ordinary differential equation

CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation AAAI 2026 Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space AAAI 2026 Forecast Then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers AAAI 2026 ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes AAAI 2026 Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers CVPR 2026 Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models CVPR 2026 Universality of high-dimensional scaling limits of stochastic gradient descent (extended abstract) COLT 2026 Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching AAAI 2025 Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025 A Solvable Attention for Neural Scaling Laws ICLR 2025 Bayesian Gaussian Process ODEs via Double Normalizing Flows AISTATS 2025 CODE: Confident Ordinary Differential Editing AAAI 2025 Diffusion Bridge Implicit Models ICLR 2025 Discovering Symmetries of ODEs by Symbolic Regression AAAI 2025 Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation COLING 2025 Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space AAAI 2025 Elucidating the Preconditioning in Consistency Distillation ICLR 2025 FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems ICCV 2025 Flow matching achieves almost minimax optimal convergence ICLR 2025 Flow Matching Based Sequential Recommender Model IJCAI 2025 FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks ICML 2025 HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing ICCV 2025 Learning Biomolecular Models using Signal Temporal Logic L4DC 2025 Learning Physics Informed Neural ODEs with Partial Measurements AAAI 2025 Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure AAAI 2025