Papers citing 'On the Parameter Combinations That Matter and on Those That do Not'

Title
On Some Tunable Multi-fidelity Bayesian Optimization Frameworks Arjun Manoj Anastasia S. Georgiou Dimitris G. Giovanis T. Sapsis Ioannis G. Kevrekidis 118 0 0 01 Aug 2025
Hierarchical Dimensionless Learning (Hi-π): A physics-data hybrid-driven approach for discovering dimensionless parameter combinations Mingkun Xia Haitao Lin Weiwei Zhang AI4CE 61 0 0 24 Jul 2025
Thinner Latent Spaces: Detecting Dimension and Imposing Invariance with Conformal Autoencoders George A. Kevrekidis Mauro Maggioni Mauro Maggioni Soledad Villar Yannis G. Kevrekidis DRL 200 1 0 28 Aug 2024
Identifiability of Differential-Algebraic Systems A. Montanari François Lamoline Robert Bereza Jorge Gonçalves 86 1 0 22 May 2024
Integrating supervised and unsupervised learning approaches to unveil critical process inputsComputers and Chemical Engineering (Comput. Chem. Eng.), 2024 Paris Papavasileiou Dimitrios G. Giovanis Gabriele Pozzetti M. Kathrein Christoph Czettl Ioannis G. Kevrekidis A. Boudouvis Stéphane P. A. Bordas E. D. Koronaki 84 4 0 13 May 2024
Nonlinear Manifold Learning Determines Microgel Size from Raman SpectroscopyAIChE Journal (AIChE J.), 2024 E. D. Koronaki Luise F. Kaven Johannes M. M. Faust Ioannis G. Kevrekidis Alexander Mitsos 74 1 0 13 Mar 2024
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective ModelingChaos (Chaos), 2023 N. Evangelou Tianqi Cui J. M. Bello-Rivas Alexei Makeev Ioannis G. Kevrekidis 214 3 0 01 Nov 2023
Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig examplePhysical Review E (PRE), 2023 N. Evangelou Dimitrios G. Giovanis George A. Kevrekidis G. Pavliotis Ioannis G. Kevrekidis 195 0 0 29 Oct 2023
Dimensionless machine learning: Imposing exact units equivarianceJournal of machine learning research (JMLR), 2022 Soledad Villar Weichi Yao D. Hogg Ben Blum-Smith Bianca Dumitrascu 195 30 0 02 Apr 2022