Louis Grenioux @theh2o64
PhD Student at École Polytechnique - Enhancing sampling with deep generative models h2o64.github.io Paris, France Joined November 2012-
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Louis Grenioux retweeted
🚨 Deadline Extension! 🚨 The FPI workshop submission deadline is now August 29th. Submit your latest research on Probabilistic Inference and Sampling. Don't miss out! fpineurips.framer.website #NeurIPS2025 #ProbabilisticInference #AI
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📢 Deadline extended! Submit your work to the Frontiers in Probabilistic Inference workshop by Aug 29 🗓️ (fpineurips.framer.website). #NeurIPS2025 #MachineLearning #ProbabilisticInference
📢 Deadline extended! Submit your work to the Frontiers in Probabilistic Inference workshop by Aug 29 🗓️ (fpineurips.framer.website). #NeurIPS2025 #MachineLearning #ProbabilisticInference
Louis Grenioux retweeted
Working on Probabilistic Inference and Sampling 🤔? Consider submitting to the FPI workshop at #NeurIPS2025 this year. 🔗fpineurips.framer.website 🚨Deadline is coming up, and it's Aug 22nd! So submit your best work, early!
Excited to be at SampTA 2025 in Vienna this week! 🇦🇹 If you're around and interested in generative modeling or sampling, let's connect. More about the event: sampta25.univie.ac.at
Louis Grenioux retweeted
1/ Where do Probabilistic Models, Sampling, Deep Learning, and Natural Sciences meet? 🤔 The workshop we’re organizing at #NeurIPS2025! 📢 FPI@NeurIPS 2025: Frontiers in Probabilistic Inference – Learning meets Sampling Learn more and submit → fpiworkshop.org…
Louis Grenioux retweeted
We’re thrilled to announce the launch of the MolSS Reading Group! 🚀 🔬 MolSS = Machine Learning for Molecular Simulations and Sampling 🔥 First session: June 3rd, 3 PM (UK time) by @jmhernandez233 🗓️ Regular sessions: Every other Tuesday at 4 PM (UK time), 45–60 minutes
Louis Grenioux retweeted
New revision of “BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching” 🚀 (1/6) We introduce NEM and BNEM — diffusion&energy-based neural samplers for Boltzmann distributions. 📝 Read our paper at [arxiv.org/pdf/2409.09787]
Louis Grenioux retweeted
Big congrats to Charles Margossian and Lawrence Saul for winning the #AISTATS 2025 Best Paper Award! "Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix"
Louis Grenioux retweeted
All the MLG papers at #ICLR2025 main conference!
Louis Grenioux retweeted
Excited to present our work “Denoising Lévy Probabilistic Models” at #ICLR2025 (Thursday 10am) We extend diffusion models with heavy-tailed noise for better coverage & faster sampling. Let’s chat about heavy-tailed/discrete diffusion and novel methods! arxiv.org/abs/2407.18609
Louis Grenioux retweeted
🔥Wanna talk about combining diffusion models and sampling ?🔥 I'll be attending ICLR next week to present my work (main track + FPI workshop) with the one and only @theh2o64, we'll be pleased to discuss about this hot topic. See you there !
Louis Grenioux retweeted
I'll be at ICLR this week, hit me up if you want to discuss diffusion models and guidance! We'll be presenting arxiv.org/abs/2410.09945 on thu. 24 at the oral session 1C, then in the afternoon at Hall 2B Poster #143. Come say hi!
In other news, I'm visiting Prof. Hernández-Lobato (@jmhernandez233) at the engineering department of Cambridge's university 🇬🇧 till the end of June 2025. If you are in Cambridge or in the greater London area, I'd be happy to chat about sampling and generative models 😁
Louis Grenioux retweeted
Nice to see interest in NF-MCMC! In line with my first paper (arxiv.org/abs/2302.04763), this work also compares different NF-MCMC algorithms with a big emphasis on NF architectures. If you want to dive in those algorithms, both papers give insightful intuitions 😁
Nice to see interest in NF-MCMC! In line with my first paper (arxiv.org/abs/2302.04763), this work also compares different NF-MCMC algorithms with a big emphasis on NF architectures. If you want to dive in those algorithms, both papers give insightful intuitions 😁
Louis Grenioux retweeted
📢 Super excited to announce the first ever Frontiers of Probabilistic Inference: Learning meets Sampling workshop at #ICLR2025 @iclr_conf! 🔗 website: sites.google.com/view/fpiworksh… We invite submissions on sampling, Bayesian inference, accelerating sampling in AI4Science,…
Louis Grenioux retweeted
My two biggest regrets of not attending NeurIPS are missing @ArnaudDoucet1's keynote and @lipmanya's tutorial.
My two biggest regrets of not attending NeurIPS are missing @ArnaudDoucet1's keynote and @lipmanya's tutorial.
Louis Grenioux retweeted
It's getting real 👌
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