44 citations · 49 across the 3 of their papers we have counts for
6 papers
Mathematical conjecture generation using machine intelligence
Challenger Mishra, Subhayan Roy Moulik, Rahul Sarkar
Conjectures have historically played an important role in the development of pure mathematics. We propose a systematic approach to finding abstract patterns in mathematical data, i…
Neural Network Approximations for Calabi-Yau Metrics
Vishnu Jejjala, Damian Kaloni Mayorga Pena, Challenger Mishra
Ricci flat metrics for Calabi-Yau threefolds are not known analytically. In this work, we employ techniques from machine learning to deduce numerical flat metrics for the Fermat qu…
Baryons from Mesons: A Machine Learning Perspective
Yarin Gal, Vishnu Jejjala, Damian Kaloni Mayorga Pena +1
Quantum chromodynamics (QCD) is the theory of the strong interaction. The fundamental particles of QCD, quarks and gluons, carry colour charge and form colourless bound states at l…
Getting CICY High
Kieran Bull, Yang-Hui He, Vishnu Jejjala +1
Supervised machine learning can be used to predict properties of string geometries with previously unknown features. Using the complete intersection Calabi-Yau (CICY) threefold dat…
Machine Learning CICY Threefolds
Kieran Bull, Yang-Hui He, Vishnu Jejjala +1
The latest techniques from Neural Networks and Support Vector Machines (SVM) are used to investigate geometric properties of Complete Intersection Calabi-Yau (CICY) threefolds, a c…
Chemical Oscillation in Ultracold Chemistry
Subhrajit Modak, Priyam Das, Challenger Mishra +1
We demonstrate the occurrence of oscillatory reactions in the ultra-cold chemistry of atom-molecular Bose-Einstein condensate. Nonlinear oscillations in the mean-field dynamics occ…