Eleni D. Koronaki

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Data-Driven, ML-assisted Approaches to Problem Well-Posedness. CoRR Tom Bertalan, George A. Kevrekidis, Eleni D. Koronaki, Siddhartha Mishra, Elizaveta Rebrova, Yannis G. Kevrekidis
2025	J	`jnl`	Implementing NLP in industrial process modeling: Addressing categorical variables. Comput. Chem. Eng. Eleni D. Koronaki, Geremy Loachamín Suntaxi, Paris Papavasileiou, Dimitrios G. Giovanis, Martin Kathrein, Christoph Czettl, Andreas G. Boudouvis, Stéphane P. A. Bordas
2025	J	`jnl`	Integrating supervised and unsupervised learning approaches to unveil critical process inputs. Comput. Chem. Eng. Paris Papavasileiou, Dimitrios G. Giovanis, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Ioannis G. Kevrekidis, Andreas G. Boudouvis, Stéphane P. A. Bordas, Eleni D. Koronaki
2024	J	`jnl`	Conformal Disentanglement: A Neural Framework for Perspective Synthesis and Differentiation. CoRR George A. Kevrekidis, Eleni D. Koronaki, Yannis G. Kevrekidis
2024	J	`jnl`	Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis. CoRR Geremy Loachamín Suntaxi, Paris Papavasileiou, Eleni D. Koronaki, Dimitrios G. Giovanis, Georgios Gakis, Ioannis G. Aviziotis, Martin Kathrein, Gabriele Pozzetti, Christoph Czettl, Stéphane P. A. Bordas, Andreas G. Boudouvis
2024	J	`jnl`	Implementing LLMs in industrial process modeling: Addressing Categorical Variables. CoRR Eleni D. Koronaki, Geremy Loachamín Suntaxi, Paris Papavasileiou, Dimitrios G. Giovanis, Martin Kathrein, Andreas G. Boudouvis, Stéphane P. A. Bordas
2024	J	`jnl`	Integrating supervised and unsupervised learning approaches to unveil critical process inputs. CoRR Paris Papavasileiou, Dimitrios G. Giovanis, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Ioannis G. Kevrekidis, Andreas G. Boudouvis, Stéphane P. A. Bordas, Eleni D. Koronaki
2024	J	`jnl`	Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy. CoRR Eleni D. Koronaki, Luise F. Kaven, Johannes M. M. Faust, Ioannis G. Kevrekidis, Alexander Mitsos
2024	J	`jnl`	Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era. J. Comput. Phys. Eleni D. Koronaki, Nikolaos Evangelou, Cristina P. Martin-Linares, Edriss S. Titi, Ioannis G. Kevrekidis
2024	J	`jnl`	On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. CoRR David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis
2023	J	`jnl`	Equation-based and data-driven modeling strategies for industrial coating processes. Comput. Ind. Paris Papavasileiou, Eleni D. Koronaki, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Andreas G. Boudouvis, Stéphane P. A. Bordas
2023	J	`jnl`	From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics. CoRR Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis
2023	J	`jnl`	From partial data to out-of-sample parameter and observation estimation with diffusion maps and geometric harmonics. Comput. Chem. Eng. Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis
2023	J	`jnl`	Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era. CoRR Eleni D. Koronaki, Nikolaos Evangelou, Cristina P. Martin-Linares, Edriss S. Titi, Ioannis G. Kevrekidis
2023	J	`jnl`	Physics-agnostic and Physics-infused machine learning for thin films flows: modeling, and predictions from small data. CoRR Cristina P. Martin-Linares, Yorgos M. Psarellis, Georgios Karapetsas, Eleni D. Koronaki, Ioannis G. Kevrekidis