scientific machine learning

A Common Interface for Automatic Differentiation JMLR 2026 Brain Tumor Growth Inversion via Differentiable Neural Surrogates MIDL 2026 Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond AAAI 2026 Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition L4DC 2026 Automated, Interpretable, and Scalable Scientific Machine Learning AAAI 2025 Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025 HydroGym: A Reinforcement Learning Platform for Fluid Dynamics L4DC 2025 MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving IJCAI 2025 Scalable Mechanistic Neural Networks ICLR 2025 Semi-Implicit Neural Ordinary Differential Equations AAAI 2025 APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs NeurIPS 2024 Gradients of Functions of Large Matrices NeurIPS 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NeurIPS 2024 Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning L4DC 2024 Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations NeurIPS 2024 PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NeurIPS 2024 D-CIPHER: Discovery of Closed-form Partial Differential Equations NeurIPS 2023 Learning Neural PDE Solvers with Parameter-Guided Channel Attention ICML 2023 Learning Physical Models that Can Respect Conservation Laws ICML 2023 NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data ICML 2023 Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior NeurIPS 2023 Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data NeurIPS 2023 Learning Green's functions associated with time-dependent partial differential equations JMLR 2022 Learning to Accelerate Partial Differential Equations via Latent Global Evolution NeurIPS 2022