Vishnu Jejjala

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 14

Top Topics

Computationally Tractable

Intelligent Data Analysis

Quantum Computation

Top Venues

ACM Commun. Comput. Algebra

Publications

Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Topological data analysis on noisy quantum computers. ICLR (2024)
Yang-Hui He, Vishnu Jejjala, Brent D. Nelson, Hal Schenck, Michael Eugene Stillman
MSSM: A Macaulay2 Package for the Vacuum Moduli Space. ACM Commun. Comput. Algebra 57 (2) (2023)
Yang-Hui He, Vishnu Jejjala, Challenger Mishra, Max Sharnoff
Learning to be Simple. CoRR (2023)
Ismail Yunus Akhalwaya, Yang-Hui He, Lior Horesh, Vishnu Jejjala, William Kirby, Kugendran Naidoo, Shashanka Ubaru
Efficient Quantum Computation of the Fermionic Boundary Operator. CoRR (2022)
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Towards Quantum Advantage on Noisy Quantum Computers. CoRR (2022)
Per Berglund, Giorgi Butbaia, Tristan Hübsch, Vishnu Jejjala, Damián Mayorga Peña, Challenger Mishra, Justin Tan
Machine Learned Calabi-Yau Metrics and Curvature. CoRR (2022)
Vishnu Jejjala, Washington Taylor, Andrew Turner
Identifying equivalent Calabi-Yau topologies: A discrete challenge from math and physics for machine learning. CoRR (2022)
Per Berglund, Ben Campbell, Vishnu Jejjala
Machine Learning Kreuzer-Skarke Calabi-Yau Threefolds. CoRR (2021)
Jessica Craven, Mark Hughes, Vishnu Jejjala, Arjun Kar
Learning knot invariants across dimensions. CoRR (2021)
Vishnu Jejjala, Damian Kaloni Mayorga Pena, Challenger Mishra
Neural Network Approximations for Calabi-Yau Metrics. CoRR (2020)
Yarin Gal, Vishnu Jejjala, Damian Kaloni Mayorga Pena, Challenger Mishra
Baryons from Mesons: A Machine Learning Perspective. CoRR (2020)
Jessica Craven, Vishnu Jejjala, Arjun Kar
Disentangling a Deep Learned Volume Formula. CoRR (2020)
Thomas D. Schneider, Vishnu Jejjala
Restriction enzymes use a 24 dimensional coding space to recognize 6 base long DNA sequences. CoRR (2019)
Yang-Hui He, Vishnu Jejjala, Brent D. Nelson
hep-th. CoRR (2018)
Vishnu Jejjala, Michael Kavic, Djordje Minic, Chia-Hsiung Tze
Modeling Time's Arrow. Entropy 14 (4) (2012)