no code implementations • 11 Jul 2023 • Germán Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe Gagnon-Audet, Pablo Polosecki, Irina Rish, Silvina Ponce Dawson, Guillermo Cecchi, Guillaume Dumas
Scientific Machine Learning (SciML) is a burgeoning field that synergistically combines domain-aware and interpretable models with agnostic machine learning techniques.
no code implementations • 24 May 2018 • German Abrevaya, Irina Rish, Aleksandr Y. Aravkin, Guillermo Cecchi, James Kozloski, Pablo Polosecki, Peng Zheng, Silvina Ponce Dawson, Juliana Rhee, David Cox
Many real-world data sets, especially in biology, are produced by complex nonlinear dynamical systems.