Akhilan Boopathy

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Exact Computation

Top Venues

Publications

Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete
Resampling-free Particle Filters in High-dimensions. ICRA (2024)
Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete
Towards Exact Computation of Inductive Bias. CoRR (2024)
Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete
Resampling-free Particle Filters in High-dimensions. CoRR (2024)
Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila R. Fiete
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building. Trans. Mach. Learn. Res. 2024 (2024)
Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete
Model-agnostic Measure of Generalization Difficulty. CoRR (2023)
Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila R. Fiete
Model-agnostic Measure of Generalization Difficulty. ICML (2023)
Rylan Schaeffer, Mikail Khona, Zachary Robertson, Akhilan Boopathy, Kateryna Pistunova, Jason W. Rocks, Ila Rani Fiete, Oluwasanmi Koyejo
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle. CoRR (2023)
Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity. CoRR (2023)
Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
Neuro-Inspired Efficient Map Building via Fragmentation and Recall. CoRR (2023)
Akhilan Boopathy, Ila Fiete
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective. ICML (2022)
Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
Fast Training of Provably Robust Neural Networks by SingleProp. AAAI (2021)
Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
Fast Training of Provably Robust Neural Networks by SingleProp. CoRR (2021)
Akhilan Boopathy, Ila Fiete
Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations. CoRR (2021)
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
Proper Network Interpretability Helps Adversarial Robustness in Classification. ICML (2020)
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
Proper Network Interpretability Helps Adversarial Robustness in Classification. CoRR (2020)
Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. ICML (2019)
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. AAAI (2019)
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. CoRR (2018)