernández-Lobato
AISTATS 2025
PDF Cite Code arXiv
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
Wenlin Chen, Hong Ge
NeurIPS 2024
PDF Cite Code OpenReview arXiv
Your Image is Secretly the Last Frame of a Pseudo Video
Wenlong Chen*, Wenlin Chen*, Lapo Rastrelli, Yingzhen Li
arXiv preprint 2410.20158
PDF Cite arXiv
Leveraging Task Structures for Improved Identifiability in Neural Network Representations
Wenlin Chen*, Julien Horwood*, Juyeon Heo, José Miguel Hernández-Lobato
TMLR 2024
PDF Cite Code OpenReview arXiv
Modelling Variability in Human Annotator Simulation
Wen Wu*, Wenlin Chen*, Chao Zhang, Philip C. Woodland
ACL 2024
PDF Cite Code ACL Anthology arXiv
Diffusive Gibbs Sampling
Wenlin Chen*, Mingtian Zhang*, Brooks Paige, José Miguel Hernández-Lobato, David Barber
ICML 2024
PDF Cite Code Poster PMLR arXiv
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
Wen Wu*, Wenlin Chen*, Chao Zhang, Philip C. Woodland
arXiv preprint 2310.00486
PDF Cite Code arXiv
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato
ICLR 2023
PDF Cite Code Slides OpenReview arXiv
Optimal Client Sampling for Federated Learning
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
Austin Tripp, Wenlin Chen, José Miguel Hernández-Lobato
MLDD Workshop at ICLR 2022
PDF Cite OpenReview
Causal Representation Learning for Latent Space Optimization
Wenlin Chen
MPhil Thesis, University of Cambridge
PDF Cite Cambridge
To Ensemble or Not Ensemble: When Does End-to-End Training Fail?
Andrew Webb, Charles Reynolds, Wenlin Chen, Henry Reeve, Dan Iliescu, Mikel Luján, Gavin Brown
ECML 2020
PDF Cite Code Video Springer Link arXiv