conftrace_

differential equation

56 papers

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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

Adversarial Classification: Necessary Conditions and Geometric Flows JMLR 2022
AutoIP: A United Framework to Integrate Physics into Gaussian Processes ICML 2022
Zero Stability Well Predicts Performance of Convolutional Neural Networks AAAI 2022
Adjoint-aided inference of Gaussian process driven differential equations NIPS 2022
Receptive Field Size Optimization With Continuous Time Pooling WACV 2021
Physics-informed Spline Learning for Nonlinear Dynamics Discovery IJCAI 2021
Black Box Probabilistic Numerics NIPS 2021
Characterizing possible failure modes in physics-informed neural networks NIPS 2021
Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease NIPS 2021
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data NIPS 2021
Policy Analysis using Synthetic Controls in Continuous-Time ICML 2021
Parameter Inference with Bifurcation Diagrams NIPS 2021
A General System of Differential Equations to Model First-Order Adaptive Algorithms JMLR 2020
Deep Energy-based Modeling of Discrete-Time Physics NIPS 2020
Analog Accelerator for Simulation and Diagnostics AAAI 2020
Differential Equation Units: Learning Functional Forms of Activation Functions from Data AAAI 2020
Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control NIPS 2019
Acceleration via Symplectic Discretization of High-Resolution Differential Equations NIPS 2019
A Dynamical Systems Perspective on Nesterov Acceleration ICML 2019
Beyond Structural Causal Models: Causal Constraints Models UAI 2019
The Physical Systems Behind Optimization Algorithms NIPS 2018
Algorithmic Linearly Constrained Gaussian Processes NIPS 2018
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations ICML 2018
Neural Networks Trained to Solve Differential Equations Learn General Representations NIPS 2018
Constrained Cross-Entropy Method for Safe Reinforcement Learning NIPS 2018