{"total":21,"rows":[{"id":"2409.15771","title":"Zero-shot forecasting of chaotic systems","created":"2024-09-24","cited_by_count":28,"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":"2410.04814","title":"Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data","created":"2024-10-07","cited_by_count":15,"area":null},{"id":"2603.21669","title":"PRM-as-a-Judge: A Dense Evaluation Paradigm for Fine-Grained Robotic Auditing","created":"2026-03-23","cited_by_count":9,"area":null},{"id":"2503.03038","title":"Generative assimilation and prediction for weather and climate","created":"2025-03-04","cited_by_count":8,"area":null},{"id":"2504.14264","title":"Generative emulation of chaotic dynamics with coherent prior","created":"2025-04-19","cited_by_count":7,"area":null},{"id":"2512.00762","title":"Seeing the Wind from a Falling Leaf","created":"2025-11-30","cited_by_count":7,"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":"2602.15649","title":"Continuous-Time Piecewise-Linear Recurrent Neural Networks","created":"2026-02-17","cited_by_count":4,"area":null},{"id":"2608.14284","title":"PRM-as-a-Judge 1.5: A Toolkit for Robot Process Assessment","created":"2026-08-14","cited_by_count":3,"area":null},{"id":"2505.14828","title":"Deep Koopman operator framework for causal discovery in nonlinear dynamical systems","created":"2025-05-20","cited_by_count":2,"area":null},{"id":"2507.06050","title":"Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics","created":"2025-07-08","cited_by_count":2,"area":null},{"id":"2509.12080","title":"A Time-Series Foundation Model by Universal Delay Embedding","created":"2025-09-15","cited_by_count":2,"area":null},{"id":"2410.21025","title":"Physics-informed Partitioned Coupled Neural Operator for Complex Networks","created":"2024-10-28","cited_by_count":1,"area":null},{"id":"2512.04566","title":"Reliable Statistical Guarantees for Conformal Predictors with Small Datasets","created":"2025-12-04","cited_by_count":1,"area":null},{"id":"2401.12196","title":"Learning Dynamics from Multicellular Graphs with Deep Neural Networks","created":"2024-01-22","cited_by_count":0,"area":null},{"id":"2501.17653","title":"Drivetrain simulation using variational autoencoders","created":"2025-01-29","cited_by_count":0,"area":null},{"id":"2510.03426","title":"Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation","created":"2025-10-03","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":"2606.22969","title":"Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2607.17909","title":"Beyond the Edge of Chaos: Stability-Expressivity Transfer in Reservoir Forecasting","created":"2026-07-20","cited_by_count":0,"area":null}],"next_cursor":null}