Akhilan Boopathy

25 papers A* 10Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Breaking Neural Network Scaling Laws with Modularity. ICLR Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila R. Fiete
2024	J	`jnl`	Breaking Neural Network Scaling Laws with Modularity. CoRR Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete
2024	J	`jnl`	Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building. Trans. Mach. Learn. Res. Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila R. Fiete
2024	J	`jnl`	ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness after Fine-Tuning. CoRR Jaedong Hwang, Brian Cheung, Zhang-Wei Hong, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
2024	J	`jnl`	Permutation Invariant Learning with High-Dimensional Particle Filters. CoRR Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete
2024	A*	`conf`	Rapid Learning without Catastrophic Forgetting in the Morris Water Maze. ICML Raymond Wang, Jaedong Hwang, Akhilan Boopathy, Ila R. Fiete
2024	A*	`conf`	Resampling-free Particle Filters in High-dimensions. ICRA Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete
2024	J	`jnl`	Resampling-free Particle Filters in High-dimensions. CoRR Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete
2024	A*	`conf`	Towards Exact Computation of Inductive Bias. IJCAI Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete
2024	J	`jnl`	Towards Exact Computation of Inductive Bias. CoRR Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete
2024	J	`jnl`	Unified Neural Network Scaling Laws and Scale-time Equivalence. CoRR Akhilan Boopathy, Ila Fiete
2023	J	`jnl`	Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle. CoRR Rylan Schaeffer, Mikail Khona, Zachary Robertson, Akhilan Boopathy, Kateryna Pistunova, Jason W. Rocks, Ila Rani Fiete, Oluwasanmi Koyejo
2023	A*	`conf`	Model-agnostic Measure of Generalization Difficulty. ICML Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete
2023	J	`jnl`	Model-agnostic Measure of Generalization Difficulty. CoRR Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete
2023	J	`jnl`	Neuro-Inspired Efficient Map Building via Fragmentation and Recall. CoRR Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
2023	J	`jnl`	Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity. CoRR Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
2022	A*	`conf`	How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective. ICML Akhilan Boopathy, Ila Fiete
2021	A*	`conf`	Fast Training of Provably Robust Neural Networks by SingleProp. AAAI Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
2021	J	`jnl`	Fast Training of Provably Robust Neural Networks by SingleProp. CoRR Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
2021	J	`jnl`	Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations. CoRR Akhilan Boopathy, Ila Fiete
2020	A*	`conf`	Proper Network Interpretability Helps Adversarial Robustness in Classification. ICML Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
2020	J	`jnl`	Proper Network Interpretability Helps Adversarial Robustness in Classification. CoRR Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
2019	A*	`conf`	CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. AAAI Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2019	A*	`conf`	PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. ICML Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel
2018	J	`jnl`	CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. CoRR Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel