Akshay Rangamani

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 17

Top Topics

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Top Venues

Publications

Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A. Poggio
Feature learning in deep classifiers through Intermediate Neural Collapse. ICML (2023)
Akshay Rangamani, Andrzej Banburski-Fahey
Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay. ICASSP (2022)
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)
Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Sang Peter Chin
Neural-guided, Bidirectional Program Search for Abstraction and Reasoning. CoRR (2021)
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)
Akshay Rangamani, Lorenzo Rosasco, Tomaso A. Poggio
For interpolating kernel machines, the minimum norm ERM solution is the most stable. CoRR (2020)
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) (2020)
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) (2019)
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 (2019)
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) (2019)
Arun Asokan Nair, Luoluo Liu, Akshay Rangamani, Sang Peter Chin, Muyinatu A. Lediju Bell, Trac D. Tran
Reconstruction-Free Deep Convolutional Neural Networks for Partially Observed Images. GlobalSIP (2018)
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, Sang Peter Chin, Tomo Lazovich
Automated software vulnerability detection with machine learning. CoRR (2018)
Akshay Rangamani, Anirbit Mukherjee, Amitabh Basu, Ashish Arora, Tejaswini Ganapathi, Sang Peter Chin, Trac D. Tran
Sparse Coding and Autoencoders. ISIT (2018)
Dhaval Patel, Lam M. Nguyen, Akshay Rangamani, Shrey Shrivastava, Jayant Kalagnanam
ChieF: A Change Pattern based Interpretable Failure Analyzer. IEEE BigData (2018)
Sang Peter Chin, Trac D. Tran, Dung N. Tran, Akshay Rangamani
A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations. ICASSP (2018)
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 (2017)
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)
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)