Tensor network approaches for learning non-linear dynamical laws

27 February 2020

Papers citing "Tensor network approaches for learning non-linear dynamical laws"

4 / 4 papers shown

Title
Scalably learning quantum many-body Hamiltonians from dynamical data Frederik Wilde A. Kshetrimayum I. Roth D. Hangleiter R. Sweke Jens Eisert AI4CE 54 30 0 28 Sep 2022
AI Descartes: Combining Data and Theory for Derivable Scientific Discovery Cristina Cornelio S. Dash V. Austel Tyler R. Josephson Joao Goncalves K. Clarkson N. Megiddo Bachir El Khadir L. Horesh AI4CE 96 7 0 03 Sep 2021
Convergence bounds for nonlinear least squares and applications to tensor recovery Philipp Trunschke 33 7 0 11 Aug 2021
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data Kadierdan Kaheman Steven L. Brunton J. Nathan Kutz 75 84 0 12 Sep 2020