Modeling Time's Arrow. - Vishnu Jejjala; Michael Kavic; Djordje Minic; Chia-Hsiung Tze (Entropy, 2012)

hep-th. - Yang-Hui He; Vishnu Jejjala; Brent D. Nelson (CoRR, 2018)

Restriction enzymes use a 24 dimensional coding space to recognize 6 base long DNA sequences. - Thomas D. Schneider; Vishnu Jejjala (CoRR, 2019)

Baryons from Mesons: A Machine Learning Perspective. - Yarin Gal; Vishnu Jejjala; Damian Kaloni Mayorga Pena; Challenger Mishra (CoRR, 2020)

Disentangling a Deep Learned Volume Formula. - Jessica Craven; Vishnu Jejjala; Arjun Kar (CoRR, 2020)

Neural Network Approximations for Calabi-Yau Metrics. - Vishnu Jejjala; Damian Kaloni Mayorga Pena; Challenger Mishra (CoRR, 2020)

Learning knot invariants across dimensions. - Jessica Craven; Mark Hughes; Vishnu Jejjala; Arjun Kar (CoRR, 2021)

Machine Learning Kreuzer-Skarke Calabi-Yau Threefolds. - Per Berglund; Ben Campbell; Vishnu Jejjala (CoRR, 2021)

Efficient Quantum Computation of the Fermionic Boundary Operator. - Ismail Yunus Akhalwaya; Yang-Hui He; Lior Horesh; Vishnu Jejjala; William Kirby; Kugendran Naidoo; Shashanka Ubaru (CoRR, 2022)

Identifying equivalent Calabi-Yau topologies: A discrete challenge from math and physics for machine learning. - Vishnu Jejjala; Washington Taylor; Andrew Turner (CoRR, 2022)

Towards Quantum Advantage on Noisy Quantum Computers. - Ismail Yunus Akhalwaya; Shashanka Ubaru; Kenneth L. Clarkson; Mark S. Squillante; Vishnu Jejjala; Yang-Hui He; Kugendran Naidoo; Vasileios Kalantzis; Lior Horesh (CoRR, 2022)

Machine Learned Calabi-Yau Metrics and Curvature. - Per Berglund; Giorgi Butbaia; Tristan Hübsch; Vishnu Jejjala; Damián Mayorga Peña; Challenger Mishra; Justin Tan (CoRR, 2022)

Learning to be Simple. - Yang-Hui He; Vishnu Jejjala; Challenger Mishra; Max Sharnoff (CoRR, 2023)

MSSM: A Macaulay2 Package for the Vacuum Moduli Space. - Yang-Hui He; Vishnu Jejjala; Brent D. Nelson; Hal Schenck; Michael Eugene Stillman (ACM Commun. Comput. Algebra, 2023)

Topological data analysis on noisy quantum computers. - Ismail Yunus Akhalwaya; Shashanka Ubaru; Kenneth L. Clarkson; Mark S. Squillante; Vishnu Jejjala; Yang-Hui He; Kugendran Naidoo; Vasileios Kalantzis; Lior Horesh (ICLR, 2024)

cymyc - Calabi-Yau Metrics, Yukawas, and Curvature. - Per Berglund; Giorgi Butbaia; Tristan Hübsch; Vishnu Jejjala; Challenger Mishra; Damián Mayorga Peña; Justin Tan (CoRR, 2024)

Colored Jones Polynomials and the Volume Conjecture. - Mark Hughes; Vishnu Jejjala; P. Ramadevi; Pratik Roy; Vivek Kumar Singh (CoRR, 2025)

Machine learning automorphic forms for black holes. - Vishnu Jejjala; Suresh Nampuri; Dumisani Nxumalo; Pratik Roy; Abinash Swain (CoRR, 2025)