"ordinary differential equations" Papers

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Conference

AAAI 2025 (3,028)COLM 2025 (418)CVPR 2025 (2,873)ICCV 2025 (2,701)ICLR 2025 (3,827)ICML 2025 (3,340)ISMAR 2025 (229)NEURIPS 2025 (5,858)AAAI 2024 (2,289)CVPR 2024 (2,716)ECCV 2024 (2,387)ICLR 2024 (2,297)ICML 2024 (2,635)

Paper Type

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Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching

Nan Jiang, Md Nasim, Yexiang Xue

AAAI 2025paperarXiv:2409.01416

AMO Sampler: Enhancing Text Rendering with Overshooting

Xixi Hu, Keyang Xu, Bo Liu et al.

CVPR 2025arXiv:2411.19415

citations

Discovering Symmetries of ODEs by Symbolic Regression

Paul Kahlmeyer, Niklas Merk, Joachim Giesen

AAAI 2025paperarXiv:2506.19550

Flow matching achieves almost minimax optimal convergence

Kenji Fukumizu, Taiji Suzuki, Noboru Isobe et al.

ICLR 2025arXiv:2405.20879

citations

HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing

Junseong Shin, Seungwoo Chung, Yunjeong Yang et al.

ICCV 2025arXiv:2509.18190

citations

Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations

Heng Rao, Yu Gu, Jason Zipeng Zhang et al.

AAAI 2025paperarXiv:2409.12816

MobileODE: An Extra Lightweight Network

Le Yu, Jun Wu, Bo Gou et al.

NEURIPS 2025

Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs

Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz et al.

ICLR 2025arXiv:2502.07489

citations

Zero-shot Imputation with Foundation Inference Models for Dynamical Systems

Patrick Seifner, Kostadin Cvejoski, Antonia Körner et al.

ICLR 2025arXiv:2402.07594

citations

Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations

Jonas Beck, Nathanael Bosch, Michael Deistler et al.

ICML 2024arXiv:2402.12231

citations

LEAD: Exploring Logit Space Evolution for Model Selection

Zixuan Hu, Xiaotong Li, SHIXIANG TANG et al.

CVPR 2024arXiv:2507.14559

citations

Long Range Propagation on Continuous-Time Dynamic Graphs

Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio et al.

ICML 2024oralarXiv:2406.02740

citations

On the Implicit Bias of Adam

Matias Cattaneo, Jason Klusowski, Boris Shigida

ICML 2024arXiv:2309.00079

citations

Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics

Lanlan Chen, Kai Wu, Jian Lou et al.

AAAI 2024paperarXiv:2312.11198

citations