Tim G. J. Rudner
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Reinforcement Learning in Robotics, Gaussian Processes and Bayesian Inference, Domain Adaptation and Few-Shot Learning, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- The StarCraft Multi-Agent Challenge
- → Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery(2019)114 cited
- → A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks(2019)73 cited
- → Plex: Towards Reliability using Pretrained Large Model Extensions(2022)38 cited
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning(2021)
- VIREL: A Variational Inference Framework for Reinforcement Learning(2019)
- → Protein Design with Guided Discrete Diffusion(2023)18 cited
- → Key Concepts in AI Safety: An Overview(2021)16 cited
- → Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks(2022)15 cited