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cs.LG2024
LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification
Arunabh Singh, Joyjit Mukherjee
System identification, the process of deriving mathematical models of dynamical systems from observed input-output data, has undergone a paradigm shift with the advent of learning-…
cs.LG2024
Enhancing Deep Learning based RMT Data Inversion using Gaussian Random Field
Koustav Ghosal, Arun Singh, Samir Malakar +2
Deep learning (DL) methods have emerged as a powerful tool for the inversion of geophysical data. When applied to field data, these models often struggle without additional fine-tu…