עקוב אחר
Thulasi Tholeti
Thulasi Tholeti
Postdoctoral Research Fellow, EAI, Northeastern University
כתובת אימייל מאומתת בדומיין northeastern.edu
כותרת
צוטט על ידי
צוטט על ידי
שנה
Spectrum access in cognitive radio using a two-stage reinforcement learning approach
V Raj, I Dias, T Tholeti, S Kalyani
IEEE Journal of Selected Topics in Signal Processing 12 (1), 20-34, 2018
1012018
The robust way to stack and bag: the local Lipschitz way
T Tholeti, S Kalyani
arXiv preprint arXiv:2206.00513, 2022
22022
Green detnet: Computation and memory efficient detnet using smart compression and training
N Nayak, T Tholeti, M Srinivasan, S Kalyani
arXiv preprint arXiv:2003.09446, 2020
22020
A Centralized Multi-stage Non-parametric Learning Algorithm for Opportunistic Spectrum Access
T Tholeti, V Raj, S Kalyani
arXiv preprint arXiv:1804.11135, 2018
2*2018
Binarized ResNet: Enabling Robust Automatic Modulation Classification at the Resource-Constrained Edge
NP Shankar, D Sadhukhan, N Nayak, T Tholeti, S Kalyani
IEEE Transactions on Cognitive Communications and Networking, 2024
2024
Introducing the Huber mechanism for differentially private low-rank matrix completion
RA Gowtham, T Tholeti, S Kalyani
arXiv preprint arXiv:2206.07910, 2022
2022
Introducing the Huber mechanism for differentially private low-rank matrix completion
R Adithya Gowtham, T Tholeti, S Kalyani
arXiv e-prints, arXiv: 2206.07910, 2022
2022
How to boost autoencoders?
S Krishna, T Tholeti, S Kalyani
arXiv preprint arXiv:2110.15307, 2021
2021
Binarized ResNet: Enabling Robust Automatic Modulation Classification at the resource-constrained Edge
D Sadhukhan, NP Shankar, N Nayak, T Tholeti, S Kalyani
arXiv preprint arXiv:2110.14357, 2021
2021
On the Differentially Private Nature of Perturbed Gradient Descent
T Tholeti, S Kalyani
arXiv preprint arXiv:2101.06847, 2021
2021
Tune smarter not harder: A principled approach to tuning learning rates for shallow nets
T Tholeti, S Kalyani
IEEE Transactions on Signal Processing 68, 5063-5078, 2020
2020
Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis
T Tholeti, S Kalyani
arXiv preprint arXiv:1905.11620, 2019
2019
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מאמרים 1–12