Vishnu Jejjala

20 papers A* 1Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Machine learning modularity. CoRR Yi Fan, Vishnu Jejjala, Yang Lei
2025	J	`jnl`	Colored Jones Polynomials and the Volume Conjecture. CoRR Mark Hughes, Vishnu Jejjala, P. Ramadevi, Pratik Roy, Vivek Kumar Singh
2025	J	`jnl`	Machine learning automorphic forms for black holes. CoRR Vishnu Jejjala, Suresh Nampuri, Dumisani Nxumalo, Pratik Roy, Abinash Swain
2024	J	`jnl`	Illuminating new and known relations between knot invariants. Mach. Learn. Sci. Technol. Jessica Craven, Mark Hughes, Vishnu Jejjala, Arjun Kar
2024	A*	`conf`	Topological data analysis on noisy quantum computers. ICLR Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
2024	J	`jnl`	cymyc - Calabi-Yau Metrics, Yukawas, and Curvature. CoRR Per Berglund, Giorgi Butbaia, Tristan Hübsch, Vishnu Jejjala, Challenger Mishra, Damián Mayorga Peña, Justin Tan
2023	J	`jnl`	Learning to be Simple. CoRR Yang-Hui He, Vishnu Jejjala, Challenger Mishra, Max Sharnoff
2023	J	`jnl`	MSSM: A Macaulay2 Package for the Vacuum Moduli Space. ACM Commun. Comput. Algebra Yang-Hui He, Vishnu Jejjala, Brent D. Nelson, Hal Schenck, Michael Eugene Stillman
2022	J	`jnl`	Efficient Quantum Computation of the Fermionic Boundary Operator. CoRR Ismail Yunus Akhalwaya, Yang-Hui He, Lior Horesh, Vishnu Jejjala, William Kirby, Kugendran Naidoo, Shashanka Ubaru
2022	J	`jnl`	Identifying equivalent Calabi-Yau topologies: A discrete challenge from math and physics for machine learning. CoRR Vishnu Jejjala, Washington Taylor, Andrew Turner
2022	J	`jnl`	Machine Learned Calabi-Yau Metrics and Curvature. CoRR Per Berglund, Giorgi Butbaia, Tristan Hübsch, Vishnu Jejjala, Damián Mayorga Peña, Challenger Mishra, Justin Tan
2022	J	`jnl`	Towards Quantum Advantage on Noisy Quantum Computers. CoRR Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
2021	J	`jnl`	Learning knot invariants across dimensions. CoRR Jessica Craven, Mark Hughes, Vishnu Jejjala, Arjun Kar
2021	J	`jnl`	Machine Learning Kreuzer-Skarke Calabi-Yau Threefolds. CoRR Per Berglund, Ben Campbell, Vishnu Jejjala
2020	J	`jnl`	Baryons from Mesons: A Machine Learning Perspective. CoRR Yarin Gal, Vishnu Jejjala, Damian Kaloni Mayorga Pena, Challenger Mishra
2020	J	`jnl`	Disentangling a Deep Learned Volume Formula. CoRR Jessica Craven, Vishnu Jejjala, Arjun Kar
2020	J	`jnl`	Neural Network Approximations for Calabi-Yau Metrics. CoRR Vishnu Jejjala, Damian Kaloni Mayorga Pena, Challenger Mishra
2019	J	`jnl`	Restriction enzymes use a 24 dimensional coding space to recognize 6 base long DNA sequences. CoRR Thomas D. Schneider, Vishnu Jejjala
2018	J	`jnl`	hep-th. CoRR Yang-Hui He, Vishnu Jejjala, Brent D. Nelson
2012	J	`jnl`	Modeling Time's Arrow. Entropy Vishnu Jejjala, Michael Kavic, Djordje Minic, Chia-Hsiung Tze