About Me

I’m a PhD student in Machine Learning under the Cambridge-Tübingen PhD Fellowship, studying at University of Cambridge and Max Planck Institute for Intelligent Systems. My supervisors are Prof. José Miguel Hernández-Lobato and Prof. Bernhard Schölkopf.

I’m keen on basic research in machine learning and its scientific applications. My research interest lies at the intersection of deep learning and probabilistic modeling. I’m exicted about developing efficient machine learning methods for robust prediction and realistic data generation.

Interests
  • Deep Generative Models
  • Meta-learning
  • Sampling
  • Optimization
  • AI for Science
Education

  • PhD in Machine Learning, 2025

    University of Cambridge

    Max Planck Institute for Intelligent Systems

  • MPhil in Machine Learning and Machine Intelligence, Distinction, 2021

    University of Cambridge

  • BSc (Hons) in Mathematics, First Class Honors, 2020

    University of Manchester

Experience

 
 
 
 
 
University of Cambridge
Doctoral Researcher
University of Cambridge
Oct 2021 – Present Cambridge, England, United Kingdom

Machine Learning Group, Computational and Biological Learning Lab

Deep Learning, Meta-learning, Generative Modeling, Sampling, AI for Science

 
 
 
 
 
Max Planck Institute for Intelligent Systems
Doctoral Researcher
Max Planck Institute for Intelligent Systems
Dec 2021 – Present Tübingen, Baden-Württemberg, Germany

Department of Empirical Inference

Deep Learning, Generative Modeling, Sampling, AI for Science

 
 
 
 
 
Microsoft Research
Research Intern
Microsoft Research
Mar 2024 – Jun 2024 Haidian, Beijing, China

Mircosoft Research AI for Science

Molecular Dynamics and Machine Learning Force Field

 
 
 
 
 
King Abdullah University of Science and Technology
Research Intern
King Abdullah University of Science and Technology
Sep 2020 – Oct 2020 Remote
Federated Learning and Distributed Optimization
 
 
 
 
 
Imagination Technologies
Research Engineer Intern
Imagination Technologies
Jun 2019 – Aug 2019 Kings Langley, England, United Kingdom
Deep Learning on Edge Devices

Selected Publications

See my Google Scholar profile or publication page for a complete list of papers.
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
PDF Cite arXiv
Training Neural Samplers with Reverse Diffusive KL Divergence
arXiv preprint 2410.12456
Jiajun He*, Wenlin Chen*, Mingtian Zhang*, David Barber, José Miguel Hernández-Lobato
PDF Cite Code arXiv
Leveraging Task Structures for Improved Identifiability in Neural Network Representations
TMLR 2024
Wenlin Chen*, Julien Horwood*, Juyeon Heo, José Miguel Hernández-Lobato
PDF Cite Code OpenReview arXiv
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
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
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

Awards

Stars of Tomorrow Award
Microsoft Research Jul 2024
Cambridge University Engineering Department PhD Studentship
University of Cambridge May 2021
Cambridge Trust Scholarship
Cambridge Commonwealth, European and International Trust Apr 2021
Cambridge-Tübingen PhD Fellowship in Machine Learning
Max Planck Institute for Intelligent Systems Feb 2021
The Royal Statistical Society Prize
The Royal Statistical Society Jul 2020
International Mathematics Scholarship
University of Manchester Aug 2019

Contact