Ashok Vardhan Makkuva

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Shannon Entropy

Fundamental Limits

Top Venues

Publications

Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar
Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains. CoRR (2024)
Nived Rajaraman, Marco Bondaschi, Kannan Ramchandran, Michael Gastpar, Ashok Vardhan Makkuva
Transformers on Markov Data: Constant Depth Suffices. CoRR (2024)
Adway Girish, Alliot Nagle, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models. CoRR (2024)
Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar
Local to Global: Learning Dynamics and Effect of Initialization for Transformers. CoRR (2024)
Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes. IEEE J. Sel. Areas Inf. Theory 4 (2023)
Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes. CoRR (2023)
Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael C. Gastpar
LASER: Linear Compression in Wireless Distributed Optimization. CoRR (2023)
S. Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath
CRISP: Curriculum based Sequential neural decoders for Polar code family. ICML (2023)
S. Ashwin Hebbar, Viraj Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family. CoRR (2022)
S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath
TinyTurbo: Efficient Turbo Decoders on Edge. ISIT (2022)
S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath
TinyTurbo: Efficient Turbo Decoders on Edge. CoRR (2022)
Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. CoRR (2021)
Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. ISIT (2021)
Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning. ICML (2021)
Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning. CoRR (2021)
Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee
Optimal transport mapping via input convex neural networks. ICML (2020)
Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath
Learning in Gated Neural Networks. AISTATS (2020)
Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee
Optimal transport mapping via input convex neural networks. CoRR (2019)
Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath
Learning One-hidden-layer Neural Networks under General Input Distributions. AISTATS (2019)
Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath
Learning in Gated Neural Networks. CoRR (2019)
Giulia C. Fanti, Jiantao Jiao, Ashok Vardhan Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath
Barracuda: The Power of ℓ-polling in Proof-of-Stake Blockchains. MobiHoc (2019)
Ashok Vardhan Makkuva, Pramod Viswanath, Sreeram Kannan, Sewoong Oh
Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms. ICML (2019)
Giulia C. Fanti, Jiantao Jiao, Ashok Vardhan Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath
Barracuda: The Power of 𝓁-polling in Proof-of-Stake Blockchains. CoRR (2019)
Ashok Vardhan Makkuva, Sreeram Kannan, Pramod Viswanath
Globally Consistent Algorithms for Mixture of Experts. CoRR (2018)
Ashok Vardhan Makkuva, Yihong Wu
Equivalence of Additive-Combinatorial Linear Inequalities for Shannon Entropy and Differential Entropy. IEEE Trans. Inf. Theory 64 (5) (2018)
Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath
Learning One-hidden-layer Neural Networks under General Input Distributions. CoRR (2018)
Ashok Vardhan Makkuva, Yihong Wu
On additive-combinatorial affine inequalities for Shannon entropy and differential entropy. ISIT (2016)
Ashok Vardhan Makkuva, Yihong Wu
On additive-combinatorial affine inequalities for Shannon entropy and differential entropy. CoRR (2016)