"dynamical systems" Papers

23 papers found

Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching

Nan Jiang, Md Nasim, Yexiang Xue

AAAI 2025paperarXiv:2409.01416

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences

Jing-An Sun, Hang Fan, Junchao Gong et al.

NEURIPS 2025arXiv:2505.22008
2
citations

Asynchronous Distributed Gaussian Process Regression

Zewen Yang, Xiaobing Dai, Sandra Hirche

AAAI 2025paperarXiv:2412.11950
1
citations

Discovering Symmetries of ODEs by Symbolic Regression

Paul Kahlmeyer, Niklas Merk, Joachim Giesen

AAAI 2025paperarXiv:2506.19550

Environment Inference for Learning Generalizable Dynamical System

Shixuan Liu, Yue He, Haotian Wang et al.

NEURIPS 2025spotlightarXiv:2510.19784
2
citations

FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation

Siyi Chen, Yixuan Jia, Qing Qu et al.

NEURIPS 2025arXiv:2501.16642
5
citations

Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation

François Rozet, Ruben Ohana, Michael McCabe et al.

NEURIPS 2025arXiv:2507.02608
8
citations

Meta-Dynamical State Space Models for Integrative Neural Data Analysis

Ayesha Vermani, Josue Nassar, Hyungju Jeon et al.

ICLR 2025arXiv:2410.05454
4
citations

One Filters All: A Generalist Filter For State Estimation

Shiqi Liu, Wenhan Cao, Chang Liu et al.

NEURIPS 2025arXiv:2509.20051
2
citations

Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme

Rudy Morel, Francesco Ramunno, Jeff Shen et al.

NEURIPS 2025oralarXiv:2511.19390
2
citations

Zero-shot forecasting of chaotic systems

Yuanzhao Zhang, William Gilpin

ICLR 2025arXiv:2409.15771
19
citations

Zero-shot Imputation with Foundation Inference Models for Dynamical Systems

Patrick Seifner, Kostadin Cvejoski, Antonia Körner et al.

ICLR 2025arXiv:2402.07594
10
citations

A Graph Dynamics Prior for Relational Inference

Liming Pan, Cheng Shi, Ivan Dokmanic

AAAI 2024paperarXiv:2306.06041
4
citations

Causal Inference out of Control: Estimating Performativity without Treatment Randomization

Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner

ICML 2024

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

Jonas Beck, Nathanael Bosch, Michael Deistler et al.

ICML 2024arXiv:2402.12231
5
citations

Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks

Zirou Qiu, Abhijin Adiga, Madhav Marathe et al.

ICML 2024arXiv:2405.06884
1
citations

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples

Thomas T. Zhang, Bruce Lee, Ingvar Ziemann et al.

ICML 2024arXiv:2410.11227
2
citations

Hyperbolic Optimizer as a Dynamical System

Nico Alvarado, Hans Lobel

ICML 2024

Latent Space Symmetry Discovery

Jianke Yang, Nima Dehmamy, Robin Walters et al.

ICML 2024arXiv:2310.00105
22
citations

Nesting Particle Filters for Experimental Design in Dynamical Systems

Sahel Iqbal, Adrien Corenflos, Simo Särkkä et al.

ICML 2024arXiv:2402.07868
8
citations

On the Consistency of Kernel Methods with Dependent Observations

Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow

ICML 2024arXiv:2406.06101
2
citations

PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs

Deividas Eringis, John Leth, Zheng-Hua Tan et al.

AAAI 2024paperarXiv:2312.09793
4
citations

Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes

Yifan Chen, Mark Goldstein, Mengjian Hua et al.

ICML 2024arXiv:2403.13724
42
citations