Boopathy, Akhilan

15 publications

ICLR 2025 Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila R Fiete
TMLR 2024 Grid Cell-Inspired Fragmentation and Recall for Efficient mAP Building Jaedong Hwang, Zhang-Wei Hong, Eric R Chen, Akhilan Boopathy, Pulkit Agrawal, Ila R Fiete
NeurIPSW 2024 Grid Cell-Inspired Fragmentation and Recall for Efficient mAP Building Jaedong Hwang, Zhang-Wei Hong, Eric R Chen, Akhilan Boopathy, Pulkit Agrawal, Ila R Fiete
NeurIPSW 2024 ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness After Fine-Tuning Jaedong Hwang, Brian Cheung, Zhang-Wei Hong, Akhilan Boopathy, Pulkit Agrawal, Ila R Fiete
ICML 2024 Rapid Learning Without Catastrophic Forgetting in the Morris Water Maze Raymond Wang, Jaedong Hwang, Akhilan Boopathy, Ila R Fiete
IJCAI 2024 Towards Exact Computation of Inductive Bias Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete
NeurIPSW 2023 Divergence at the Interpolation Threshold: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle Rylan Schaeffer, Zachary Robertson, Akhilan Boopathy, Mikail Khona, Ila Fiete, Andrey Gromov, Sanmi Koyejo
ICML 2023 Model-Agnostic Measure of Generalization Difficulty Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila R Fiete
NeurIPSW 2023 Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
NeurIPSW 2023 Rapid Learning Without Catastrophic Forgetting in the Morris Water Maze Raymond Wang, Jaedong Hwang, Akhilan Boopathy, Ila R Fiete
ICML 2022 How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective Akhilan Boopathy, Ila Fiete
AAAI 2021 Fast Training of Provably Robust Neural Networks by SingleProp Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
ICML 2020 Proper Network Interpretability Helps Adversarial Robustness in Classification Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
AAAI 2019 CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
ICML 2019 PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach Lily Weng, Pin-Yu Chen, Lam Nguyen, Mark Squillante, Akhilan Boopathy, Ivan Oseledets, Luca Daniel