conftrace_

physics-constrained learning

4 papers

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Co-occurring keywords · papers mentioning both

partial differential equation (2) partial differential equation solver (1) spatial-temporal decomposition (1) soft robotics (1) systematic error (1) port-hamiltonian model (1) automatic feature engineering (1) feature generation tree (1) materials discovery (1) interpretable prediction (1)

Papers

Physics-Constrained Comprehensive Optical Neural Networks NeurIPS 2024 Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024 NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition ICML 2023 Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science AAAI 2021