Differential Equations
54 papers
Papers per year
1
1
1
2
1
1
1
1
4
7
4
16
14
'10
'15
'25
Papers
Adaptive Fourier Decomposition-guided Neural Operator Design for Inverse PDE Problems
UAI 2026
Continuous time policy evaluation is easier with noisy dynamics
COLT 2026
Deep Q-Learning on Hölder Spaces
COLT 2026
Dynamic Black-hole Emission Tomography with Physics-informed Neural Fields
CVPR 2026
ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees
L4DC 2026
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
L4DC 2026
Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification
L4DC 2026
Learning to Solve PDEs on Neural Shape Representations
CVPR 2026
NESTOR: A Nested MOE-based Neural Operator for Large-Scale PDE Pre-Training
CVPR 2026
Online Tracking with Predictions for Nonlinear Systems with Koopman Linear Embedding
L4DC 2026
On the Exponential Stability of Koopman Model Predictive Control
L4DC 2026
Optical Flow Matching: Reframing Optical Flow as Continuous Transport Dynamics
CVPR 2026
PFEM-GP-dPHS : a finite element framework for combining Gaussian processes and infinite-dimensional port-Hamiltonian systems
L4DC 2026
Physics-Informed Neural Operators for Cardiac Electrophysiology
L4DC 2026
Emergence of meta-stable clustering in mean-field transformer models
ICLR 2025
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
AISTATS 2025
Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
UAI 2025
Global Convergence in Neural ODEs: Impact of Activation Functions
ICLR 2025
Learning Physics Informed Neural ODEs with Partial Measurements
AAAI 2025
Learning to Solve Differential Equation Constrained Optimization Problems
ICLR 2025
Local Stochastic Sensitivity Analysis For Dynamical Systems
AISTATS 2025
Opt-ODENet: Neural ODE Controller Design with Differentiable Optimization Layers for Safety and Stability
L4DC 2025
Parabolic Continual Learning
AISTATS 2025
Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems
ICLR 2025
QP Based Constrained Optimization for Reliable PINN Training
L4DC 2025