Author

Sangil Kim

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#machine learning Jun 2026

PCA-Enhanced Adaptive NVAR Framework for High-Resolution Sea Surface Temperature Forecasting in the East Sea

The proposed reduced-order framework is evaluated using autonomous rolling forecasts up to a 90-day horizon and compared with Standard NVAR (Next Generation Reservoir Computing) and a Persistence baseline, achieving up to 96.52% improvement in mean squared error relative to Persistence while maintaining stable predicti...

Sherkhon Azimov, S. López-Moreno, E. Dolores-Cuenca et al. · arXiv.org · 0 citations

#artificial intelligence Jul 2025

Adaptive Nonlinear Vector Autoregression: Robust Forecasting for Noisy Chaotic Time Series

A data-adaptive NVAR model that combines delay-embedded linear inputs with features generated by a shallow, trainable multilayer perceptron (MLP) is proposed, enabling the model to learn data-driven nonlinearities, while preserving a simple readout structure and improving scalability.

Sherkhon Azimov, S. López-Moreno, E. Dolores-Cuenca et al. · arXiv.org · 2 citations

Preprint Aug 2026

CheMLFlow: An Open-Source Platform for Cheminformatics and Materials Informatics Applications

The system architecture, core workflows, and benchmarks that reach literature performance for quantum mechanical, physicochemical and bioactivity property prediction, and use cases involving time series datasets demonstrating applications beyond molecular chemistry datasets are described.

Brendan Smith, S. López-Moreno, E. Dolores-Cuenca et al. · 0 citations