Zero-shot forecasting of chaotic systems
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yuanzhao, Gilpin, William |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning
by: Zhang, Yuanzhao, et al.
Published: (2025)
by: Zhang, Yuanzhao, et al.
Published: (2025)
Panda: A pretrained forecast model for chaotic dynamics
by: Lai, Jeffrey, et al.
Published: (2025)
by: Lai, Jeffrey, et al.
Published: (2025)
Generative learning for nonlinear dynamics
by: Gilpin, William
Published: (2023)
by: Gilpin, William
Published: (2023)
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing
by: Norton, Declan A., et al.
Published: (2025)
by: Norton, Declan A., et al.
Published: (2025)
Transformers for dynamical systems learn transfer operators in-context
by: Bao, Anthony, et al.
Published: (2026)
by: Bao, Anthony, et al.
Published: (2026)
Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics
by: Ahmed, Osama, et al.
Published: (2024)
by: Ahmed, Osama, et al.
Published: (2024)
Robust quantum reservoir computers for forecasting chaotic dynamics: generalized synchronization and stability
by: Ahmed, Osama, et al.
Published: (2025)
by: Ahmed, Osama, et al.
Published: (2025)
Recurrences reveal shared causal drivers of complex time series
by: Gilpin, William
Published: (2023)
by: Gilpin, William
Published: (2023)
Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems
by: Heidenreich, Hunter S., et al.
Published: (2024)
by: Heidenreich, Hunter S., et al.
Published: (2024)
Stability analysis of chaotic systems in latent spaces
by: Özalp, Elise, et al.
Published: (2024)
by: Özalp, Elise, et al.
Published: (2024)
Inferring stability properties of chaotic systems on autoencoders' latent spaces
by: Özalp, Elise, et al.
Published: (2024)
by: Özalp, Elise, et al.
Published: (2024)
Inferring bifurcation diagrams of two distinct chaotic systems by a single machine
by: Guo, Jianmin, et al.
Published: (2026)
by: Guo, Jianmin, et al.
Published: (2026)
Universal replication of chaotic characteristics by classical and quantum machine learning
by: Bai, Sheng-Chen, et al.
Published: (2024)
by: Bai, Sheng-Chen, et al.
Published: (2024)
Learning finite symmetry groups of dynamical systems via equivariance detection
by: Calvo-Barlés, Pablo, et al.
Published: (2025)
by: Calvo-Barlés, Pablo, et al.
Published: (2025)
Temporal horizons in forecasting: a performance-learnability trade-off
by: Aceituno, Pau Vilimelis, et al.
Published: (2025)
by: Aceituno, Pau Vilimelis, et al.
Published: (2025)
Storage and selection of multiple chaotic attractors in minimal reservoir computers
by: Martinuzzi, Francesco, et al.
Published: (2026)
by: Martinuzzi, Francesco, et al.
Published: (2026)
Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble
by: Bocquet, Marc, et al.
Published: (2024)
by: Bocquet, Marc, et al.
Published: (2024)
Predicting two-dimensional spatiotemporal chaotic patterns with optimized high-dimensional hybrid reservoir computing
by: Nakano, Tamon, et al.
Published: (2025)
by: Nakano, Tamon, et al.
Published: (2025)
Mamba time series forecasting with uncertainty quantification
by: Pessoa, Pedro, et al.
Published: (2025)
by: Pessoa, Pedro, et al.
Published: (2025)
Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck
by: Murphy, Kieran A., et al.
Published: (2023)
by: Murphy, Kieran A., et al.
Published: (2023)
Cyclic image generation using chaotic dynamics
by: Tanaka, Takaya, et al.
Published: (2024)
by: Tanaka, Takaya, et al.
Published: (2024)
Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems
by: Ramachandruni, Vasista, et al.
Published: (2025)
by: Ramachandruni, Vasista, et al.
Published: (2025)
GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes
by: Wang, Mengze, et al.
Published: (2025)
by: Wang, Mengze, et al.
Published: (2025)
Tailored Forecasting from Short Time Series via Meta-learning
by: Norton, Declan A., et al.
Published: (2025)
by: Norton, Declan A., et al.
Published: (2025)
Beyond Static Models: Hypernetworks for Adaptive and Generalizable Forecasting in Complex Parametric Dynamical Systems
by: Vlachas, Pantelis R., et al.
Published: (2025)
by: Vlachas, Pantelis R., et al.
Published: (2025)
Phase space geometry of a Four-wings chaotic attractor
by: Patra, Tanmayee, et al.
Published: (2025)
by: Patra, Tanmayee, et al.
Published: (2025)
Optimization hardness constrains ecological transients
by: Gilpin, William
Published: (2024)
by: Gilpin, William
Published: (2024)
Invariant Measures in Time-Delay Coordinates for Unique Dynamical System Identification
by: Botvinick-Greenhouse, Jonah, et al.
Published: (2024)
by: Botvinick-Greenhouse, Jonah, et al.
Published: (2024)
Sparse identification of quasipotentials via a combined data-driven method
by: Lin, Bo, et al.
Published: (2024)
by: Lin, Bo, et al.
Published: (2024)
Data-Driven Reduced-Complexity Modeling of Fluid Flows: A Community Challenge
by: Schmidt, Oliver T., et al.
Published: (2026)
by: Schmidt, Oliver T., et al.
Published: (2026)
Dynamic multiphase flow triggers chaotic mixing in porous media
by: Linga, Gaute, et al.
Published: (2026)
by: Linga, Gaute, et al.
Published: (2026)
Learning more physically realistic dynamics in machine-learning based weather forecasting with latent-space constraints
by: Fan, Hang, et al.
Published: (2025)
by: Fan, Hang, et al.
Published: (2025)
Thermalization of closed chaotic many-body quantum systems
by: Weidenmüller, Hans A.
Published: (2023)
by: Weidenmüller, Hans A.
Published: (2023)
Limits to extreme event forecasting in chaotic systems
by: Yuan, Yuan, et al.
Published: (2024)
by: Yuan, Yuan, et al.
Published: (2024)
Hierarchy of extreme-event predictability in turbulence revealed by machine learning
by: Yang, Yuxuan, et al.
Published: (2026)
by: Yang, Yuxuan, et al.
Published: (2026)
Chaotic resetting: A resetting strategy for deterministic chaotic systems
by: Cantisán, Julia, et al.
Published: (2026)
by: Cantisán, Julia, et al.
Published: (2026)
Observable-manifested correlations in many-body quantum chaotic systems
by: Wang, Xiao, et al.
Published: (2025)
by: Wang, Xiao, et al.
Published: (2025)
Periodicity of chaotic solutions
by: Berezowski, Marek, et al.
Published: (2016)
by: Berezowski, Marek, et al.
Published: (2016)
Van Hove singularities in the density of states of a chaotic dynamical system
by: Davies, Bryn
Published: (2024)
by: Davies, Bryn
Published: (2024)
Regularization of ML models for Earth systems by using longer model timesteps
by: Parthipan, Raghul, et al.
Published: (2025)
by: Parthipan, Raghul, et al.
Published: (2025)
Similar Items
-
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning
by: Zhang, Yuanzhao, et al.
Published: (2025) -
Panda: A pretrained forecast model for chaotic dynamics
by: Lai, Jeffrey, et al.
Published: (2025) -
Generative learning for nonlinear dynamics
by: Gilpin, William
Published: (2023) -
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing
by: Norton, Declan A., et al.
Published: (2025) -
Transformers for dynamical systems learn transfer operators in-context
by: Bao, Anthony, et al.
Published: (2026)