| 2025 | ALT | On Generalization Bounds for Neural Networks with Low Rank Layers. | Andrea Pinto, Akshay Rangamani, Tomaso A. Poggio |
| 2025 | ICASSP | Low Rank and Sparse Fourier Structure in Recurrent Networks Trained on Modular Addition. | Akshay Rangamani |
| 2023 | ICML | Feature learning in deep classifiers through Intermediate Neural Collapse. | Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A. Poggio |
| 2022 | ICASSP | Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay. | Akshay Rangamani, Andrzej Banburski-Fahey |
| 2021 | ICASSP | A Scale Invariant Measure of Flatness for Deep Network Minima. | Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang (Peter) Chin, Trac D. Tran |
| 2018 | ICASSP | A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations. | Sang (Peter) Chin, Trac D. Tran, Dung N. Tran, Akshay Rangamani |
| 2018 | ISIT | Sparse Coding and Autoencoders. | Akshay Rangamani, Anirbit Mukherjee, Amitabh Basu, Ashish Arora, Tejaswini Ganapathi, Sang (Peter) Chin, Trac D. Tran |