Publications

See also my Google Scholar profile.

Modelling Variability in Human Annotator Simulation
ACL 2024
Wen Wu*, Wenlin Chen*, Chao Zhang, Philip C. Woodland
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ReLU Characteristic Activation Analysis
HiLD Workshop at ICML 2024
Wenlin Chen, Hong Ge
PDF Cite Code OpenReview arXiv
Diffusive Gibbs Sampling
ICML 2024
Wenlin Chen*, Mingtian Zhang*, Brooks Paige, José Miguel Hernández-Lobato, David Barber
PDF Cite Code OpenReview arXiv
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
arXiv preprint 2310.00486
Wen Wu*, Wenlin Chen*, Chao Zhang, Philip C. Woodland
PDF Cite Code arXiv
Leveraging Task Structures for Improved Identifiability in Neural Network Representations
SCIS Workshop at ICML 2023
Wenlin Chen*, Julien Horwood*, Juyeon Heo, José Miguel Hernández-Lobato
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Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
ICLR 2023
Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato
PDF Cite Code Slides OpenReview arXiv
Optimal Client Sampling for Federated Learning
TMLR 2022
Wenlin Chen, Samuel Horváth, Peter Richtárik
PDF Cite Code Video OpenReview arXiv
An Evaluation Framework for the Objective Functions of De Novo Drug Design Benchmarks
MLDD Workshop at ICLR 2022
Austin Tripp, Wenlin Chen, José Miguel Hernández-Lobato
PDF Cite OpenReview
Causal Representation Learning for Latent Space Optimization
MPhil Thesis, University of Cambridge
Wenlin Chen
PDF Cite Cambridge
To Ensemble or Not Ensemble: When Does End-to-End Training Fail?
ECML 2020
Andrew Webb, Charles Reynolds, Wenlin Chen, Henry Reeve, Dan Iliescu, Mikel Luján, Gavin Brown
PDF Cite Code Video Springer Link arXiv