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Rishikesh Gajjala
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2020 – today
- 2024
- [c7]L. Sunil Chandran, Rishikesh Gajjala, Abraham M. Illickan:
Krenn-Gu Conjecture for Sparse Graphs. MFCS 2024: 41:1-41:15 - [c6]Xavier Coiteux-Roy
, Francesco D'Amore
, Rishikesh Gajjala
, Fabian Kuhn
, François Le Gall
, Henrik Lievonen
, Augusto Modanese
, Marc-Olivier Renou
, Gustav Schmid
, Jukka Suomela
:
No Distributed Quantum Advantage for Approximate Graph Coloring. STOC 2024: 1901-1910 - [i8]Rishikesh Gajjala, Jayanth Ravi:
Improved upper bounds for the Heilbronn's Problem for k-gons. CoRR abs/2405.12945 (2024) - [i7]L. Sunil Chandran, Rishikesh Gajjala, Abraham M. Illickan:
Krenn-Gu conjecture for sparse graphs. CoRR abs/2407.00303 (2024) - [i6]L. Sunil Chandran, Rishikesh Gajjala, Shravan Mehra, Saladi Rahul:
Two Results on LPT: A Near-Linear Time Algorithm and Parcel Delivery using Drones. CoRR abs/2407.16323 (2024) - 2023
- [i5]L. Sunil Chandran, Rishikesh Gajjala:
Graph-theoretic insights on the constructability of complex entangled states. CoRR abs/2304.06407 (2023) - [i4]Xavier Coiteux-Roy
, Francesco D'Amore, Rishikesh Gajjala, Fabian Kuhn, François Le Gall, Henrik Lievonen, Augusto Modanese
, Marc-Olivier Renou
, Gustav Schmid, Jukka Suomela:
No distributed quantum advantage for approximate graph coloring. CoRR abs/2307.09444 (2023) - 2022
- [c5]Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang:
Learning Sparse Fixed-Structure Gaussian Bayesian Networks. AISTATS 2022: 9400-9429 - [i3]L. Sunil Chandran, Rishikesh Gajjala:
Perfect Matchings and Quantum Physics: Progress on Krenn's Conjecture. CoRR abs/2202.05562 (2022) - 2021
- [c4]Shashwat Banchhor, Rishikesh R. Gajjala, Yogish Sabharwal, Sandeep Sen:
Efficient algorithms for decode efficient prefix codes. DCC 2021: 338 - [c3]Shashwat Banchhor, Rishikesh R. Gajjala, Yogish Sabharwal, Sandeep Sen:
Generalizations of Length Limited Huffman Coding for Hierarchical Memory Settings. FSTTCS 2021: 8:1-8:23 - [i2]Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang:
Learning Sparse Fixed-Structure Gaussian Bayesian Networks. CoRR abs/2107.10450 (2021) - 2020
- [c2]Rishikesh R. Gajjala
, Shashwat Banchhor, Ahmed M. Abdelmoniem
, Aritra Dutta
, Marco Canini
, Panos Kalnis
:
Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. DistributedML@CoNEXT 2020: 21-27 - [c1]Shashwat Banchhor, Rishikesh R. Gajjala
, Yogish Sabharwal, Sandeep Sen:
Decode-Efficient Prefix Codes for Hierarchical Memory Models. DCC 2020: 360 - [i1]Shashwat Banchhor, Rishikesh R. Gajjala
, Yogish Sabharwal, Sandeep Sen:
Decode efficient prefix codes. CoRR abs/2010.05005 (2020)
Coauthor Index
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last updated on 2024-08-27 23:00 CEST by the dblp team
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