:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Loachamín-Suntaxi, Geremy, Lazar, Robert, Giovanis, Dimitrios G., Kevrekidis, Ioannis G., Koronaki, Eleni D.
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.30042
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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)

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

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

Integrating supervised and unsupervised learning approaches to unveil critical process inputs
by: Papavasileiou, Paris, 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)

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

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

On the fractional approach to quadratic nonlinear parabolic systems
by: Jarrin, Oscar, et al.
Published: (2024)

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

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

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

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

Data-Driven, ML-assisted Approaches to Problem Well-Posedness
by: Bertalan, Tom, 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)

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

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

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)

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

A Mechanistic Analysis of Transformers for Dynamical Systems
by: Duthé, Gregory, 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)

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

Aplicación del Proceso de Deformación Incremental para el conformado de Chapas de Aluminio 1200 H14
by: Carlos Suntaxi
Published: (2019)

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

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

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

Inclusión de nuevas herramientas digitales en la comunicación comunitaria: comunas de Olón y Cadeate, provincia de Santa Elena, Ecuador
by: Martha Suntaxi Andrade
Published: (2023)

Habilidades y estrategias para el posicionamiento de marca en la plataforma TikTok durante la segunda vuelta electoral en Ecuador (2023)
by: Martha Suntaxi Andrade
Published: (2025)

A Physics-informed Multi-resolution Neural Operator
by: Roy, Sumanta, et al.
Published: (2025)

Optimal Transport, Timesteppers, Newton-Krylov Methods and Steady States of Collective Particle Dynamics
by: Vandecasteele, Hannes, et al.
Published: (2025)

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

Learning Parametric Koopman Decompositions for Prediction and Control
by: Guo, Yue, et al.
Published: (2023)

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

BumpNet: A Sparse MLP Framework for Learning PDE Solutions
by: Chiu, Shao-Ting, et al.
Published: (2025)

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

Fast-Slow Neural Networks for Learning Singularly Perturbed Dynamical Systems
by: Serino, Daniel A., et al.
Published: (2024)

Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
by: Fabiani, Gianluca, et al.
Published: (2025)

A Resolution Independent Neural Operator
by: Bahmani, Bahador, et al.
Published: (2024)

Virtual reality and mental imagery towards travel inspiration and visit intention
by: Ioannis Assiouras, et al.
Published: (2024)