Publication

Information-driven transitions in projections of underdamped dynamics

Publications associées (27)

Spectral Estimators for High-Dimensional Matrix Inference

A key challenge across many disciplines is to extract meaningful information from data which is often obscured by noise. These datasets are typically represented as large matrices. Given the current trend of ever-increasing data volumes, with datasets grow ...

EPFL2024

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Jan Sickmann Hesthaven, Federico Pichi

The present work proposes a framework for nonlinear model order reduction based on a Graph Convolutional Autoencoder (GCA-ROM). In the reduced order modeling (ROM) context, one is interested in obtaining real -time and many-query evaluations of parametric ...

Academic Press Inc Elsevier Science2024

Interactive-time Exploration, Querying, and Analysis of Large High-dimensional Datasets

Sachin Basil John

In the current era of big data, aggregation queries on high-dimensional datasets are frequently utilized to uncover hidden patterns, trends, and correlations critical for effective business decision-making. Data cubes facilitate such queries by employing p ...

EPFL2023

Analysis of the influence of errors in DNA-based image coding

Touradj Ebrahimi, Michela Testolina, Davi Nachtigall Lazzarotto

In the last decade, DNA has been increasingly investigated as an alternative medium for cold data storage, presenting several advantages over standard hard drives such as a higher density, longer lifespan and lower energy consumption. However, such coding ...

2023

Sparse Autoencoders for Speech Modeling and Recognition

Selen Hande Kabil

Speech recognition-based applications upon the advancements in artificial intelligence play an essential role to transform most aspects of modern life. However, speech recognition in real-life conditions (e.g., in the presence of overlapping speech, varyin ...

EPFL2023

Damping of flexure blades based on bi-material additive manufacturing

Simon Nessim Henein, Florent Cosandier, Loïc Benoît Tissot-Daguette, Elias Sebastian Klauser, Florent Alexandre Boudoire, Nikola Kalentics, Nicolas Blondiaux, Lisa Salamin

Flexure-based mechanisms have become state-of-the-art solutions for the design of high-precision mechanisms, free from friction wear, backlash, and lubrication. These properties which are necessary for applications in ultraclean or harsh environments, neve ...

2023

Perspective Aware Road Obstacle Detection

Pascal Fua, Mathieu Salzmann, Krzysztof Maciej Lis, Sina Honari

While road obstacle detection techniques have become increasingly effective, they typically ignore the fact that, in practice, the apparent size of the obstacles decreases as their distance to the vehicle increases. In this letter, we account for this by c ...

2023

A machine learning approach to portfolio pricing and risk management for high-dimensional problems

Damir Filipovic

We present a general framework for portfolio risk management in discrete time, based on a replicating martingale. This martingale is learned from a finite sample in a supervised setting. Our method learns the features necessary for an effective low-dimensi ...

WILEY2022

HIERARCHICAL MARKOV CHAIN MONTE CARLO METHODS FOR BAYESIAN INVERSE PROBLEMS

Juan Pablo Madrigal Cianci

This thesis is devoted to the construction, analysis, and implementation of two types of hierarchical Markov Chain Monte Carlo (MCMC) methods for the solution of large-scale Bayesian Inverse Problems (BIP). The first hierarchical method we present is base ...

EPFL2022

Information-driven transitions in projections of underdamped dynamics

Spectral Estimators for High-Dimensional Matrix Inference

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Interactive-time Exploration, Querying, and Analysis of Large High-dimensional Datasets

Analysis of the influence of errors in DNA-based image coding

Sparse Autoencoders for Speech Modeling and Recognition

Damping of flexure blades based on bi-material additive manufacturing

Perspective Aware Road Obstacle Detection

A machine learning approach to portfolio pricing and risk management for high-dimensional problems

HIERARCHICAL MARKOV CHAIN MONTE CARLO METHODS FOR BAYESIAN INVERSE PROBLEMS

Graph Chatbot

Spectral Estimators for High-Dimensional Matrix Inference

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Interactive-time Exploration, Querying, and Analysis of Large High-dimensional Datasets

Analysis of the influence of errors in DNA-based image coding

Sparse Autoencoders for Speech Modeling and Recognition

Damping of flexure blades based on bi-material additive manufacturing

Perspective Aware Road Obstacle Detection

A machine learning approach to portfolio pricing and risk management for high-dimensional problems

HIERARCHICAL MARKOV CHAIN MONTE CARLO METHODS FOR BAYESIAN INVERSE PROBLEMS

Multi-scale experimental testing on variable stiffness and damping components for semi-active structural control

Multi-scale experimental testing on variable stiffness and damping components for semi-active structural control