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Awesome nlin.CD β curated papers, datasets & benchmarks Β· Awesome AI for Science
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nlin.CD
14 papers tagged nlin.CD β re-sort below
Papers
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14 papers Β· trending (default)
numbers = π₯ heat
Perturbations and Phase Transitions in Swarm Optimization Algorithms
(2025)
Tom\'a\v{s} Vantuch et al.
5.65
Absence of hidden analytic conserved quantities in harmonically confined rods
(2026)
Sahil Kumar Singh et al.
4.39
Phase transitions in swarm optimization algorithms
(2025)
Tom\'a\v{s} Vantuch et al.
4.36
LatentFlow: A General Framework for Conditioning Stochastic Processes
(2026)
Louis Sharrock et al.
3.51
Emergent Latent-State Computation under Stochastic Volatility
(2026)
Xiaoyu Huang et al.
2.00
The Universe Learning Itself: On the Evolution of Dynamics from the Big Bang to Machine Intelligence
(2025)
Pradeep Singh et al.
1.61
Emergent self-inhibition governs the landscape of stable states in complex ecosystems
(2025)
Nitesh Kumar Patro et al.
1.56
Diffusion-Guided Renormalization of Neural Systems via Tensor Networks
(2025)
Nathan X. Kodama
1.50
Discovering the dynamics of \emph{Sargassum} rafts' centers of mass
(2025)
Francisco J. Beron-Vera and Gage Bonner
1.33
Probing forced responses and causality in data-driven climate emulators: conceptual limitations and the role of reduced-order models
(2025)
Fabrizio Falasca
1.28
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era
(2025)
Nima Dehghani
1.22
Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps
(2024)
Asif Hamid et al.
0.72
Thermodynamic AI and the fluctuation frontier
(2023)
Patrick J. Coles et al.
β
Stability analysis of chaotic systems in latent spaces
(2024)
Elise \"Ozalp and Luca Magri
β