conftrace_

differential equation

56 papers

Explore in graph

Also known as

DE

Co-occurring keywords

dynamical system (398) gradient descent (1144) gaussian process (1200) ordinary differential equation (139) uncertainty quantification (1393) bayesian inference (1907) physics-informed neural network (97) convergence rate (607) convex optimization (1321) symbolic regression (54)

Papers

ElastoGen: 4D Generative Elastodynamics AAAI 2026
WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network AAAI 2026
MDBench: Benchmarking Data-Driven Methods for Model Discovery AAAI 2026
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks IJCAI 2025
PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations? CVPR 2025
Discovering Symmetries of ODEs by Symbolic Regression AAAI 2025
Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficient-KAN and WAV-KAN JMLR 2025
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025
MeLLoC: Lossless Compression with High-order Mechanism Learning NIPS 2024
Component Fourier Neural Operator for Singularly Perturbed Differential Equations AAAI 2024
Learning flow functions of spiking systems L4DC 2024
Marrying Causal Representation Learning with Dynamical Systems for Science NIPS 2024
Symmetry-Informed Governing Equation Discovery NIPS 2024
Improving physics-informed neural networks with meta-learned optimization JMLR 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks AISTATS 2024
Physics-Informed Variational State-Space Gaussian Processes NIPS 2024
Learning to Decouple Complex Systems ICML 2023
Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions ICML 2023
Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data ICML 2023
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors JMLR 2023
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows ICML 2023
Probabilistic Exponential Integrators NIPS 2023
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract) AAAI 2023
A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization NIPS 2023
Residual-based error bound for physics-informed neural networks UAI 2023