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Ashok Vardhan Makkuva
Ashok Vardhan Makkuva
Postdoctoral researcher, EPFL
epfl.ch의 이메일 확인됨 - 홈페이지
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Optimal Transport Mapping via Input Convex Neural Networks
A Makkuva, A Taghvaei, S Oh, J Lee
ICML 2020, 2020
2222020
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
ICML 2021, 2021
422021
Equivalence of Additive-Combinatorial Linear Inequalities for Shannon Entropy and Differential Entropy
AV Makkuva, Y Wu
IEEE Transactions on Information Theory, 2018
362018
Learning One-Hidden-Layer Neural Networks under General Input Distributions
W Gao, AV Makkuva, S Oh, P Viswanath
AISTATS 2019, 2019
352019
Breaking the Gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms
A Makkuva, P Viswanath, S Kannan, S Oh
ICML 2019, 2019
332019
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
ICLR 2025, Spotlight, 2024
252024
Reed-Muller subcodes: Machine learning-aided design of efficient soft recursive decoding
MV Jamali, X Liu, AV Makkuva, H Mahdavifar, S Oh, P Viswanath
ISIT 2021, 2021
192021
Learning in Gated Neural Networks
A Makkuva, S Oh, S Kannan, P Viswanath
AISTATS 2020, 2020
142020
Barracuda: The Power of ℓ-polling in Proof-of-Stake Blockchains
G Fanti, J Jiao, A Makkuva, S Oh, R Rana, P Viswanath
ACM Mobihoc 2019, Best Paper Award, 2019
122019
TinyTurbo: Efficient Turbo Decoders on Edge
S Ashwin Hebbar, RK Mishra, SK Ankireddy, AV Makkuva, H Kim, ...
ISIT 2022, 2022
11*2022
On Additive-Combinatorial Affine Inequalities for Shannon Entropy and Differential Entropy
AV Makkuva, Y Wu
ISIT 2016, 2016
72016
Transformers on Markov data: Constant Depth Suffices
N Rajaraman, M Bondaschi, K Ramchandran, M Gastpar, AV Makkuva
NeurIPS 2024, 2024
62024
Local to Global: Learning Dynamics and Effect of Initialization for Transformers
AV Makkuva, M Bondaschi, C Ekbote, A Girish, A Nagle, H Kim, ...
NeurIPS 2024, 2024
62024
LASER: Linear Compression in Wireless Distributed Optimization
AV Makkuva, M Bondaschi, T Vogels, M Jaggi, H Kim, MC Gastpar
ICML 2024, 2023
62023
CRISP: Curriculum based Sequential neural decoders for Polar code family
SA Hebbar, VV Nadkarni, AV Makkuva, S Bhat, S Oh, P Viswanath
ICML 2023, 2023
62023
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 4, 260-275, 2023
32023
Towards Principled Objectives for Contrastive Disentanglement
A Choudhuri, AV Makkuva, R Rana, S Oh, G Chowdhary, A Schwing
32020
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
A Girish, A Nagle, M Bondaschi, M Gastpar, H Kim, AV Makkuva
NeurIPS 2024, 2024
2*2024
Attention with markov: A curious case of single-layer transformers
AV Makkuva, M Bondaschi, A Nagle, A Girish, H Kim, M Jaggi, M Gastpar
ICML 2024 Workshop on Mechanistic Interpretability, 0
2
Event-driven Stochastic Approximation
VS Borkar, N Sahasrabudhe, M Ashok Vardhan
Indian Journal of Pure and Applied Mathematics 47 (2), 291-299, 2016
12016
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