:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Fernandez-Navamuel, Ana, Viera, Martin Alberto Diaz, Croci, Matteo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computational Engineering, Finance, and Science G.3; J.6
Accesso online:	https://arxiv.org/abs/2510.02013
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Neural Markov chain Monte Carlo: Bayesian inversion via normalizing flows and variational autoencoders
di: Bottacini, Giacomo, et al.
Pubblicazione: (2026)

Drivetrain simulation using variational autoencoders
di: Sharma, Pallavi, et al.
Pubblicazione: (2025)

Shape uncertainty quantification of Maxwell eigenvalues and -modes with application to TESLA cavities
di: Dölz, Jürgen, et al.
Pubblicazione: (2024)

Limits of isotropic damage models for complex load paths -- beyond stress triaxiality and Lode angle parameter
di: Feike, K., et al.
Pubblicazione: (2024)

Bayesian estimation and uncertainty quantification of a temperature-dependent thermal conductivity
di: Silva, Rodrigo L. S., et al.
Pubblicazione: (2024)

The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach
di: Bešinović, Nikola, et al.
Pubblicazione: (2024)

A topology optimisation framework to design test specimens for one-shot identification or discovery of material models
di: Ghouli, Saeid, et al.
Pubblicazione: (2025)

Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing
di: Chiappetta, Mihaela, et al.
Pubblicazione: (2023)

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design
di: Partovizadeh, Aylar, et al.
Pubblicazione: (2024)

Towards uncertainty quantification of a model for cancer-on-chip experiments
di: Bertoluzza, Silvia, et al.
Pubblicazione: (2026)

Efficient damage simulations under material uncertainties in a weakly-intrusive implementation
di: Geisler, Hendrik, et al.
Pubblicazione: (2024)

Embedded Model Form Uncertainty Quantification with Measurement Noise for Bayesian Model Calibration
di: Arcones, Daniel Andrés, et al.
Pubblicazione: (2024)

A Reduced Order Model conditioned on monitoring features for estimation and uncertainty quantification in engineered systems
di: Vlachas, Konstantinos, et al.
Pubblicazione: (2024)

Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification
di: Loukrezis, Dimitrios, et al.
Pubblicazione: (2023)

Bayesian Tendon Breakage Localization under Model Uncertainty Using Distributed Fiber Optic Sensors
di: Arcones, Daniel Andrés, et al.
Pubblicazione: (2026)

Using adjoint CFD to quantify the impact of manufacturing variations on a heavy duty turbine vane
di: Liefke, Alexander, et al.
Pubblicazione: (2019)

Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals
di: Curbelo, E., et al.
Pubblicazione: (2025)

Radon Exposure Dataset
di: Maguire, Dakotah, et al.
Pubblicazione: (2025)

Extension of graph-accelerated non-intrusive polynomial chaos to high-dimensional uncertainty quantification through the active subspace method
di: Wang, Bingran, et al.
Pubblicazione: (2024)

Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules for uncertainty quantification
di: Wang, Bingran, et al.
Pubblicazione: (2024)

A Diffusion MRI model for axonal damage quantification based on axial diffusivity reduction in axons: a Monte Carlo simulation study
di: Sharma, Nand
Pubblicazione: (2024)

A new unified arc-length method for damage mechanics problems
di: Saji, Roshan Philip, et al.
Pubblicazione: (2023)

Application of association rule mining to assess forest species distribution in Italy considering abiotic and biotic factors
di: Aloisi, Valeria, et al.
Pubblicazione: (2025)

Finding Pathways in Reaction Networks guided by Energy Barriers using Integer Linear Programming
di: Pal, Adittya, et al.
Pubblicazione: (2025)

UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engression
di: Gao, Mars Liyao, et al.
Pubblicazione: (2026)

A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing
di: Wang, Bingran, et al.
Pubblicazione: (2025)

Mixed-precision numerics in scientific applications: survey and perspectives
di: Kashi, Aditya, et al.
Pubblicazione: (2024)

VENI, VINDy, VICI: a generative reduced-order modeling framework with uncertainty quantification
di: Conti, Paolo, et al.
Pubblicazione: (2024)

Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences
di: Rubio, Natalia L., et al.
Pubblicazione: (2024)

Stablecoins as Dry Powder: A Copula-Based Risk Analysis of Cryptocurrency Markets
di: Jones, Elliot, et al.
Pubblicazione: (2026)

Data-Driven Temperature Modelling of Machine Tools by Neural Networks: A Benchmark
di: Coelho, C., et al.
Pubblicazione: (2025)

WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
di: Yin, Ziyi, et al.
Pubblicazione: (2024)

Quantformer: from attention to profit with a quantitative transformer trading strategy
di: Zhang, Zhaofeng, et al.
Pubblicazione: (2024)

Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic Models
di: Wu, Yuntao, et al.
Pubblicazione: (2024)

Projection-based model-order reduction via graph autoencoders suited for unstructured meshes
di: Magargal, Liam K., et al.
Pubblicazione: (2024)

An anisotropic, brittle damage model for finite strains with a generic damage tensor regularization
di: van der Velden, Tim, et al.
Pubblicazione: (2024)

Real-time topology optimization via learnable mappings
di: Garayalde, Gabriel, et al.
Pubblicazione: (2023)

A geometry-aligned multi-fidelity framework for uncertainty quantification of wildfire spread
di: Vogiatzoglou, Konstantinos, et al.
Pubblicazione: (2026)

Neural network based approach for solving problems in plane wave duct acoustics
di: Veerababu, D., et al.
Pubblicazione: (2024)

GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial Fraud Detection
di: Kadam, Prashank
Pubblicazione: (2024)