Matthieu Blanke

@MatB_29

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

Joined November 2018

Matthieu Blanke
@MatB_29
Apr 22
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 arxiv.org/abs/2505.18017
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Matthieu Blanke
@MatB_29
May 7, 2024
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
Matthieu Blanke
@MatB_29
Jul 24, 2023
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 mb-29.github.io/projects/explo… Interested? Let's chat online!
Matthieu Blanke
@MatB_29
Apr 27, 2023
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: arxiv.org/abs/2304.13426 Full demo: youtube.com/watch?v=hGpkdz…
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