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Journal Articles
- 2022
[j1]Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, Subutai Ahmad
:
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments. Frontiers Neurorobotics 16: 846219 (2022)
Conference and Workshop Papers
- 2024
- [c4]Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete:
Resampling-free Particle Filters in High-dimensions. ICRA 2024: 16292-16298 - [c3]Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete:
Towards Exact Computation of Inductive Bias. IJCAI 2024: 3733-3741 - 2021
- [c2]Albert Chern, Xiang Wang, Abhiram Iyer, Yorie Nakahira:
Safe Control in the Presence of Stochastic Uncertainties. CDC 2021: 6640-6645 - [c1]Vincent Monardo, Abhiram Iyer, Sean Donegan, Marc De Graef, Yuejie Chi:
Plug-And-Play Image Reconstruction Meets Stochastic Variance-Reduced Gradient Methods. ICIP 2021: 2868-2872
Informal and Other Publications
- 2024
- [i6]Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete:
Resampling-free Particle Filters in High-dimensions. CoRR abs/2404.13698 (2024) - [i5]Sunny Duan, Mikail Khona, Abhiram Iyer, Rylan Schaeffer, Ila R. Fiete:
Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Large Language Models. CoRR abs/2406.14549 (2024) - [i4]Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete:
Towards Exact Computation of Inductive Bias. CoRR abs/2406.15941 (2024) - [i3]Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete:
Breaking Neural Network Scaling Laws with Modularity. CoRR abs/2409.05780 (2024) - 2022
- [i2]Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, Subutai Ahmad:
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments. CoRR abs/2201.00042 (2022) - 2020
- [i1]Abhiram Iyer, Aravind Mahadevan:
Collision Avoidance Robotics Via Meta-Learning (CARML). CoRR abs/2007.08616 (2020)
Coauthor Index
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