Guaranteed Conformance of Neurosymbolic Models to Natural Constraints

2 December 2022

Papers citing "Guaranteed Conformance of Neurosymbolic Models to Natural Constraints"

6 / 6 papers shown

Title
Memory-Consistent Neural Networks for Imitation Learning Kaustubh Sridhar Souradeep Dutta Dinesh Jayaraman James Weimer Insup Lee 36 8 0 09 Oct 2023
Neural DAEs: Constrained neural networks Tue Boesen E. Haber Uri M. Ascher 31 3 0 25 Nov 2022
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data R. Kaur Kaustubh Sridhar Sangdon Park Susmit Jha Anirban Roy O. Sokolsky Insup Lee OODD AI4TS 144 0 0 24 Jul 2022
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou Cyrus Neary Eric Goubault S. Putot Ufuk Topcu PINN AI4CE 42 68 0 14 Sep 2021
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 494 0 09 Feb 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 130 424 0 10 Mar 2020