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2020 – today
- 2024
[i6]Andrea Pinto, Akshay Rangamani, Tomaso A. Poggio:
On Generalization Bounds for Neural Networks with Low Rank Layers. CoRR abs/2411.13733 (2024)- 2023
- [c10]Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A. Poggio:
Feature learning in deep classifiers through Intermediate Neural Collapse. ICML 2023: 28729-28745 - 2022
- [c9]Akshay Rangamani, Andrzej Banburski-Fahey:
Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay. ICASSP 2022: 4243-4247 - 2021
- [c8]Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Peter Chin:
Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning. COMPLEX NETWORKS 2021: 657-668 - [c7]Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang (Peter) Chin, Trac D. Tran:
A Scale Invariant Measure of Flatness for Deep Network Minima. ICASSP 2021: 1680-1684 - [i5]Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Peter Chin:
Neural-guided, Bidirectional Program Search for Abstraction and Reasoning. CoRR abs/2110.11536 (2021) - 2020
- [j3]Chiman Kwan
, David Gribben, Akshay Rangamani, Trac D. Tran, Jack Zhang, Ralph Etienne-Cummings:
Detection and Confirmation of Multiple Human Targets Using Pixel-Wise Code Aperture Measurements. J. Imaging 6(6): 40 (2020) - [i4]Akshay Rangamani, Lorenzo Rosasco, Tomaso A. Poggio:
For interpolating kernel machines, the minimum norm ERM solution is the most stable. CoRR abs/2006.15522 (2020)
2010 – 2019
- 2019
- [j2]Chiman Kwan, Bryan Chou, Jonathan Yang, Akshay Rangamani, Trac D. Tran, Jack Zhang, Ralph Etienne-Cummings:
Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras. Sensors 19(17): 3702 (2019) - [j1]Chiman Kwan, Bryan Chou, Jonathan Yang, Akshay Rangamani, Trac D. Tran, Jack Zhang, Ralph Etienne-Cummings:
Target tracking and classification using compressive sensing camera for SWIR videos. Signal Image Video Process. 13(8): 1629-1637 (2019) - [i3]Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang H. Chin, Trac D. Tran:
A Scale Invariant Flatness Measure for Deep Network Minima. CoRR abs/1902.02434 (2019) - 2018
- [c6]Dhaval Patel, Lam M. Nguyen, Akshay Rangamani, Shrey Shrivastava, Jayant Kalagnanam:
ChieF: A Change Pattern based Interpretable Failure Analyzer. IEEE BigData 2018: 1978-1985 - [c5]Arun Asokan Nair, Luoluo Liu, Akshay Rangamani, Peter Chin, Muyinatu A. Lediju Bell, Trac D. Tran:
Reconstruction-Free Deep Convolutional Neural Networks for Partially Observed Images. GlobalSIP 2018: 400-404 - [c4]Sang (Peter) Chin, Trac D. Tran, Dung N. Tran, Akshay Rangamani:
A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations. ICASSP 2018: 2171-2175 - [c3]Akshay Rangamani, Anirbit Mukherjee, Amitabh Basu, Ashish Arora, Tejaswini Ganapathi, Sang (Peter) Chin, Trac D. Tran:
Sparse Coding and Autoencoders. ISIT 2018: 36-40 - [i2]Jacob A. Harer, Louis Y. Kim, Rebecca L. Russell, Onur Ozdemir, Leonard R. Kosta, Akshay Rangamani, Lei H. Hamilton, Gabriel I. Centeno, Jonathan R. Key, Paul M. Ellingwood, Marc W. McConley, Jeffrey M. Opper, Peter Chin, Tomo Lazovich:
Automated software vulnerability detection with machine learning. CoRR abs/1803.04497 (2018) - 2017
- [i1]Akshay Rangamani, Anirbit Mukherjee, Ashish Arora, Tejaswini Ganapathy, Amitabh Basu, Sang (Peter) Chin, Trac D. Tran:
Critical Points Of An Autoencoder Can Provably Recover Sparsely Used Overcomplete Dictionaries. CoRR abs/1708.03735 (2017) - 2016
- [c2]Louis Y. Kim, Jacob Harer, Akshay Rangamani, James Moran, Philip D. Parks, Alik Widge, Emad N. Eskandar, Darin D. Dougherty, Sang (Peter) Chin:
Predicting local field potentials with recurrent neural networks. EMBC 2016: 808-811 - 2015
- [c1]Minh D. Dao, Akshay Rangamani, Sang Peter Chin, Nam P. Nguyen, Trac D. Tran:
Targeted Dot Product Representation for Friend Recommendation in Online Social Networks. ASONAM 2015: 349-356
Coauthor Index
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