Scholar
Wenlin Chen
Google Scholar ID: A4zbE2IAAAAJ
University of Cambridge, Max Planck Institute for Intelligent Systems
Citations & Impact
Citations
416
H-index
7
i10-index
5
Publications
15
Co-authors
24
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Progressive Tempering Sampler with Diffusion, ICML 2025
- Training Neural Samplers with Reverse Diffusive KL Divergence, AISTATS 2025
- Towards Training One-Step Diffusion Models Without Distillation, DeLTa Workshop @ ICLR 2025
- Your Image is Secretly the Last Frame of a Pseudo Video, DeLTa Workshop @ ICLR 2025
- Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks, NeurIPS 2024
- Modelling Variability in Human Annotator Simulation, ACL 2024
- Diffusive Gibbs Sampling, ICML 2024
- Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction, ICLR 2023
- Optimal Client Sampling for Federated Learning, TMLR 2022
- To Ensemble or Not Ensemble: When Does End-to-End Training Fail?, ECML 2020
Background
- Research Scientist at Bosch Research (Center for Artificial Intelligence)
- Based in the Tsinghua-Bosch Joint Research Center on Machine Learning
- Collaborating with Prof. Jun Zhu’s Research Group at Tsinghua University
- Interested in core machine learning research and its applications in the physical world
- Current research focuses on video generation and world modeling using diffusion and autoregressive models for autonomous driving and embodied AI
