Huffman coding based encoding techniques for fast distributed deep learning RR Gajjala, S Banchhor, AM Abdelmoniem, A Dutta, M Canini, P Kalnis Proceedings of the 1st Workshop on Distributed Machine Learning, 21-27, 2020 | 31 | 2020 |
No distributed quantum advantage for approximate graph coloring X Coiteux-Roy, F d'Amore, R Gajjala, F Kuhn, F Le Gall, H Lievonen, ... Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 1901-1910, 2024 | 9 | 2024 |
Edge-coloured graphs with only monochromatic perfect matchings and their connection to quantum physics LS Chandran, R Gajjala arXiv preprint arXiv:2202.05562, 2022 | 3* | 2022 |
Learning sparse fixed-structure gaussian bayesian networks A Bhattacharyya, D Choo, R Gajjala, S Gayen, Y Wang International Conference on Artificial Intelligence and Statistics, 9400-9429, 2022 | 2 | 2022 |
Generalizations of Length Limited Huffman Coding for Hierarchical Memory Settings S Banchhor, R Gajjala, Y Sabharwal, S Sen arXiv preprint arXiv:2010.05005, 2020 | 2* | 2020 |
Graph-theoretic insights on the constructability of complex entangled states LS Chandran, R Gajjala Quantum 8, 1396, 2024 | 1 | 2024 |
Two Results on LPT: A Near-Linear Time Algorithm and Parcel Delivery using Drones LS Chandran, R Gajjala, S Mehra, S Rahul arXiv preprint arXiv:2407.16323, 2024 | | 2024 |
Krenn-Gu conjecture for sparse graphs LS Chandran, R Gajjala, AM Illickan arXiv preprint arXiv:2407.00303, 2024 | | 2024 |
Improved upper bounds for the Heilbronn's Problem for -gons R Gajjala, J Ravi arXiv preprint arXiv:2405.12945, 2024 | | 2024 |