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cs.CV2026
Learning the Shared Latent Structure of Cryo-EM Inverse Problems
Nithin Chalapathi, Theo Sternlieb, Ethan Han +4
Understanding biomolecular function requires characterizing three-dimensional structure and conformational variability, for which cryogenic electron microscopy (cryo-EM) is a power…
cs.LG2026
PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems
Divyam Goel, Nithin Chalapathi, Sanjeev Raja +1
Inverse problems in partial differential equations (PDEs) involve estimating the physical parameters of a system from observed spatiotemporal solution fields. Neural networks are w…