Luca Magri

CoRR, 2024

Stability analysis of chaotic systems in latent spaces.

[BibT_eX]

[DOI]

CoRR, 2024

Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics.

[BibT_eX]

[DOI]

Osama Ahmed

Felix Tennie

CoRR, 2024

Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network.

[BibT_eX]

[DOI]

Yaxin Mo

CoRR, 2024

Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data.

[BibT_eX]

[DOI]

Yaxin Mo

CoRR, 2024

Computing distances and means on manifolds with a metric-constrained Eikonal approach.

[BibT_eX]

[DOI]

CoRR, 2024

Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations.

[BibT_eX]

[DOI]

CoRR, 2024

An Expert-Driven Data Generation Pipeline for Histological Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Enhancing Manufacturing with AI-powered Process Design.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Adjoint Sensitivities of Chaotic Flows Without Adjoint Solvers: A Data-Driven Approach.

[BibT_eX]

[DOI]

Defne Ege Ozan

Proceedings of the Computational Science - ICCS 2024, 2024

Revisiting Calibration of Wide-Angle Radially Symmetric Cameras.

[BibT_eX]

[DOI]

Francesco Azzoni

Proceedings of the Computer Vision - ECCV 2024, 2024

Minimal Perspective Autocalibration.

[BibT_eX]

[DOI]

Timothy Duff

Tomás Pajdla

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Multimodal Batch-Wise Change Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds.

[BibT_eX]

[DOI]

CoRR, 2023

Control-aware echo state networks (Ca-ESN) for the suppression of extreme events.

[BibT_eX]

[DOI]

CoRR, 2023

Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach.

[BibT_eX]

[DOI]

CoRR, 2023

Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach.

[BibT_eX]

[DOI]

CoRR, 2023

A machine learning approach to the prediction of heat-transfer coefficients in micro-channels.

[BibT_eX]

[DOI]

Francesco Coletti

Tassos G. Karayiannis

Omar K. Matar

CoRR, 2023

Short and Straight: Geodesics on Differentiable Manifolds.

[BibT_eX]

[DOI]

CoRR, 2023

Reconstruction, forecasting, and stability of chaotic dynamics from partial data.

[BibT_eX]

[DOI]

Georgios Margazoglou

CoRR, 2023

Hashing for Structure-Based Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Multi-body Depth and Camera Pose Estimation from Multiple Views.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos.

[BibT_eX]

[DOI]

Georgios Margazoglou

Proceedings of the Computational Science - ICCS 2023, 2023

Data-Driven Stability Analysis of a Chaotic Time-Delayed System.

[BibT_eX]

[DOI]

Georgios Margazoglou

Proceedings of the Computational Science - ICCS 2023, 2023

Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2023, 2023

Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model.

[BibT_eX]

[DOI]

Nikolaos Bempedelis

Proceedings of the Computational Science - ICCS 2023, 2023

Anomaly Detection in Optical Spectra VIA Joint Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Event Detection in Optical Signals via Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

Quantum Multi-Model Fitting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Known and unknown event detection in OTDR traces by deep learning networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Special issue on deep learning modeling in real life: anomaly detection, biomedical, concept analysis, finance, image analysis, recommendation.

[BibT_eX]

[DOI]

Lazaros Iliadis

Neural Comput. Appl., 2022

Modelling spatiotemporal turbulent dynamics with the convolutional autoencoder echo state network.

[BibT_eX]

[DOI]

CoRR, 2022

On interpretability and proper latent decomposition of autoencoders.

[BibT_eX]

[DOI]

CoRR, 2022

Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems.

[BibT_eX]

[DOI]

Georgios Rigas

CoRR, 2022

Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2022

A Physics-based Domain Adaptation framework for modelling and forecasting building energy systems.

[BibT_eX]

[DOI]

Zack Xuereb Conti

Ruchi Choudhary

CoRR, 2022

Data-driven prediction and control of extreme events in a chaotic flow.

[BibT_eX]

[DOI]

CoRR, 2022

Statistical Prediction of Extreme Events from Small Datasets.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2022, 2022

Multi-body Self-Calibration.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics.

[BibT_eX]

[DOI]

Neural Networks, 2021

Gradient-free optimization of chaotic acoustics with reservoir computing.

[BibT_eX]

[DOI]

Francisco Huhn

CoRR, 2021

Real-time thermoacoustic data assimilation.

[BibT_eX]

[DOI]

Andrea Nóvoa

CoRR, 2021

Short- and long-term prediction of a chaotic flow: A physics-constrained reservoir computing approach.

[BibT_eX]

[DOI]

CoRR, 2021

Synchronization of Group-labelled Multi-graphs.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Automatic-differentiated Physics-Informed Echo State Network (API-ESN).

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2021, 2021

Auto-Encoded Reservoir Computing for Turbulence Learning.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2021, 2021

MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection.

[BibT_eX]

[DOI]

Filippo Leveni

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Physics-informed echo state networks.

[BibT_eX]

[DOI]

J. Comput. Sci., 2020

PIF: Anomaly detection via preference embedding.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Motion Segmentation with Pairwise Matches and Unknown Number of Motions.

[BibT_eX]

[DOI]

Federica Arrigoni

Tomás Pajdla

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Ergodic Averages in Chaotic Systems.

[BibT_eX]

[DOI]

Francisco Huhn

Proceedings of the Computational Science - ICCS 2020, 2020

Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2020, 2020

On the Usage of the Trifocal Tensor in Motion Segmentation.

[BibT_eX]

[DOI]

Federica Arrigoni

Tomás Pajdla

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Critical Loci for Two Views Reconstruction as Quadratic Transformations Between Images.

[BibT_eX]

[DOI]

Marina Bertolini

Cristina Turrini

J. Math. Imaging Vis., 2019

Combined state and parameter estimation in level-set methods.

[BibT_eX]

[DOI]

Hans Yu

Matthew P. Juniper

J. Comput. Phys., 2019

Adjoint characteristic decomposition of one-dimensional waves.

[BibT_eX]

[DOI]

J. Comput. Phys., 2019

A physics-aware machine to predict extreme events in turbulence.

[BibT_eX]

[DOI]

CoRR, 2019

Data assimilation in a nonlinear time-delayed dynamical system.

[BibT_eX]

[DOI]

CoRR, 2019

Data Assimilation in a Nonlinear Time-Delayed Dynamical System with Lagrangian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2019, 2019

Physics-Informed Echo State Networks for Chaotic Systems Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2019, 2019

Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Multiple structure recovery with maximum coverage.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2018

Reconstruction of Interior Walls from Point Cloud Data with Min-Hashed J-Linkage.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Multiple structure recovery with T-linkage.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2017

Adjoint-based sensitivity analysis of low-order thermoacoustic networks using a wave-based approach.

[BibT_eX]

[DOI]

José G. Aguilar

Matthew P. Juniper

J. Comput. Phys., 2017

Multiple structure recovery via robust preference analysis.

[BibT_eX]

[DOI]

Image Vis. Comput., 2017

A Matrix Decomposition Perspective on Calibrated Photometric Stereo.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

2016

Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification.

[BibT_eX]

[DOI]

J. Comput. Phys., 2016

Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity.

[BibT_eX]

[DOI]

Michael Bauerheim

Matthew P. Juniper

J. Comput. Phys., 2016

Multiple Structure Recovery via Probabilistic Biclustering.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Multiple Models Fitting as a Set Coverage Problem.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Fitting Multiple Models via Density Analysis in Tanimoto Space.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

J-DFA: A Novel Approach for Robust Differential Fault Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2015 Workshop on Fault Diagnosis and Tolerance in Cryptography, 2015

Scale Estimation in Multiple Models Fitting via Consensus Clustering.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 2015

Robust Multiple Model Fitting with Preference Analysis and Low-rank Approximation.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2015, 2015

2014

T-Linkage: A Continuous Relaxation of J-Linkage for Multi-model Fitting.

[BibT_eX]

[DOI]