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Samuel Pfrommer
Samuel Pfrommer
EECS PhD Student, Berkeley
在 berkeley.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Contactnets: Learning discontinuous contact dynamics with smooth, implicit representations
S Pfrommer, M Halm, M Posa
4th Conference on Robot Learning, 2020
822020
Safe reinforcement learning with chance-constrained model predictive control
S Pfrommer, T Gautam, A Zhou, S Sojoudi
4th Learning for Dynamics and Control Conference, 291-303, 2022
212022
Projected Randomized Smoothing for Certified Adversarial Robustness
S Pfrommer, BG Anderson, S Sojoudi
Transactions on Machine Learning Research, 2023
92023
Asymmetric certified robustness via feature-convex neural networks
S Pfrommer, BG Anderson, J Piet, S Sojoudi
37th Annual Conference on Neural Information Processing Systems, 2023
62023
Discriminability of single-layer graph neural networks
S Pfrommer, A Ribeiro, F Gama
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
62021
Towards Optimal Randomized Smoothing: A Semi-Infinite Linear Programming Approach
BG Anderson, S Pfrommer, S Sojoudi
1st Workshop on Formal Verification of Machine Learning, 2022
52022
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks
BG Anderson, S Pfrommer, S Sojoudi
62st IEEE Conference on Decision and Control, 2023
22023
Initial State Interventions for Deconfounded Imitation Learning
S Pfrommer, Y Bai, H Lee, S Sojoudi
62st IEEE Conference on Decision and Control, 2023
12023
LQR Control with Sparse Adversarial Disturbances
S Pfrommer, S Sojoudi
61st IEEE Conference on Decision and Control, 2022
12022
Approximately Gaussian Replicator Flows: Nonconvex Optimization as a Nash-Convergent Evolutionary Game
BG Anderson, S Pfrommer, S Sojoudi
arXiv preprint arXiv:2406.19529, 2024
2024
Ranking Manipulation for Conversational Search Engines
S Pfrommer, Y Bai, T Gautam, S Sojoudi
arXiv preprint arXiv:2406.03589, 2024
2024
Transport of Algebraic Structure to Latent Embeddings
S Pfrommer, BG Anderson, S Sojoudi
International Conference on Machine Learning 2024, 2024
2024
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization
T Gautam, S Pfrommer, S Sojoudi
62st IEEE Conference on Decision and Control, 2023
2023
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