conftrace_

differential equation

74 papers

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Also known as

DE

Co-occurring keywords · papers mentioning both

dynamical system (13) uncertainty quantification (9) gradient descent (8) bayesian inference (8) ordinary differential equation (7) physics-informed neural network (7) gaussian process (7) neural network (5) convergence rate (5) convex optimization (5)

Papers

APIC: Amortized Physics-Informed Calibration using Neural Processes UAI 2026 ElastoGen: 4D Generative Elastodynamics AAAI 2026 MDBench: Benchmarking Data-Driven Methods for Model Discovery AAAI 2026 WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network AAAI 2026 Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025 Closed-form Solutions: A New Perspective on Solving Differential Equations ICML 2025 Discovering Symmetries of ODEs by Symbolic Regression AAAI 2025 Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles UAI 2025 KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks IJCAI 2025 Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels ICLR 2025 PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations? CVPR 2025 Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficient-KAN and WAV-KAN JMLR 2025 QuanONet: Quantum Neural Operator with Application to Differential Equation ICML 2025 Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations ICLR 2025 Towards Hierarchical Rectified Flow ICLR 2025 AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction ICLR 2024 AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios ICML 2024 Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation ICLR 2024 Component Fourier Neural Operator for Singularly Perturbed Differential Equations AAAI 2024 Hyperbolic Optimizer as a Dynamical System ICML 2024 Improving physics-informed neural networks with meta-learned optimization JMLR 2024 Learning flow functions of spiking systems L4DC 2024 Marrying Causal Representation Learning with Dynamical Systems for Science NeurIPS 2024 Mechanistic Neural Networks for Scientific Machine Learning ICML 2024 MeLLoC: Lossless Compression with High-order Mechanism Learning NeurIPS 2024