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

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

Machine Learning for Optical Motion Capture-driven Musculoskeletal Modeling from Inertial Motion Capture Data. - Abhishek Dasgupta; Rahul Sharma; Challenger Mishra; Vikranth H. Nagaraja (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)

A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation. - Aarjav Jain; Challenger Mishra; Pietro Liò (CoRR, 2022)

Mathematical conjecture generation using machine intelligence. - Challenger Mishra; Subhayan Roy Moulik; Rahul Sarkar (CoRR, 2023)

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

Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm. - Carl Henrik Ek; Oisin Kim; Challenger Mishra (CoRR, 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)

Symbolic Approximations to Ricci-flat Metrics Via Extrinsic Symmetries of Calabi-Yau Hypersurfaces. - Viktor Mirjanic; Challenger Mishra (CoRR, 2024)