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06/12/2023
Mathematical conjecture generation using machine intelligence
Conjectures have historically played an important role in the developmen...
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11/30/2022
A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation
Neural networks with PDEs embedded in their loss functions (physics-info...
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11/17/2022
Machine Learned Calabi–Yau Metrics and Curvature
Finding Ricci-flat (Calabi–Yau) metrics is a long standing problem in ge...
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09/28/2022
Machine Learning for Optical Motion Capture-driven Musculoskeletal Modeling from Inertial Motion Capture Data
Marker-based Optical Motion Capture (OMC) systems and the associated mus...
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12/31/2020
Neural Network Approximations for Calabi-Yau Metrics
Ricci flat metrics for Calabi-Yau threefolds are not known analytically....
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03/23/2020
Baryons from Mesons: A Machine Learning Perspective
Quantum chromodynamics (QCD) is the theory of the strong interaction. Th...
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06/08/2018