Timothy Mann

Wayne State University — United States

Computer Science · Physical Sciences

17h-index1.7kcitations74works0.02yr avg
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Research Topics

Reinforcement Learning in Robotics(31), Adversarial Robustness in Machine Learning(20), Machine Learning and Algorithms(12), Advanced Bandit Algorithms Research(10), Anomaly Detection Techniques and Applications(7)

Publications74 total

The impact of a focused behavioral intervention on brain cannabinoid signaling and interoceptive function: Implications for mood and anxiety
Brain Behavior and Immunity Integrative·2023· 3 citedOpen Access
MuZero with Self-competition for Rate Control in VP9 Video Compression
arXiv (Cornell University)·2022· 13 citedOpen Access
Data Augmentation Can Improve Robustness
arXiv (Cornell University)·2021· 13 citedOpen Access
Improving Robustness using Generated Data
arXiv (Cornell University)·2021· 4 citedOpen Access
Self-supervised Adversarial Robustness for the Low-label, High-data Regime
2021· 8 cited
Defending Against Image Corruptions Through Adversarial Augmentations
arXiv (Cornell University)·2021· 4 citedOpen Access
Fixing Data Augmentation to Improve Adversarial Robustness
arXiv (Cornell University)·2021· 104 citedOpen Access
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification
arXiv (Cornell University)·2020· 4 citedOpen Access
Balancing Constraints and Rewards with Meta-Gradient D4PG
arXiv (Cornell University)·2020· 6 citedOpen Access
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
arXiv (Cornell University)·2020· 144 citedOpen Access
The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver
2020· 1 citedOpen Access
Non-Stationary Bandits with Intermediate Observations
International Conference on Machine Learning·2020
Non-Stationary Delayed Bandits with Intermediate Observations
arXiv (Cornell University)·2020· 2 citedOpen Access
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations
2020· 16 citedOpen Access
Robust Reinforcement Learning for Continuous Control with Model Misspecification
arXiv (Cornell University)·2020· 6 citedOpen Access
Achieving Robustness in the Wild via Adversarial Mixing with\n Disentangled Representations
arXiv (Cornell University)·2019Open Access
An Alternative Surrogate Loss for PGD-based Adversarial Testing
arXiv (Cornell University)·2019· 52 citedOpen Access
Scalable Verified Training for Provably Robust Image Classification
2019· 137 cited
A Dual Approach to Verify and Train Deep Networks
2019· 9 citedOpen Access
Active Roll-outs in MDP with Irreversible Dynamics
HAL (Le Centre pour la Communication Scientifique Directe)·2019Open Access
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Frequent Co-authors

Shie Mannor(17), Daniel J. Mankowitz(17), Sven Gowal(15), Pushmeet Kohli(8), Dan A. Calian(6), Yoonsuck Choe(6), Chongli Qin(5), Hugo Penedones(5), Krishnamurthy Dvijotham(4), Robert Stanforth(4), Jonathan Uesato(4), Sylvestre-Alvise Rebuffi(4), Florian Stimberg(4), Olivia Wiles(4), Esther Derman(4), Damien Vincent(4), Hartmut Maennel(4), Sylvain Gelly(4), Po-Sen Huang(3), Nir Levine(3)