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Juan Nathaniel

2 accepted papers

2025

CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models

NeurIPS 2025poster

Causal discovery for dynamical systems poses a major challenge in fields where active interventions are infeasible. Most methods used to investigate these systems and their associated benchmarks are tailored to deterministic, low-dimensional and weakly nonlinear time-series data. To address these li…

Cited by 0SourcecodeScholar
2024

ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction

NeurIPS 2024oral

Accurate prediction of climate in the subseasonal-to-seasonal scale is crucial for disaster preparedness and robust decision making amidst climate change. Yet, forecasting beyond the weather timescale is challenging because it deals with problems other than initial condition, including boundary inte…