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Title Description Supervisors Status
Better Uncertainty Estimates for DNNs v2! Project Description Deriving uncertainty estimates for feedforward DNN predictions is critical in a number of tasks. For example you might … Konstantinos Pitas Finished
Room modes identification and characterization and its potential application Room modes can significantly impair the quality of sound diffusion, in particular at low-frequencies and in small auditoria. These low-frequency … Thach Pham Vu Finished
Development of a microphone array to track mobile noise sources Microphone arrays can be used to locate and track moving sound sources, thanks to advanced signal processing techniques. Such techniques … Benjamin Ricaud, Hervé Lissek Finished
Multi-actuated panel for active sound absorption The distributed mode loudspeaker (DML) technology is a flat panel loudspeaker from which sound is generated a set of electromechanical … Hervé Lissek Finished
Implementation of a low-cost real-time reverberation algorithm The LTS2-Acoustics is working on binaural audio synthesis for applications in hearing aid technologies. Our activities deal with the improvement … Vincent Grimaldi Finished
Geometric Deep Learning for Climate and Weather Modeling Climate change is one of the grand challenges facing humanity in the 21st century. Humankind can mainly act on two … Michaël Defferrard, Gionata Ghiggi Finished
Protein reconstruction from multiple images with Deep Learning Single-particle cryo-electron microscopy (cryo-EM) is a Nobel-prized technology that aims to characterize the 3D structure of proteins at the atomic … Michaël Defferrard, Laurène Donati Finished
Learning on manifolds In many applications, data lie on non-Euclidean manifolds. Examples on the sphere include planetary data (such as temperature, wind, aerial … Michaël Defferrard, Martino Milani Finished
Data-driven research on graph neural networks I am looking for motivated students that wish to work on the development of deep learning algorithms for graph data. … Andreas Loukas Finished
An empirical study of rotation equivariant neural networks The goal of the project is to empirically study the difference in performance of Neural Networks that are either equivariant … Michaël Defferrard Finished
Assessment of Low-rank approximation techniques in sound field reconstruction Room modes can significantly impair the quality of sound diffusion, in particular at low-frequencies and in small auditoria. In practice, … Thach Pham Vu Finished
Better uncertainty estimates for DNNs DNNs are increasingly used in sensitive environments such as healthcare. In these sensitive environments a number of important questions arise. … Konstantinos Pitas Finished
Geometric Deep Learning for Fluid Dynamics Use Machine Learning on graphs and manifolds to solve problems in computational fluid dynamics. Michaël Defferrard Finished
Music outside the head In nature and most daily life situations, sounds of the world are naturally perceived as coming from outside the head. … Vincent Grimaldi Finished
Spherical Convolutional Neural Networks In the last 5 years, the field of Machine Learning has been revolutionized by the success of Deep Learning. Thanks … Michaël Defferrard Finished
Implementation of a low computational cost reverb algorithm The LTS2-Acoustics is working on binaural audio synthesis for applications in hearing aid technologies. Our activities deal with the improvement … Gilles André Courtois, Vincent Grimaldi Finished
Development of an active noise control device for cabin noise reduction According to the World's Health Organization (WHO), occupational noise represents one of the most important source of Noise-Induced Hearing Losses … Hervé Lissek Finished
Detection of fake news in sites and online networks There are numerous sources of information on the net. They can be more or less biaised or reliable and it … Benjamin Ricaud Finished
Detection of sounds with deep learning Classification of images and detection of objects in images have reached an impressive accuracy in the recent years, thanks to … Benjamin Ricaud Finished
Wikipedia activity analysis In this project we want to understand dynamic processes on networks and we will be using Wikipedia as an enormous … Benjamin Ricaud Finished
Improving virtual audio perception with headphones The LTS2-Acoustics is working on binaural audio synthesis for applications in hearing aid technologies. Our activities deal with the improvement … Gilles André Courtois, Vincent Grimaldi Finished
In-Situ Assessment of Active Electroacoustic Absorbers in Rooms at Low-Frequencies Room modes can significantly impair the quality of sound diffusion, in particular at low-frequencies and in small auditoria. These low-frequency … Thach Pham Vu Finished
Deep learning on 3D point clouds for object detection The goal of this project is to apply, adapt, and further develop the recently proposed graph convolutional neural networks [1] … Michaël Defferrard, Frank de Morsier Finished
Development of a remote quiet zone demo In many workspaces, low-frequency noises (LFN), as experienced with industrial machinery, electric transformer and air flow machinery, are the most … Romain Boulandet Finished
Convolutional Neural Networks on Graphs and Stationarity The Fourier spectrum is often not sufficient to discriminate complex signals because it does not take into account higher-order moments. … Nathanaël Perraudin, Michaël Defferrard Finished