| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| Geometric Deep Learning for Fluid Dynamics |
Use Machine Learning on graphs and manifolds to solve problems in computational fluid dynamics. |
Michaël Defferrard |
Finished |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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