:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Papavasileiou, Paris, Giovanis, Dimitrios G., Pozzetti, Gabriele, Kathrein, Martin, Czettl, Christoph, Kevrekidis, Ioannis G., Boudouvis, Andreas G., Bordas, Stéphane P. A., Koronaki, Eleni D.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2405.07751
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis
by: Suntaxi, Geremy Loachamín, et al.
Published: (2024)

Implementing NLPs in industrial process modeling: Addressing Categorical Variables
by: Koronaki, Eleni D., et al.
Published: (2024)

Data-driven inverse uncertainty quantification: application to the Chemical Vapor Deposition Reactor Modeling
by: Loachamín, Geremy, et al.
Published: (2025)

Learning to Choose: An Empowerment-Guided Multi-Agent System with semantic communication for Adaptive Method Selection
by: Loachamín-Suntaxi, Geremy, et al.
Published: (2026)

Conformal Disentanglement: A Neural Framework for Perspective Synthesis and Differentiation
by: Kevrekidis, George A., et al.
Published: (2024)

Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification
by: Giovanis, Dimitris G., et al.
Published: (2024)

Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig example
by: Evangelou, Nikolaos, et al.
Published: (2023)

Nonlinear manifold learning determines microgel size from Raman spectroscopy
by: Eleni D. Koronaki, et al.
Published: (2024)

Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps
by: Giovanis, Dimitris G, et al.
Published: (2025)

Generative Learning of Densities on Manifolds
by: Giovanis, Dimitris G., et al.
Published: (2025)

Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy
by: Koronaki, Eleni D., et al.
Published: (2024)

Data-Driven, ML-assisted Approaches to Problem Well-Posedness
by: Bertalan, Tom, et al.
Published: (2025)

CFD Modelling and Sensitivity-Guided Design of Silicon Filament CVD Reactors
by: Gakis, G. P., et al.
Published: (2025)

CFD modeling and sensitivity‐guided design of silicon filament CVD reactors
by: G. P. Gakis, et al.
Published: (2026)

On Some Tunable Multi-fidelity Bayesian Optimization Frameworks
by: Manoj, Arjun, et al.
Published: (2025)

Conformalized Polynomial Chaos Expansion for Uncertainty-aware Surrogate Modeling
by: Loukrezis, Dimitrios, et al.
Published: (2025)

On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them
by: Sroczynski, David W., et al.
Published: (2024)

Generative Learning for Slow Manifolds and Bifurcation Diagrams
by: Crabtree, Ellis R., et al.
Published: (2025)

Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach
by: Patsatzis, Dimitrios G., et al.
Published: (2022)

Finite subgroups of automorphisms of free products
by: Papavasileiou, Ioannis, et al.
Published: (2023)

A Mechanistic Analysis of Transformers for Dynamical Systems
by: Duthé, Gregory, et al.
Published: (2025)

Global graph features unveiled by unsupervised geometric deep learning
by: Granfors, Mirja, et al.
Published: (2025)

Invariant Manifolds of Discrete-time Dynamical Systems with Nonlinear Exosystems via Hybrid Physics-Informed Neural Networks
by: Patsatzis, Dimitrios G., et al.
Published: (2025)

Millennials' identity in hospitality and tourism: A systematic review with qualitative framework synthesis
by: Emmanouil F. Papavasileiou, et al.
Published: (2024)

Multi-hump Collapsing Solutions in the Nonlinear Schr{ö}dinger Problem: Existence, Stability and Dynamics
by: Chapman, Jon S., et al.
Published: (2025)

RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators
by: Fabiani, Gianluca, et al.
Published: (2024)

Next Generation Equation-Free Multiscale Modelling of Crowd Dynamics via Machine Learning
by: Alvarez, Hector Vargas, et al.
Published: (2025)

Surveilling masses and unveiling human rights
by: Kosta, Eleni
Published: (2020)

Dictionary learning for Kernel EDMD
by: Bolager, Erik Lien, et al.
Published: (2026)

Neural network-based singularity detection and applications
by: Derevianko, Nadiia, et al.
Published: (2025)

Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators
by: Fabiani, Gianluca, et al.
Published: (2025)

PainleveBacklundCheck: A Sympy-powered Kivy app for the Painlevé property of nonlinear dispersive PDEs and auto-Bäcklund transformations
by: Mohapatra, Shrohan, et al.
Published: (2024)

Comparing analytic and data-driven approaches to parameter identifiability: A power systems case study
by: Evangelou, Nikolaos, et al.
Published: (2024)

An iterated learning model of language change that mixes supervised and unsupervised learning
by: Bunyan, Jack, et al.
Published: (2024)

Guided Wave-Based Structural Awareness Under Varying Operating States via Manifold Representations
by: Fan, Yiming, et al.
Published: (2025)

Tratamento endodôntico em molar em forma de "C"
by: Kathrein Tapia da SILVA
Published: (2010)

Neural Chaos: A Spectral Stochastic Neural Operator
by: Bahmani, Bahador, et al.
Published: (2025)

Global Bifurcations in a Damped-Driven Diatomic Granular Crystal
by: Pozharskiy, D., et al.
Published: (2024)

Long-term foehn reconstruction combining unsupervised and supervised learning
by: Stauffer, Reto, et al.
Published: (2024)

Protokolle des Ministerrates der Ersten Republik, Kabinett Dr. Kurt Schuschnigg, Band 8 (4. Juni 1937 – 21. Februar 1938)
by: Enderle-Burcel, Gertrude, et al.
Published: (2015)