Quentin Bertrand

@Qu3ntinB

Researcher at @Inria, affiliated at @Mila_Quebec. Previously, postdoctoral researcher at @Mila_Quebec w/ @SimonLacosteJ and @gauthier_gidel.

qb3.github.io

Joined January 2021

2,457 Following

1,249 Followers

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Quentin Bertrand
@Qu3ntinB
Oct 20
📣Call for Blog Posts at #ICLR2027 @iclr_conf Following the success of the past iterations, we are opening the Call for Blog Posts 2027! iclr-blogposts.github.io/2027/about/#a-… Please retweet!
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Quentin Bertrand
@Qu3ntinB
Jul 17
With @mathusmassias we reviewed what drives generalization in diffusion/FM. The main hypotheses: - Inductive bias (e.g., U-Nets, @ZKadkhodaie @ottogin1 ) - Training dynamics (i.e., gradient descent @TonyBonnaire ) More details in our @icmlconf tutorial memorization-generalization.github.io
Yann LeCun
@ylecun
Jul 16
Replying to @GoogleResearch
Not a critique of the paper, but isn't inductive bias/ regularization the reason for *every* form of generalization? Neural nets have a number of inductive biases due to the architecture as well as explicit or implicit regularizations. The mere fact that weight magnitudes are
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Quentin Bertrand
@Qu3ntinB
Jul 8
We had a blast discussing memorization, generalization, and beyond for diffusion models at our @icml tutorial with @mathusmassias! Slides & material: memorization-generalization.github.io
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Quentin Bertrand
@Qu3ntinB
Dec 4, 2025
For anyone at #NeurIPS2025 who wants to chat about the generalization of diffusion models, I will attend the diffusion circle. Everybody is welcome, feel free to join us!
Sander Dieleman
@sedielem
Dec 3, 2025
📢 Another #NeurIPS, another diffusion circle! Join us to talk about diffusion models on Friday Dec 5 at 3:30PM in San Diego! Bayside terrace outside room 11 (upstairs) ☀️🚢🌊 Please help spread the word, tell your friends! No slides, no talks, we just sit down and chat 🗣️
Quentin Bertrand
@Qu3ntinB
Dec 3, 2025
See you at poster #3701 at 11:00
Quentin Bertrand
@Qu3ntinB
Dec 3, 2025
This is happening now in Ballroom AB #NeurIPS2025 !!

Quentin Bertrand

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