Akshay Rangamani

According to our database, Akshay Rangamani authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Feature learning in deep classifiers through Intermediate Neural Collapse.

Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A. Poggio

Proceedings of the International Conference on Machine Learning, 2023

2022

Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay.

Akshay Rangamani, Andrzej Banburski-Fahey

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

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

Proceedings of the IEEE International Conference on Acoustics, 2021

Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning.

Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Peter Chin

Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020

Detection and Confirmation of Multiple Human Targets Using Pixel-Wise Code Aperture Measurements.

Chiman Kwan, David Gribben, Akshay Rangamani, Trac D. Tran, Jack Zhang, Ralph Etienne-Cummings

J. Imaging, 2020

For interpolating kernel machines, the minimum norm ERM solution is the most stable.

Akshay Rangamani, Lorenzo Rosasco, Tomaso A. Poggio

CoRR, 2020

2019

Target tracking and classification using compressive sensing camera for SWIR videos.

Chiman Kwan, Bryan Chou, Jonathan Yang, Akshay Rangamani, Trac D. Tran, Jack Zhang, Ralph Etienne-Cummings

Signal Image Video Process., 2019

Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras.

Chiman Kwan, Bryan Chou, Jonathan Yang, Akshay Rangamani, Trac D. Tran, Jack Zhang, Ralph Etienne-Cummings

Sensors, 2019

A Scale Invariant Flatness Measure for Deep Network Minima.

Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang H. Chin, Trac D. Tran

CoRR, 2019

2018

Automated software vulnerability detection with machine learning.

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

CoRR, 2018

Sparse Coding and Autoencoders.

Akshay Rangamani, Anirbit Mukherjee, Amitabh Basu, Ashish Arora, Tejaswini Ganapathi, Sang (Peter) Chin, Trac D. Tran

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations.

Sang (Peter) Chin, Trac D. Tran, Dung N. Tran, Akshay Rangamani

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Reconstruction-Free Deep Convolutional Neural Networks for Partially Observed Images.

Arun Asokan Nair, Luoluo Liu, Akshay Rangamani, Peter Chin, Muyinatu A. Lediju Bell, Trac D. Tran

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

ChieF: A Change Pattern based Interpretable Failure Analyzer.

Dhaval Patel, Lam M. Nguyen, Akshay Rangamani, Shrey Shrivastava, Jayant Kalagnanam

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Critical Points Of An Autoencoder Can Provably Recover Sparsely Used Overcomplete Dictionaries.

Akshay Rangamani, Anirbit Mukherjee, Ashish Arora, Tejaswini Ganapathy, Amitabh Basu, Sang (Peter) Chin, Trac D. Tran

CoRR, 2017

2016

Predicting local field potentials with recurrent neural networks.

Louis Y. Kim, Jacob Harer, Akshay Rangamani, James Moran, Philip D. Parks, Alik Widge, Emad N. Eskandar, Darin D. Dougherty, Sang (Peter) Chin

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Targeted Dot Product Representation for Friend Recommendation in Online Social Networks.

Minh D. Dao, Akshay Rangamani, Sang Peter Chin, Nam P. Nguyen, Trac D. Tran

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015