Meet Vicky Kalogeiton, Maks Ovsjanikov and Pierre Latouche, program directors

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Ecole polytechnique MSc&T Artificial intelligence and advanced visual computing
Maks Ovsjanikov

Maks Ovsjanikov is a Professor in the Computer Science Department of Ecole Polytechnique. Prior to this, he worked at Google in their Image Search team. His research focus is on deep learning techniques for 3D shape analysis. He obtained his PhD from Stanford University, and has received numerous awards for his work, including the Eurographics Young Researcher Award, an ERC Starting Grant, a CNRS Bronze Medal and an ERC Consolidator Grant, as well as 11 best paper awards or nominations at top conferences.

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Ecole polytechnique MSc&T Artificial Intelligence and advanced cisual computing
Pierre Latouche

Pierre Latouche is a Professor of statistics and machine learning at UCA in France. He is also a member (part time) of the DepMAP of Ecole Polytechnique.

Previously, he was Assistant Professor at Université Paris 1 Panthéon-Sorbonne before joining Université Paris Cité as a Professor. He is interested in computational statistics.

More specifically, he works on (deep) graphical models, optimisation, and on statistical theory. In the last ten years, he has developed methods for social network analysis, NLP, and high dimensional problems.

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Ecole polytechnique MSc&T Artificial Intelligence and advance Visual Computing
Vicky Kalogeiton

Vicky Kalogeiton is an Assistant Professor in the VISTA team of École Polytechnique since 2020. Previously, she was a research fellow at VGG, University of Oxford, where she worked with Andrew Zisserman. V. Kalogeiton completed her PhD at the University of Edinburgh and INRIA Grenoble advised by Vittorio Ferrari and Cordelia Schmid. She has been serving regularly as Area Chair in Computer Vision conferences and is the Associate Editor for CMBBE. She has been awarded five times outstanding reviewer for top vision conferences and outstanding Area Chair. Furthermore, she is the recipient of numerous awards, including the ANR JCJC 2022, honorable mention award at ACCV 2022, the best paper award at ICCV-W 2021, the best poster award at the University Grenoble Alpes in 2017, and the best thesis award of DUTh in 2013. Her research focuses on multimodal learning in three axes: generative AI (text-to-image generation), video understanding using text and audio, and multimodal medical applications.

Year 1

PERIOD 1

Michalis Vazirgiannis | Machine Learning I
Email: mvazirg@lix.polytechnique.fr

Renaud Keriven | Image analysis
Ecole Polytechnique & Bentley systems
Renaud.Keriven@bentley.com
Website

Maks Ovsjanikov | Digital Representation and Analysis of Shapes
Ecole Polytechnique
maks@lix.polytechnique.fr

Luca Castelli Aleardi | Digital Representation and Analysis of Shapes
Ecole Polytechnique
amturing@lix.polytechnique.fr

Olivier Rioul | Signal and sound processing
Telecom ParisTech
olivier.rioul@telecom-paristech.fr

Website

François Fages | Algorithms for decision making
francois.fages@inria.fr

Website

Sylvain Soliman | Algorithms for decision making
sylvain.soliman@inria.fr

Website

PERIOD 2

Stéphane Gaiffas | Machine Learning 2
stephane.gaiffas@polytechnique.edu

Damien Rohmer | Computer animation
Ecole Polytechnique, drohmer@lix.polytechnique.fr

Website

Luca Castelli Aleardi | Algorithmic geometry: from theory to applications
Ecole Polytechnique, amturing@lix.polytechnique.fr

Tamy Boubekeur | Image synthesis: Theory and practice
tamy.boubekeur@telecom-paristech.fr
Website

Marc Lavielle | Statistics in action
Inria, marc.lavielle@inria.fr

Website

Year 2

PERIOD 1

Pierre Latouche | Statistical Analysis, Introduction to Machine Learning Techniques
Telecom Paris Tech, Université Paris 1
pierre.latouche@univ-paris1.fr

Pooran Memari | C++ programming, basics of 3D modeling, image synthesis and algorithmic geometry
Ecole Polytechnique, CNRS
memari@lix.polytechnique.fr

Erwan Scornet | Deep Learning
Ecole Polytechnique
erwan.scornet@polytechnique.edu
Website

Steve Oudot | Data Analysis : Geometry and Topology in Arbitrary Dimensions
Ecole Polytechnique
steve.oudot@inria.fr
Website

Chloé Clavel | Natural language and speech Processing: from knowledge modelling to Machine Learning
chloe.clavel@telecom-paristech.fr
Website 

Fabian Suchanek | Natural language and speech Processing: from knowledge modelling to Machine Learning
Telecom ParisTech
suchanek@telecom-paristech.fr

Marie-Paule Cani | Advanced 3D Graphics
Ecole Polytechnique

Damien Rohmer | Advanced 3D Graphics
Ecole Polytechnique
drohmer@lix.polytechnique.fr
Website

Renaud Keriven | Computer Vision
Ecole Polytechnique & Bentley systems
Renaud.Keriven@bentley.com
Website

PERIOD 2

Odalric-Ambrym Maillard | Reinforcement Learning
Inria Lille
odalricambrym.maillard@inria.fr
Website

David Filliat| Navigation for Autonomous systems
Ecole Polytechnique
david.filliat@ensta-paristech.fr
Website

Eric Goubault| Introduction to the verification of neural networks
Ecole Polytechnique
eric.goubault@polytechnique.edu

Sylvie Putot| Introduction to the verification of neural networks
Ecole Polytechnique
sylvie.putot@polytechnique.edu
Website

Catherine Pelachaud| Socio-emotional embodied conversational agents
CNRS - ISIR
catherine.pelachaud@upmc.fr
Website

Christian Duriez | Soft robots: simulation, fabrication, and control
Inria Lille
christian.duriez@inria.fr
Website

Sylvain Lefebvre | Soft robots: simulation, fabrication, and control
Inria Nancy
Sylvain.Lefebvre@inria.fr
Website

Anatole Lecuyer| Immersion and interaction with virtual worlds
Inria
Anatole.Lecuyer@inria.fr
Website