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Title Description Supervisors Status
Heterogeneous Message Passing Neural Network for Semi-Supervised Learning Task Node attribute completion in knowledge graphs. Description In recent years, only a few graph representation learning (GRL) approaches have … Eda Bayram Available
Development of a high performance plasma-based actuator for active noise reduction The development of novel noise reduction technologies is challenged by the growing environmental noise pollution concerns. Since conventional passive noise … Stanislav Sergeev Available
Development, assessment and optimization of an Active Nonlinear Electroacoustic Resonator Acoustic metamaterials (AMMs) and metasurfaces (AMSs) are engineered structures aimed at achieving unprecedented acoustic properties not available in nature. They … Xinxin Guo Available
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 Available
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 Available
VENOVA : an actively modified cylindrical cross-saxophone After some research, modeling, computations, adjustments and a bit of luck, the team of engineers from Yamaha have developed a … Hervé Lissek Available
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 Available
Development of an active acoustic metasurface Metamaterials are engineered materials with a subwavelength structure that enables extraordinary propagation and manipulation of waves. In acoustics, they can … Maxime Volery Available
Machine learning for urban traffic classification In Switzerland, more than 1 million people are concerned with traffic noise, which may have many adverse effects on health. … Hervé Lissek Assigned
Deep Learning on Neuronal Morphologies Project description at https://www.epfl.ch/research/domains/bluebrain/deep-learning-on-neuronal-morphologies-internship/. Michaël Defferrard, Lida Kanari, Francesco Casalegno, Stanislav Schmidt Assigned
Is my deep neural network good at memorizing? Project Description How much information have deep neural network weights memorized after training? One way of answering this question is … Konstantinos Pitas Assigned
How flat is my minimum? Project Description Predicting how a deep neural network will perform on new datapoints after training is important in real applications. … Konstantinos Pitas Assigned
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 Assigned
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 Assigned
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 Assigned
Anomaly detection on large scale distributed sensors, combining signal processing and machine learning This project may be done as a company internship for a master student, for the summer 2021 instead of a … Benjamin Ricaud 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
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