| Optimal transport mapping via input convex neural networks A Makkuva, A Taghvaei, S Oh, J Lee International Conference on Machine Learning, 6672-6681, 2020 | 200 | 2020 |
| 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 | 38 | 2021 |
| 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 | 37 | 2018 |
| 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 | 32 | 2019 |
| 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 | 27 | 2019 |
| 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 | 15 | 2021 |
| Learning in gated neural networks A Makkuva, S Oh, S Kannan, P Viswanath International Conference on Artificial Intelligence and Statistics, 3338-3348, 2020 | 13 | 2020 |
| 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 | 12 | 2024 |
| 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 | 12 | 2019 |
| 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 | 7 | 2022 |
| 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 | 7 | 2016 |
| 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 | 3 | 2023 |
| 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 | 2 | 2023 |
| 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 | 2 | 2023 |
| Towards principled objectives for contrastive disentanglement A Choudhuri, AV Makkuva, R Rana, S Oh, G Chowdhary, A Schwing | 2 | 2020 |
| Event-driven stochastic approximation VS Borkar, N Sahasrabudhe, M Ashok Vardhan Indian Journal of Pure and Applied Mathematics 47 (2), 291-299, 2016 | 1 | 2016 |
| Transformers on Markov Data: Constant Depth Suffices N Rajaraman, M Bondaschi, K Ramchandran, M Gastpar, AV Makkuva arXiv preprint arXiv:2407.17686, 2024 | | 2024 |
| Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models A Girish, A Nagle, M Bondaschi, M Gastpar, AV Makkuva, H Kim arXiv preprint arXiv:2407.15504, 2024 | | 2024 |
| Local to Global: Learning Dynamics and Effect of Initialization for Transformers AV Makkuva, M Bondaschi, C Ekbote, A Girish, A Nagle, H Kim, ... arXiv preprint arXiv:2406.03072, 2024 | | 2024 |
| 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 |
Sewoong OhPaul G. Allen School of Computer Science and Engineering, University of Washington在 cs.washington.edu 的电子邮件经过验证
