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adjoint method

11 papers

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Co-occurring keywords

neural ode (29) neural differential equation (36) gradient flow (142) neural ordinary differential equation (139) gradient computation (45) gradient descent (1144) residual neural network (21) fluid simulation (11) exponential integrator (3) symplectic integrator (5)

Papers

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