| Contactnets: Learning discontinuous contact dynamics with smooth, implicit representations S Pfrommer, M Halm, M Posa 4th Conference on Robot Learning, 2020 | 74 | 2020 |
| 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 | 17 | 2022 |
| Projected Randomized Smoothing for Certified Adversarial Robustness S Pfrommer, BG Anderson, S Sojoudi Transactions on Machine Learning Research, 2023 | 6 | 2023 |
| Discriminability of single-layer graph neural networks S Pfrommer, A Ribeiro, F Gama IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021 | 6 | 2021 |
| 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 | 4 | 2023 |
| 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 | 4 | 2022 |
| Initial State Interventions for Deconfounded Imitation Learning S Pfrommer, Y Bai, H Lee, S Sojoudi 62st IEEE Conference on Decision and Control, 2023 | 1 | 2023 |
| 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 | 1 | 2023 |
| LQR Control with Sparse Adversarial Disturbances S Pfrommer, S Sojoudi 61st IEEE Conference on Decision and Control, 2022 | 1 | 2022 |
| 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 |
| Approximately Gaussian Replicator Flows: Nonconvex Optimization as a Nash-Convergent Evolutionary Game BG Anderson, S Pfrommer, S Sojoudi | | |
| Transport of Algebraic Structure to Latent Embeddings S Pfrommer, BG Anderson, S Sojoudi | | |
