conftrace_

ordinary differential equation

139 papers

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Also known as

ODE

Co-occurring keywords

dynamical system (398) neural network (6616) diffusion model (3751) graph neural network (3962) bayesian inference (1907) variational inference (2069) gaussian process (1200) neural ordinary differential equation (139) generative model (2892) neural network optimization (1293)

Papers

Neural Persistence Dynamics NIPS 2024
CLOAF: CoLlisiOn-Aware Human Flow CVPR 2024
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps CVPR 2024
A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent JMLR 2024
Identifiability Analysis of Linear ODE Systems with Hidden Confounders NIPS 2024
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics AAAI 2024
Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization NIPS 2024
Invariant Physics-Informed Neural Networks for Ordinary Differential Equations JMLR 2024
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting WACV 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024
Neural Oscillators for Generalization of Physics-Informed Machine Learning AAAI 2024
Locally Aligned Rectified Flow Model for Speech Enhancement Towards Single-Step Diffusion INTERSPEECH 2024
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NIPS 2024
Post-Regularization Confidence Bands for Ordinary Differential Equations JMLR 2024
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing CVPR 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series IJCAI 2024
Probabilistic ODE solvers for integration error-aware numerical optimal control L4DC 2024
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior CVPR 2024
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method EMNLP 2024
Sensitivity-Free Gradient Descent Algorithms JMLR 2023
Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data ICML 2023
Restart Sampling for Improving Generative Processes NIPS 2023
Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint ICML 2023
Predicting Ordinary Differential Equations with Transformers ICML 2023