Samuel Pfrommer

According to our database, Samuel Pfrommer authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Transport of Algebraic Structure to Latent Embeddings.

Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Ranking Manipulation for Conversational Search Engines.

Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Projected Randomized Smoothing for Certified Adversarial Robustness.

Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi

Trans. Mach. Learn. Res., 2023

Asymmetric Certified Robustness via Feature-Convex Neural Networks.

Samuel Pfrommer, Brendon G. Anderson, Julien Piet, Somayeh Sojoudi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Initial State Interventions for Deconfounded Imitation Learning.

Samuel Pfrommer, Yatong Bai, Hyunin Lee, Somayeh Sojoudi

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Meta-Learning Parameterized First-Order Optimizers Using Differentiable Convex Optimization.

Tanmay Gautam, Samuel Pfrommer, Somayeh Sojoudi

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks.

Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Safe Reinforcement Learning with Chance-constrained Model Predictive Control.

Samuel Pfrommer, Tanmay Gautam, Alec Zhou, Somayeh Sojoudi

Proceedings of the Learning for Dynamics and Control Conference, 2022

LQR Control with Sparse Adversarial Disturbances.

Samuel Pfrommer, Somayeh Sojoudi

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Discriminability of Single-Layer Graph Neural Networks.

Samuel Pfrommer, Alejandro Ribeiro, Fernando Gama

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations.

Samuel Pfrommer, Mathew Halm, Michael Posa

Proceedings of the 4th Conference on Robot Learning, 2020