Thoth seminars
What? The Thoth seminar series is a weekly seminar of the Thoth team at Inria Grenoble Rhones-Alpes. We combine internal speakers from the group with invited speakers, most commonly presenting their recent research but also a broader survey of a topic. The talks cover a variety of topics in machine learning. This group is open to everyone. Please contact the organizers if you would like to join our mailing list, to which we send the link for each talk.
When? Talks are (usually) at 11am on Tuesday.
Where? They are (usually) in F107.
Who? We are always looking for speakers! If you would be happy to come and give a talk, please contact us at scott.pesme@inria.fr or giacomo.meanti@inria.fr.
Upcoming seminars
Mathilde Caron (Google Grenoble)
Tuesday, March 18, 2025 – room F107 – 11am
Wikipedia-Scale Visual Entity Recognition
Past seminars
Etienne Boursier (Inria Celeste Team)
Tuesday, March 11, 2025 – room F107 – 11am
Training overparametrized neural networks: early alignment phenomenon and simplicity bias
Pia Bideau (Inria Thoth Team)
Tuesday, March 4, 2025 – room F107 – 11am
Learning with Motion: Combining Perception and Interaction through Movement-Driven Computation
Vicky Kouni (Cambridge University)
Friday, February 28, 2025 – room F107 – 11am
Model-based (unfolding) networks and where to find them: the saga
Antoine Chatalic (GIPSA lab)
Tuesday, February 25, 2025 – room F107 – 11am
Approximate Kernel Statistical Distances for Efficient Numerical Integration and Two-Sample Testing
Stéphane Lathuilière (Inria RobotLearn Team)
Tuesday, February 18, 2025 – room F107 – 11am
Expanding Vision-Language Models: Adding Modalities and Tasks
Zhiqi Kang (Inria Thoth Team)
Tuesday, February 11, 2025 – room F107 – 11am
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Giacomo Meanti and Scott Pesme (Inria Thoth team)
Tuesday, February 4, 2025 – room F107 – 11am
Ongoing work on diffusion models
In this talk, we’ll cover some of our recent progress on our respective projets on diffusion models for inverse problems.
