Poster "dynamical systems" Papers
16 papers found
Conference
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
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
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
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
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
Yifan Chen, Mark Goldstein, Mengjian Hua et al.
ICML 2024arXiv:2403.13724
42
citations