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Ashok Vardhan Makkuva
Ashok Vardhan Makkuva
Postdoctoral researcher, EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
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
1692020
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
362018
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
332021
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
322019
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
262019
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
152021
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
112020
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
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
62022
CRISP: Curriculum based Sequential neural decoders for Polar code family
SA Hebbar, VV Nadkarni, AV Makkuva, S Bhat, S Oh, P Viswanath
International Conference on Machine Learning, 12823-12845, 2023
32023
Attention with markov: A framework for principled analysis of transformers via markov chains
AV Makkuva, M Bondaschi, A Girish, A Nagle, M Jaggi, H Kim, M Gastpar
arXiv preprint arXiv:2402.04161, 2024
22024
Laser: Linear compression in wireless distributed optimization
AV Makkuva, M Bondaschi, T Vogels, M Jaggi, H Kim, MC Gastpar
arXiv preprint arXiv:2310.13033, 2023
12023
Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes
MV Jamali, X Liu, AV Makkuva, H Mahdavifar, S Oh, P Viswanath
IEEE Journal on Selected Areas in Information Theory, 2023
12023
Event-driven stochastic approximation
VS Borkar, N Sahasrabudhe, M Ashok Vardhan
Indian Journal of Pure and Applied Mathematics 47 (2), 291-299, 2016
12016
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
University of Illinois at Urbana-Champaign, 2022
2022
LINX
M Bondaschi, MB Dogan, AR Esposito, F Faille, C Feng, MC Gastpar, ...
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