{"total":25,"rows":[{"id":"2409.15771","title":"Zero-shot forecasting of chaotic systems","created":"2024-09-24","cited_by_count":28,"area":null},{"id":"2304.04640","title":"NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems","created":"2023-04-10","cited_by_count":27,"area":null},{"id":"2505.13192","title":"True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics","created":"2025-05-19","cited_by_count":20,"area":null},{"id":"2505.11349","title":"Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning","created":"2025-05-16","cited_by_count":18,"area":null},{"id":"2505.13755","title":"Panda: A pretrained forecast model for chaotic dynamics","created":"2025-05-19","cited_by_count":13,"area":null},{"id":"2505.16620","title":"CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models","created":"2025-05-22","cited_by_count":8,"area":null},{"id":"2407.08641","title":"How more data can hurt: Instability and regularization in next-generation reservoir computing","created":"2024-07-11","cited_by_count":5,"area":null},{"id":"2407.20158","title":"Machine Learning for Predicting Chaotic Systems","created":"2024-07-29","cited_by_count":4,"area":null},{"id":"2602.16864","title":"Position: A Dynamical Systems Perspective is Needed to Advance Time Series Modeling","created":"2026-02-18","cited_by_count":4,"area":null},{"id":"2311.04896","title":"Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck","created":"2023-11-08","cited_by_count":3,"area":null},{"id":"2501.08640","title":"Quantum Reservoir Computing and Risk Bounds","created":"2025-01-15","cited_by_count":2,"area":null},{"id":"2506.05292","title":"Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing","created":"2025-06-05","cited_by_count":2,"area":null},{"id":"2507.01946","title":"Characterizing control between interacting subsystems with deep Jacobian estimation","created":"2025-07-02","cited_by_count":2,"area":null},{"id":"2505.16786","title":"FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting","created":"2025-05-22","cited_by_count":1,"area":null},{"id":"2506.10773","title":"Learning Chaotic Dynamics with Neuromorphic Network Dynamics","created":"2025-06-12","cited_by_count":1,"area":null},{"id":"2509.21802","title":"ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2505.04396","title":"Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast","created":"2025-05-07","cited_by_count":0,"area":null},{"id":"2505.17740","title":"A tensor network approach for chaotic time series prediction","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2507.21299","title":"Blending data and physics for reduced-order modeling of systems with spatiotemporal chaotic dynamics","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2603.07261","title":"Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2605.09676","title":"ChaosNetBench: Benchmarking Spatio-Temporal Graph Neural Networks on Chaotic Lattice Dynamics","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2605.20580","title":"Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2605.31438","title":"Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2607.14937","title":"A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2608.29057","title":"Sparse Koopman Autoencoders Identify Local Dynamical Regimes in Multibasin Systems","created":"2026-08-29","cited_by_count":0,"area":null}],"next_cursor":null}