Téo Sanchez

PhD Student in Inria,
Université Paris Saclay

teo [dot] sanchez [at] lisn [dot] fr

I’m working on the design and understanding of teachable interactive systems in ExSitu research team, LISN and HCI team in ISIR.

I’m interested in the democratization of Interactive Machine Learning among general public and domain experts such as artists.


📰 news

Dec 22, 2021 Our paper “Deep Learning Uncertainty in Machine Teaching” got a best paper award in IUI 2022 🏆 Author version available here
Oct 18, 2021 I will present our paper “How do People Teach a Machine? Strategies and (Mis)Understandings” at CSCW21, starting the 23th of October –> Checkout the program!
Oct 10, 2021 Meet Marcelle! Our toolkit for composing Interactive Machine Learning workflows. Demo and paper presentation in UIST 2021 starting 10th of october –> Checkout the program!
Oct 9, 2021 I will be participating at a roundtable in the symposium “Crossing arts, design and sciences to teach differently”, on 12th of november.
Aug 30, 2021 We won the creARTathon 2021. Our piece Cor Epiglottae will be exhibited in Galerie Joseph, 66 rue Charlot, PARIS 75003. Friday, September 3, 6-9pm and Saturday 4 and Sunday 5 September, 10am-7pm.
Jul 14, 2021 I will extend my PhD with an ATER position in Université Paris Saclay from September to August 2021.

📄 publications

  1. IUI
    🏆 Deep Learning Uncertainty in Machine Teaching
    Sanchez, Téo, Caramiaux, Baptiste, Thiel, Pierre, and Mackay, Wendy E
    In IUI 2022-27th Annual Conference on Intelligent User Interfaces 2022
  2. CSCW
    How do People Train a Machine? Strategies and (Mis) Understandings
    In CSCW 2021-The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing 2021
  3. UIST
    Marcelle: Composing Interactive Machine Learning Workflows and Interfaces
    In Annual ACM Symposium on User Interface Software and Technology (UIST’21) 2021
  4. Frontiers
    Machine Learning Approaches For Motor Learning: A Short Review
    Frontiers in Computer Science 2020