Assistant-étudiant pour des tests d'écoute - Francophones exclusivement Contexte: La capacité à percevoir des sons dans l'espace — "écoute spatiale" — est une des fonctions du système auditif …
Qin Liu
Finished
Self-Supervised Learning for ribosome detection in microscopy images Background: In biomedical research, the detection, counting, and localization of ribosome spots from fluorescent imaging data is crucial for various …
Mohan Vamsi Nallapareddy
Finished
Geometric deep learning in dynamical systems Background Geometric deep learning has made substantial impact in the machine learning community by generalising convolution operations, previously defined on …
Adám Gosztolai
Finished
Learning principles of robotic locomotion on insects Background Robotics and AI research has achieved significant feats in recent years so that current legged robots can perform a …
Adám Gosztolai
Finished
Manifold learning applications on graphs and videos Background: Representation learning of both structured and graph data is mostly performed in Euclidean space. Earlier studies have shed light …
Ali Hariri
Finished
Exploring Implicit Neural Representations from a Signal Processing Perspective Background.
Implicit neural representations (INRs) have recently emerged as a powerful way of representing signals using neural networks.
INRs are …
Daniele Grattarola
Finished
Adaptive Neural Cellular Automata Background:
Neural Cellular Automata (NCA) are a class of cellular automata that use neural networks as learnable transition rules.
By …
Daniele Grattarola
Finished
Adaptive geometric neural networks Background: Networks are powerful mathematical objects which are widely used to model systems composed of interacting constituents such as those …
Adám Gosztolai
Finished
A Generalized Representation of Chemical Entities for Machine Learning Tasks What's it about. Machine learning on big chemical data has recently produced intriguing results and was shown to be capable …
Daniel Probst
Finished
Graph Neural Networks applied to team sports Project Description
Team sports rely on highly tactical and complex strategies often suggested by coaching staffs. For instance, basketball is …
Ali Hariri
Finished
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
Finished
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
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
Finished
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
Finished
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
Finished
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
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
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
