Technical Program

Preliminary Schedule

Lectures

1. Matthieu Jonckheere
   Distance learning using Euclidean percolation: Following Fermat's principle

2. David E Tyler
   Robustness properties of regularized M-estimates of covariance: A statistician's view

3. Jasin Machkour
   The Terminating-Knockoff Filter: Fast High-Dimensional Variable Selection with False Discovery Rate Control

4. Arnaud Breloy
   Riemannian geometry in elliptical distributions

Short Talks Session 1 (High-Dimensional Processing)

1. Elias Raninen
   On high-dimensional covariance matrix estimation for multiple classes

2. Remi Beisson
   Change Detection & RMT

3. Lucas Guardiola
   GG-SNE: A Flexible Stochastic Neighbour Embedding Algorithm

4. Alexandre Hippert, Mohammed Nabil El-Korso
   Robust low-rank covariance matrix estimation with missing values and application to classification problems

Short Talks Session 2 (Graphs and Machine Learning)

1. Pierre Houdouin
   FEMDA : A flexible Algo for Discriminant Analysis

2. Aylin Tastan
   Graph-based Clustering and Outlier Effects

3. Cédric Richard & André Ferrari
   Community Change-points Detection in Streaming Graph Signals

4. Antoine Collas
   Machine Learning & Geometry

Short Talks Session 3 (Advanced Applications)

1. Paul Chauchat, Jordi Vila-Valls, Eric Chaumette
   Robust Linearly Constrained Filtering and Smoothing: Results and Applications

2. Benjamín Bejar-Haro
   Biomedical Applicaitons at the Swiss Data Science Center

3. Imen Ayadi
   Robust classification for EEG signals

4. Florian Mouret
   Robust Gaussian mixture model for data imputation and anomaly detection - Application to crop monitoring

Short Talks Session 4 (Image Processing)

1. Adrian Basarab
   Signal and image processing inspired by quantum mechanics: application to image restoration

2. Yoan Altman
   Scalable image restoration via Expectation-Propagation

3. Jean-Yves Tourneret
   Hypersphere Fitting: Model, Algorithms and Future Work