Matthieu Blanke

Postdoc at @NYU_Courant, AI for Science
PhD from @ENS_ULM and @Inria

[Matthieu Blanke @MatB_29]

@zobal_skertah Thank you my friend!🤩

[Matthieu Blanke @MatB_29]

Work done with @YongquanQu2340, Sara Shamekh and @PierreGentine at @NYU_Courant and at the @LeapStc center, in collaboration with @M2LInES

[Matthieu Blanke @MatB_29]

I'm excited to present CASAL, our training-free constrained sampling algorithm, at #ICLR2026! 🌴

Leveraging Wasserstein optimization, CASAL enforces hard constraints on pre-trained diffusion models with minimal bias.

Saturday 10:30 AM – 1:00 PM, P3-#409
https://t.co/oq1Tc16QzK

[Matthieu Blanke @MatB_29]

Tomorrow, I will present our paper Interpretable Meta-Learning of Physical systems at #ICLR2024, poster #29, 4.30 P.M.
We propose CAMEL, a meta-learning algorithm incorporating physical structure. Applications include physical parameter identification and robotics.
@marc_lelarge

[Mathieu Even @mathieu_even1]

Hi! I am not in Neurips at NO, but very happy to share our poster with you! @pesme_scott either, but if you are interested please talk to @suriyagnskr or Nicolas (@tml_lab) who are present !

[MLIA @mlia_isir]

Today, Matthieu Blanke @MatB_29 from @inria_paris presents his work "Interpretable Meta-Learning of Physical Systems" during the team meeting!

[Matthieu Blanke @MatB_29]

Although I decided not to fly to Hawaii for #ICML2023, our poster on exploration in reinforcement learning will be displayed on Wednesday: session 4, poster 544. 🌱🚫✈️
@marc_lelarge

https://t.co/Q7N1002gGL

Interested? Let's chat online!

[Matthieu Blanke @MatB_29]

Our work "FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems" has been accepted at #ICML2023 ! @marc_lelarge

FLEX is a lightweight model-based pure exploration policy maximizing the Fisher information.

Paper: https://t.co/x48H3Rg7l5
Full demo: https://t.co/JZQrAL60kg