Stages

This page (like this whole web site) is now (January 2023) totally obsolete.
Please check the new "Job Offers" page of the TAU team

Propositions de stages Master Recherche ou Ecole d'Ingénieurs - Année scolaire 2021-2022

• The Game of Privacy CLOSED
  • Contact: Michele Sebag, Armand Lacombe at lri dot fr
  • Topic: Supervised Machine Learning, Reinforcement Learning, Privacy
  • Details: Sujet_Privacy.pdf

• Combatting Unemployment: Data, Recommendations and Fairness
  • Contact: Michele Sebag, Philippe Caillou, sebag, caillou at lri dot fr
  • Topic: Machine Learning, Optimal Transport, Recommendations, Causal Learning
  • Details:see here.

• Spatio-temporal causal learning: Health outcomes of residential pesticides
  • Contact: Michele Sebag at lri dot fr; Olivier Allais at inrae dot fr
  • Topic: Machine Learning, Causal Learning, Generative models
  • Details:Sujet_Horapest.pdf

• Learning to Run a Power Network Energies of the future and carbon neutrality CLOSED
  • Contact: Isabelle Guyon, iguyon at lri dot fr
  • Topic: Machine Learning, Reinforcement learning, Power consumption, Benchmark
  • Details:see here.

• Meta-Album: creation of a meta-learning benchmark CLOSED
  • Contact: Isabelle Guyon, iguyon at lri dot fr
  • Topic: Machine Learning, Cross-Domain Meta-learning, Computer Vision, Benchmark
  • Details:see here.

• Robustness against bias in AutoDL systems CLOSED
  • Contact: Isabelle Guyon, iguyon at lri dot fr
  • Topic: Machine Learning, bias in data, deep learning
  • Details:see here.

Propositions de stages Master Recherche ou Ecole d'Ingénieurs - Année scolaire 2020-2021

• Recherche de politique optimale dans un espace 1D ou 2D, Application à l’agriculture durable
  • Contact: Simon Moulieras, simon.moulieras at greenshield.fr, Michele Sebag, sebag at lri dot fr
  • Topic: Reinforcement Learning, Graph Neural Networks
  • Details:ici.

• Post-hoc Model-Agnostic Explanation through Evolutionary Computing-based Methods
  • Contact: Marc Schoenauer, Marc dot Schoenauer at inria dot fr
  • Topic: Explainable and Trustworthy Machine Learning, Evolutionary Computation
  • Details:see here.

• Is overfitting avoidance “all you need” to guarantee privacy? CLOSED
  • Contact: Isabelle Guyon, iguyon at lri dot fr
  • Topic: Protection of privacy, synthetic data, GANs
  • Details:see here.

• REVEAL games, a new class of RL problems CLOSED
  • Contact: Isabelle Guyon, iguyon at lri dot fr
  • Topic: Reinforcement learning, meta-learning
  • Details:see here.

• Creation of a learning model for photoaerial identification of potential old-growth forests CLOSED
  • Contact: Isabelle Guyon, iguyon at lri dot fr
  • Topic: Computer vision, ecology
  • Details:see here.

• Controlling the COVID epidemic with reinforcement learning CLOSED
  • Contact: Isabelle Guyon, iguyon at lri dot fr
  • Topic: Reinforcement learning, epidemiology
  • Details:see here.

• (Deep) Graph Neural Networks for Fundamental Physics: the case of Glassy liquids
  • remark: This position has been filled ! (others may have been as well, this one it's for sure
  • Contact: François Landes, francois dot landes at inria dot fr
  • Topic: Graph Neural Networks (GNN), simulation data, fundamental physics
  • Details:see here.

Propositions de stages Master Recherche ou Ecole d'Ingénieurs - Année scolaire 2019-2020

• Exploiting heterogeneous COVID-databases with limited manual effort: a domain adaptation approach
  • Contact : Michele Sebag, sebag at lri dot fr (UPSaclay/CNRS/INRIA)
    avec Francois Landes (UPSaclay & Inria) and Isabelle Guyon (UPSaclay&Inria).
  • Sujet_Wrang.pdf
    Topic: Machine Learning, Data Wrangling, Domain Adaptation, Data cleaning

• Automated Deep Learning Self-Service Against COVID-19 CLOSED
  • Contact : Isabelle Guyon, iguyon at lri dot fr
    avec Zhengying Liu (doctorant), Adrien Pavao (doctorant) et en collaboration avec Google Zurich
  • Details
    La competition AutoDL a produit ses fruits et livré des solutions qui peuvent automatiquement entrainer des classifieurs puissants pouvant résoudre des problèmes de computer vision, text processing, et speech *sans intervention humaine aucune*. Vous les mettrez à disposition du public pour résoudre des problèmes liés au COVID-19.

• COVID-19 Facts and Rumors CLOSED
  • Contact : Isabelle Guyon, iguyon at lri dot fr (UPSaclay/INRIA)
    avec Ioana Manolescu-Goujot (INRIA Saclay and LIX/Ecole Polytechnique), Zhengying Liu (UPSaclay), Adrien Pavao (UPSaclay).
  • https://docs.google.com/document/d/1j0FEh5PR3bNP_qtsa-HugdWfH89zmJRnQpyFskhrkG0/edit?usp=sharing
    Topic: Machine Learning, Fact Checking, Statistics
    Stage de master uniquement.

• COVID-19 risk mitigation CLOSED
  • Contact : Isabelle Guyon, iguyon at lri dot fr (UPSaclay/INRIA)
    avec Michele Sebag (UPSaclay/CNRS), Kristin Bennett (RPI), John Erickson (RPI), Paloa Tubaro (UPSaclay/CNRS), Adrien Pavao (UPSaclay).
  • https://docs.google.com/document/d/1RNgucM3AgXcY4OI4-0BEHiSnmr-iqK5dUJvTCN2vzQ0/edit?usp=sharing
    Topic: Machine Learning, Causality, Epidemiology, Econometrics, Optimization
    Stage de master uniquement.

• COVID-19, coping with confinement CLOSED
  • Contact : Isabelle Guyon, iguyon at lri dot fr (UPSaclay/INRIA)
    avec Nicolas Thiery (UPSaclay), Sergio Escalera (U. Barcelona), Alice Guyon (U. Côte d’Azur), Adrien Pavao (UPSaclay).
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