conservation law

Physics-Enforced Reservoir Computing for Forecasting Spatiotemporal Systems L4DC 2025 Transformative or Conservative? Conservation laws for ResNets and Transformers ICML 2025 Graph Neural PDE Solvers with Conservation and Similarity-Equivariance ICML 2024 Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws ICML 2024 Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks ICML 2024 Abide by the law and follow the flow: conservation laws for gradient flows NeurIPS 2023 ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction ICML 2023 Hard-Constrained Deep Learning for Climate Downscaling JMLR 2023 Learning Physical Models that Can Respect Conservation Laws ICML 2023 Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems ICML 2022 Learning the Structure of Large Networked Systems Obeying Conservation Laws NeurIPS 2022 Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence NeurIPS 2022 Neural Conservation Laws: A Divergence-Free Perspective NeurIPS 2022 Physics-Informed Implicit Representations of Equilibrium Network Flows NeurIPS 2022 Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws AAAI 2021 Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics ICLR 2021 Noether Networks: meta-learning useful conserved quantities NeurIPS 2021 Deep Energy-based Modeling of Discrete-Time Physics NeurIPS 2020 From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics ICML 2020 Hamiltonian Neural Networks NeurIPS 2019