ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations. - Samuel Pfrommer; Mathew Halm; Michael Posa (CoRL, 2020)

Discriminability of Single-Layer Graph Neural Networks. - Samuel Pfrommer; Alejandro Ribeiro; Fernando Gama (ICASSP, 2021)

LQR Control with Sparse Adversarial Disturbances. - Samuel Pfrommer; Somayeh Sojoudi (CDC, 2022)

Safe Reinforcement Learning with Chance-constrained Model Predictive Control. - Samuel Pfrommer; Tanmay Gautam; Alec Zhou; Somayeh Sojoudi (L4DC, 2022)

Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks. - Brendon G. Anderson; Samuel Pfrommer; Somayeh Sojoudi (CDC, 2023)

Meta-Learning Parameterized First-Order Optimizers Using Differentiable Convex Optimization. - Tanmay Gautam; Samuel Pfrommer; Somayeh Sojoudi (CDC, 2023)

Initial State Interventions for Deconfounded Imitation Learning. - Samuel Pfrommer; Yatong Bai; Hyunin Lee; Somayeh Sojoudi (CDC, 2023)

Asymmetric Certified Robustness via Feature-Convex Neural Networks. - Samuel Pfrommer; Brendon G. Anderson; Julien Piet; Somayeh Sojoudi (NeurIPS, 2023)

Projected Randomized Smoothing for Certified Adversarial Robustness. - Samuel Pfrommer; Brendon G. Anderson; Somayeh Sojoudi (Trans. Mach. Learn. Res., 2023)

Approximately Gaussian Replicator Flows: Nonconvex Optimization as a Nash-Convergent Evolutionary Game. - Brendon G. Anderson; Samuel Pfrommer; Somayeh Sojoudi (CDC, 2024)

Ranking Manipulation for Conversational Search Engines. - Samuel Pfrommer; Yatong Bai; Tanmay Gautam; Somayeh Sojoudi (EMNLP, 2024)

Transport of Algebraic Structure to Latent Embeddings. - Samuel Pfrommer; Brendon G. Anderson; Somayeh Sojoudi (ICML, 2024)

Spooky Action at a Distance: Normalization Layers Enable Side-Channel Spatial Communication. - Samuel Pfrommer; George Ma; Yixiao Huang 004; Somayeh Sojoudi (CoRR, 2025)

Reinforcement Learning for Flow-Matching Policies. - Samuel Pfrommer; Yixiao Huang 004; Somayeh Sojoudi (CoRR, 2025)