Akhilan Boopathy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Breaking Neural Network Scaling Laws with Modularity. | Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila R. Fiete |
| 2024 | ICML | Rapid Learning without Catastrophic Forgetting in the Morris Water Maze. | Raymond Wang, Jaedong Hwang, Akhilan Boopathy, Ila R. Fiete |
| 2024 | IJCAI | Towards Exact Computation of Inductive Bias. | Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete |
| 2024 | ICRA | Resampling-free Particle Filters in High-dimensions. | Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete |
| 2023 | ICML | Model-agnostic Measure of Generalization Difficulty. | Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete |
| 2022 | ICML | How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective. | Akhilan Boopathy, Ila Fiete |
| 2021 | AAAI | Fast Training of Provably Robust Neural Networks by SingleProp. | Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel |
| 2020 | ICML | Proper Network Interpretability Helps Adversarial Robustness in Classification. | Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel |
| 2019 | AAAI | CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. | Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel |
| 2019 | ICML | PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. | Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel |