Publications

See also my Google Scholar profile.

Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
NeurIPS 2024
Wenlin Chen, Hong Ge
PDF Cite Code OpenReview arXiv
Your Image is Secretly the Last Frame of a Pseudo Video
arXiv preprint 2410.20158
Wenlong Chen*, Wenlin Chen*, Lapo Rastrelli, Yingzhen Li
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Training Neural Samplers with Reverse Diffusive KL Divergence
arXiv preprint 2410.12456
Jiajun He*, Wenlin Chen*, Mingtian Zhang*, David Barber, José Miguel Hernández-Lobato
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Leveraging Task Structures for Improved Identifiability in Neural Network Representations
TMLR 2024
Wenlin Chen*, Julien Horwood*, Juyeon Heo, José Miguel Hernández-Lobato
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Modelling Variability in Human Annotator Simulation
ACL 2024
Wen Wu*, Wenlin Chen*, Chao Zhang, Philip C. Woodland
PDF Cite Code ACL Anthology arXiv
Diffusive Gibbs Sampling
ICML 2024
Wenlin Chen*, Mingtian Zhang*, Brooks Paige, José Miguel Hernández-Lobato, David Barber
PDF Cite Code Poster PMLR 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
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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
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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
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Causal Representation Learning for Latent Space Optimization
MPhil Thesis, University of Cambridge
Wenlin Chen
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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
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