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Ashok Vardhan Makkuva
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Year
Optimal transport mapping via input convex neural networks
A Makkuva, A Taghvaei, S Oh, J Lee
International Conference on Machine Learning, 6672-6681, 2020
1092020
Learning one-hidden-layer neural networks under general input distributions
W Gao, AV Makkuva, S Oh, P Viswanath
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
292019
Equivalence of additive-combinatorial linear inequalities for Shannon entropy and differential entropy
AV Makkuva, Y Wu
IEEE Transactions on Information Theory 64 (5), 3579-3589, 2018
262018
Ko codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning
AV Makkuva, X Liu, MV Jamali, H Mahdavifar, S Oh, P Viswanath
International Conference on Machine Learning, 7368-7378, 2021
212021
Breaking the gridlock in mixture-of-experts: Consistent and efficient algorithms
A Makkuva, P Viswanath, S Kannan, S Oh
International Conference on Machine Learning, 4304-4313, 2019
192019
Reed-Muller subcodes: Machine learning-aided design of efficient soft recursive decoding
MV Jamali, X Liu, AV Makkuva, H Mahdavifar, S Oh, P Viswanath
2021 IEEE International Symposium on Information Theory (ISIT), 1088-1093, 2021
132021
Barracuda: the power of ℓ-polling in proof-of-stake blockchains
G Fanti, J Jiao, A Makkuva, S Oh, R Rana, P Viswanath
Proceedings of the twentieth ACM international symposium on mobile ad hoc …, 2019
122019
Learning in gated neural networks
A Makkuva, S Oh, S Kannan, P Viswanath
International Conference on Artificial Intelligence and Statistics, 3338-3348, 2020
82020
On additive-combinatorial affine inequalities for Shannon entropy and differential entropy
AV Makkuva, Y Wu
2016 IEEE International Symposium on Information Theory (ISIT), 1053-1057, 2016
72016
Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes
MV Jamali, X Liu, AV Makkuva, H Mahdavifar, S Oh, P Viswanath
arXiv preprint arXiv:2301.06251, 2023
12023
TinyTurbo: Efficient Turbo Decoders on Edge
SA Hebbar, RK Mishra, SK Ankireddy, AV Makkuva, H Kim, P Viswanath
2022 IEEE International Symposium on Information Theory (ISIT), 2797-2802, 2022
12022
Event-driven stochastic approximation
VS Borkar, N Sahasrabudhe, M Ashok Vardhan
Indian Journal of Pure and Applied Mathematics 47 (2), 291-299, 2016
12016
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
SA Hebbar, V Nadkarni, AV Makkuva, S Bhat, S Oh, P Viswanath
arXiv preprint arXiv:2210.00313, 2022
2022
TinyTurbo: Efficient Turbo Decoders on Edge
S Ashwin Hebbar, RK Mishra, SK Ankireddy, AV Makkuva, H Kim, ...
arXiv e-prints, arXiv: 2209.15614, 2022
2022
Deep code: representation and learning algorithms for neural networks & their applications to communication codes
AV Makkuva
2022
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