adjoint method

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 AdjointDEIS: Efficient Gradients for Diffusion Models NeurIPS 2024 Meta-Learning with Adjoint Methods AISTATS 2023 Adjoint-aided inference of Gaussian process driven differential equations NeurIPS 2022 Do Residual Neural Networks discretize Neural Ordinary Differential Equations? NeurIPS 2022 Differentiable Fluids with Solid Coupling for Learning and Control AAAI 2021 "Hey, that’s not an ODE": Faster ODE Adjoints via Seminorms ICML 2021 Learning continuous-time PDEs from sparse data with graph neural networks ICLR 2021 MALI: A memory efficient and reverse accurate integrator for Neural ODEs ICLR 2021 Stochastic continuous normalizing flows: training SDEs as ODEs UAI 2021 Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory NeurIPS 2021 Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE ICML 2020 Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs NeurIPS 2020 Neural Controlled Differential Equations for Irregular Time Series NeurIPS 2020