7 papers
CheMLFlow: An Open-Source Platform for Cheminformatics and Materials Informatics Applications
Brendan Smith, Susana Lopez-Moreno, Eric Dolores-Cuenca +3
CheMLFlow is an open-source platform for building and executing end-to-end, high-throughput, and agentic workflows for scientific and technological applications. CheMLFlow targets…
PCA-Enhanced Adaptive NVAR Framework for High-Resolution Sea Surface Temperature Forecasting in the East Sea
Sherkhon Azimov, Susana López-Moreno, Eric Dolores-Cuenca +2
Accurate forecasting of sea surface temperature (SST) in regional seas such as the East Sea is crucial for monitoring marine ecosystems, assessing climate risks, managing fisheries…
Operad of posets 101: The Wixárika posets
José Antonio Arciniega-Nevárez, Marko Berghoff, Eric Rubiel Dolores-Cuenca
We study classes of objects whose combinatorics are closely related to those of posets. The framework of operads and operad algebras allows us to make this relationship precise and…
Standardization of Post-Publication Code Verification by Journals is Possible with the Support of the Community
Susana Lopez-Moreno, Eric Dolores-Cuenca, Sangil Kim
Reproducibility remains a challenge in machine learning research. While code and data availability requirements have become increasingly common, post-publication verification in jo…
Adaptive Nonlinear Vector Autoregression: Robust Forecasting for Noisy Chaotic Time Series
Azimov Sherkhon, Susana Lopez-Moreno, Eric Dolores-Cuenca +2
Nonlinear vector autoregression (NVAR) and reservoir computing (RC) have shown promise in forecasting chaotic dynamical systems, such as the Lorenz-63 model and El Nino-Southern Os…
Order Theory in the Context of Machine Learning
Eric Dolores-Cuenca, Aldo Guzman-Saenz, Sangil Kim +2
The paper ``Tropical Geometry of Deep Neural Networks'' by L. Zhang et al. introduces an equivalence between integer-valued neural networks (IVNN) with and tropic…