Abhiram Iyer

According to our database, Abhiram Iyer authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

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 Fiete

CoRR, 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

Towards Exact Computation of Inductive Bias.

Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Resampling-free Particle Filters in High-dimensions.

Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2022

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

2021

Plug-And-Play Image Reconstruction Meets Stochastic Variance-Reduced Gradient Methods.

Vincent Monardo, Abhiram Iyer, Sean Donegan, Marc De Graef, Yuejie Chi

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Safe Control in the Presence of Stochastic Uncertainties.

Albert Chern, Xiang Wang, Abhiram Iyer, Yorie Nakahira

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Collision Avoidance Robotics Via Meta-Learning (CARML).

Abhiram Iyer, Aravind Mahadevan

CoRR, 2020