Ashok Vardhan Makkuva

According to our database, Ashok Vardhan Makkuva authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains.

Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar

CoRR, 2024

2023

Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes.

Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath

IEEE J. Sel. Areas Inf. Theory, 2023

LASER: Linear Compression in Wireless Distributed Optimization.

Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael C. Gastpar

CoRR, 2023

CRISP: Curriculum based Sequential neural decoders for Polar code family.

S. Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath

Proceedings of the International Conference on Machine Learning, 2023

2022

TinyTurbo: Efficient Turbo Decoders on Edge.

S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding.

Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath

Proceedings of the IEEE International Symposium on Information Theory, 2021

KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning.

Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Optimal transport mapping via input convex neural networks.

Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning in Gated Neural Networks.

Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Barracuda: The Power of ℓ-polling in Proof-of-Stake Blockchains.

Giulia Fanti, Jiantao Jiao, Ashok Vardhan Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath

Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms.

Ashok Vardhan Makkuva, Pramod Viswanath, Sreeram Kannan, Sewoong Oh

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning One-hidden-layer Neural Networks under General Input Distributions.

Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Equivalence of Additive-Combinatorial Linear Inequalities for Shannon Entropy and Differential Entropy.

Ashok Vardhan Makkuva, Yihong Wu

IEEE Trans. Inf. Theory, 2018

Globally Consistent Algorithms for Mixture of Experts.

Ashok Vardhan Makkuva, Sreeram Kannan, Pramod Viswanath

CoRR, 2018

2016

On additive-combinatorial affine inequalities for Shannon entropy and differential entropy.

Ashok Vardhan Makkuva, Yihong Wu

Proceedings of the IEEE International Symposium on Information Theory, 2016