Collision Avoidance Robotics Via Meta-Learning (CARML). - Abhiram Iyer; Aravind Mahadevan (CoRR, 2020)

Safe Control in the Presence of Stochastic Uncertainties. - Albert Chern; Xiang Wang; Abhiram Iyer; Yorie Nakahira (CDC, 2021)

Plug-And-Play Image Reconstruction Meets Stochastic Variance-Reduced Gradient Methods. - Vincent Monardo; Abhiram Iyer; Sean Donegan; Marc De Graef; Yuejie Chi (ICIP, 2021)

Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments. - Abhiram Iyer; Karan Grewal; Akash Velu; Lucas Oliveira Souza; Jeremy Forest; Subutai Ahmad (Frontiers Neurorobotics, 2022)

Resampling-free Particle Filters in High-dimensions. - Akhilan Boopathy; Aneesh Muppidi; Peggy Yang; Abhiram Iyer; William Yue; Ila Fiete (ICRA, 2024)

Towards Exact Computation of Inductive Bias. - Akhilan Boopathy; William Yue; Jaedong Hwang; Abhiram Iyer; Ila Fiete (IJCAI, 2024)

Flexible Context-Driven Sensory Processing in Dynamical Vision Models. - Lakshmi Narasimhan Govindarajan; Abhiram Iyer; Valmiki Kothare; Ila Fiete (NeurIPS, 2024)

Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals. - Abhiram Iyer; Sarthak Chandra; Sugandha Sharma; Ila Fiete (NeurIPS, 2024)

Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Large Language Models. - Sunny Duan; Mikail Khona; Abhiram Iyer; Rylan Schaeffer; Ila R. Fiete (CoRR, 2024)

Permutation Invariant Learning with High-Dimensional Particle Filters. - Akhilan Boopathy; Aneesh Muppidi; Peggy Yang; Abhiram Iyer; William Yue; Ila Fiete (CoRR, 2024)

Breaking Neural Network Scaling Laws with Modularity. - Akhilan Boopathy; Sunshine Jiang; William Yue; Jaedong Hwang; Abhiram Iyer; Ila R. Fiete (ICLR, 2025)

Uncovering Latent Memories in Large Language Models. - Sunny Duan; Mikail Khona; Abhiram Iyer; Rylan Schaeffer; Ila R. Fiete (ICLR, 2025)