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Wenlin Chen
Wenlin Chen
University of Cambridge, Max Planck Institute for Intelligent Systems
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Optimal Client Sampling for Federated Learning
W Chen, S Horváth, P Richtárik
Transactions on Machine Learning Research (TMLR), 2022
2032022
To Ensemble or Not Ensemble: When does End-To-End Training Fail?
A Webb, C Reynolds, W Chen, H Reeve, D Iliescu, M Luján, G Brown
European Conference on Machine Learning (ECML), 2020
48*2020
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
W Chen, A Tripp, JM Hernández-Lobato
International Conference on Learning Representations (ICLR), 2023
392023
An Evaluation Framework for the Objective Functions of De Novo Drug Design Benchmarks
A Tripp, W Chen, JM Hernández-Lobato
Machine Learning for Drug Discovery (MLDD) Workshop at ICLR, 2022
72022
Diffusive Gibbs Sampling
W Chen, M Zhang, B Paige, JM Hernández-Lobato, D Barber
International Conference on Machine Learning (ICML), 2024
52024
Training Neural Samplers with Reverse Diffusive KL Divergence
J He, W Chen, M Zhang, D Barber, JM Hernández-Lobato
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
32025
Modelling Variability in Human Annotator Simulation
W Wu, W Chen, C Zhang, PC Woodland
Findings of the Association for Computational Linguistics (ACL), 2024
22024
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
W Wu, W Chen, C Zhang, PC Woodland
arXiv preprint arXiv:2310.00486, 2023
22023
Leveraging Task Structures for Improved Identifiability in Neural Network Representations
W Chen, J Horwood, J Heo, JM Hernández-Lobato
Transactions on Machine Learning Research (TMLR), 2024
12024
Causal Representation Learning for Latent Space Optimization
W Chen
University of Cambridge, 2021
12021
Your Image is Secretly the Last Frame of a Pseudo Video
W Chen, W Chen, L Rastrelli, Y Li
arXiv preprint arXiv:2410.20158, 2024
2024
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
W Chen, H Ge
Advances in Neural Information Processing Systems (NeurIPS), 2024
2024
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Articles 1–12