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

Jun 8, 2022 I will be joining the discussion “AI and humans: how can we envision AI differently?” at a conference-cocktail organized by Ad’s Up consulting on the 8th of June.
May 23, 2022 The replay of my talk at Collège de France is now available.
May 23, 2022 I will be talking today at Collège de France for the colloque “Human-Computer Partnerships” organized by Wendy Mackay –> Checkout the program!
Mar 23, 2022 I will be presenting and demoing “Deep Learning Uncertainty in Machine Teaching” at IUI 2022 conference on the 23th of march –> Checkout the program!
Dec 22, 2021 Our paper “Deep Learning Uncertainty in Machine Teaching” got a best paper award in IUI 2022 🏆 Author version available here
Nov 12, 2021 I will be participating at a roundtable in the symposium “Crossing arts, design and sciences to teach differently”, on 12th of november.
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!

📄 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