Mann, Timothy A

13 publications

ICLR 2022 Defending Against Image Corruptions Through Adversarial Augmentations Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, András György, Timothy A Mann, Sven Gowal

NeurIPS 2021 Data Augmentation Can Improve Robustness Sylvestre-Alvise Rebuffi, Sven Gowal, Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Timothy A Mann

NeurIPS 2021 Improving Robustness Using Generated Data Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, Timothy A Mann

IJCAI 2019 A Dual Approach to Verify and Train Deep Networks Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli

NeurIPS 2019 Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates Carlos Riquelme, Hugo Penedones, Damien Vincent, Hartmut Maennel, Sylvain Gelly, Timothy A Mann, Andre Barreto, Gergely Neu

UAI 2018 A Dual Approach to Scalable Verification of Deep Networks Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli

AAAI 2018 Learning Robust Options Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor

UAI 2018 Soft-Robust Actor-Critic Policy-Gradient Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor

IJCAI 2017 Approximate Value Iteration with Temporally Extended Actions (Extended Abstract) Timothy A. Mann, Shie Mannor, Doina Precup

NeurIPS 2016 Adaptive Skills Adaptive Partitions (ASAP) Daniel J Mankowitz, Timothy A Mann, Shie Mannor

JAIR 2015 Approximate Value Iteration with Temporally Extended Actions Timothy A. Mann, Shie Mannor, Doina Precup

NeurIPS 2014 How Hard Is My MDP?" the Distribution-Norm to the Rescue" Odalric-Ambrym Maillard, Timothy A Mann, Shie Mannor

AAAI 2011 Scaling up Reinforcement Learning Through Targeted Exploration Timothy A. Mann, Yoonsuck Choe