Seminars

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

Dorian Baudry (Inria Ghost Team)

Tuesday, September 23, 2025 – room F107 – 11am

Does stochastic gradient really succeed for bandits?

Kenta Vert, Amogh Tiwari, Juliette Bertrand (Inria Thoth Team)

Tuesday, September 30, 2025 – room F107 – 11am

Presentations of their ongoing works

Myung Jun Kim (Inria SODA Team)

Tuesday, October 7, 2025 – room F107 – 11am

TBD

Houssam Zenati (University College of London)

Tuesday, October 21, 2025 – room F107 – 11am

TBD

Gaspard Dussert (Télécom Paris)

Tuesday, November 4, 2025 – room F107 – 11am

TBD

Aditya Varre (EPFL)

Tuesday, November 18, 2025 – room F107 – 11am

TBD

Past seminars

Manvi Agarwal (Télécom Paris)

Tuesday, September 16, 2025 – room F107 – 11am

Understanding positional encoding through the lens of kernels, with applications to music generation

Anne Gagneux (Inria Ockham Team)

Tuesday, September 9, 2025 – room F107 – 11am

Flow Matching and its applications to Image Restoration.

Yifei Lou (University of North Carolina at Chapel Hill)

Tuesday, July 1, 2025 – room F107 – 11am

Scale-invariant regularizations for sparse signal recovery

Mathieu Besançon (Inria Polaris Team)

Tuesday, June 17, 2025 – room F107 – 11am

Frank-Wolfe Methods and Applications

Pierre-Cyril Aubin-Frankowski (CERMICS, ENPC)

Wednesday (unusual date!), June 11, 2025 – room F107 – 11am

Gradient descent and flows with c(x,y) cost

Emmanuel De Bézenac (Inria Paris)

Tuesday, June 3, 2025 – F107 – 11am

Some insights into neural operators or solving PDEs

Kimmo Riihiaho & Ilkka Pölönen (University of Jyväskylä, Finland)

Tuesday, May 27, 2025 – room F107 – 11am

Spectral Forest Simulations with HyperBlend

Adrien Taylor (Inria Sierra Team)

Tuesday, May 20, 2025 – room F107 – 11am

Principled approaches and tools for the analysis and design of first-order optimization algorithms

Diane Larlus (Naver labs)

Tuesday, May 13, 2025 – Grand Amphi (unusual place!) – 11am

Learning Versatile Visual Representations

Alexei Efros (UC Berkeley)

Tuesday, May 6, 2025 – Grand Amphi – 11am

The joys of Generative Models as Data Stores

Ieva Petrulionyte (Inria Thoth Team)

Tuesday, April 29, 2025 – room F107 – 11am

Practical tutorial on model-based reinforcement learning

Romain Ménégaux (Inria Thoth Team)

Tuesday, April 22, 2025 – room F107 – 11am

Tutorial on Flow Matching

Hadrien Hendrikx (Inria Thoth Team)

Tuesday, April 15, 2025 – room F107 – 11am

Constructing an ML pipeline from scratch: the case of ecology

Derek Hoiem (University of Illinois)

Joint seminar with Naver-labs
Tuesday, April 8, 2025 – PLACE TBD – 11am

Three Elements to AI that Get the Job Done

Kouroche Bouchiat

Tuesday, March 25, 2025 – room A103 (different room than usual!) – 11am

Advances in Laplace Inference for Reliable and Interpretable Bayesian Deep Learning

Mathilde Caron (Google Grenoble)

Tuesday, March 18, 2025 – room F107 – 11am

Wikipedia-Scale Visual Entity Recognition

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

Crédit photo Antoine Chatalic

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.