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Akshay Rangamani
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Year
Feature learning in deep classifiers through intermediate neural collapse
A Rangamani, M Lindegaard, T Galanti, TA Poggio
International Conference on Machine Learning, 28729-28745, 2023
82023
Skip Connections Increase the Capacity of Associative Memories in Variable Binding Mechanisms
Y Xie, Y Li, A Rangamani
Center for Brains, Minds and Machines (CBMM), 2023
2023
For interpolating kernel machines, minimizing the norm of the ERM solution maximizes stability
A Rangamani, L Rosasco, T Poggio
Analysis and Applications 21 (01), 193-215, 2023
22023
Dynamics in Deep Classifiers trained with the Square Loss: normalization, low rank, neural collapse and generalization bounds
M Xu, A Rangamani, Q Liao, T Galanti, T Poggio
Research, 2023
24*2023
Understanding the Role of Recurrent Connections in Assembly Calculus
A Rangamani, Y Xie
Center for Brains, Minds and Machines (CBMM) Memo 137, 2022
2022
Neural collapse in deep homogeneous classifiers and the role of weight decay
A Rangamani, A Banburski-Fahey
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech andá…, 2022
172022
Neural-guided, bidirectional program search for abstraction and reasoning
S Alford, A Gandhi, A Rangamani, A Banburski, T Wang, S Dandekar, ...
Complex Networks & Their Applications X: Volume 1, Proceedings of the Tenthá…, 2022
72022
Spectral gap extrapolation and radio frequency interference suppression using 1D UNets
AA Nair, A Rangamani, LH Nguyen, MAL Bell, TD Tran
2021 IEEE Radar Conference (RadarConf21), 1-6, 2021
62021
For interpolating kernel machines, minimizing the norm of the ERM solution minimizes stability
A Rangamani, L Rosasco, T Poggio
arXiv preprint arXiv:2006.15522, 2020
62020
Real-time and deep learning based vehicle detection and classification using pixel-wise code exposure measurements
C Kwan, D Gribben, B Chou, B Budavari, J Larkin, A Rangamani, T Tran, ...
Electronics 9 (6), 1014, 2020
302020
Detection and confirmation of multiple human targets using pixel-wise code aperture measurements
C Kwan, D Gribben, A Rangamani, T Tran, J Zhang, R Etienne-Cummings
Journal of Imaging 6 (6), 40, 2020
192020
Loss landscapes and generalization in neural networks: Theory and applications
A Rangamani
Johns Hopkins University, 2020
12020
Target tracking and classification using compressive sensing camera for SWIR videos
C Kwan, B Chou, J Yang, A Rangamani, T Tran, J Zhang, ...
Signal, Image and Video Processing 13, 1629-1637, 2019
212019
Deep learning-based target tracking and classification for low quality videos using coded aperture cameras
C Kwan, B Chou, J Yang, A Rangamani, T Tran, J Zhang, ...
Sensors 19 (17), 3702, 2019
362019
Target tracking and classification using compressive measurements of MWIR and LWIR coded aperture cameras
C Kwan, B Chou, J Yang, A Rangamani, T Tran, J Zhang, ...
Journal of Signal and Information Processing 10 (3), 73-95, 2019
212019
A scale invariant flatness measure for deep network minima
A Rangamani, NH Nguyen, A Kumar, D Phan, SH Chin, TD Tran
arXiv preprint arXiv:1902.02434, 2019
29*2019
Chief: A change pattern based interpretable failure analyzer
D Patel, LM Nguyen, A Rangamani, S Shrivastava, J Kalagnanam
2018 IEEE International Conference on Big Data (Big Data), 1978-1985, 2018
72018
Reconstruction-free deep convolutional neural networks for partially observed images
A Nair, L Liu, A Rangamani, P Chin, MAL Bell, TD Tran
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIPá…, 2018
52018
Sparse Coding and Autoencoders
A Mukherjee, A Rangamani, A Basu, A Arora, S Chin, TD Tran, ...
2018 IEEE International Symposium on Information Theory, 2018
2018
Sparse coding and autoencoders
A Rangamani, A Mukherjee, A Basu, A Arora, T Ganapathi, S Chin, ...
2018 IEEE International Symposium on Information Theory (ISIT), 36-40, 2018
28*2018
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Articles 1–20