Technically, I compute integrals for a living.

Joined June 2020
Adrien Corenflos retweeted
posteriors 𝞡 published at ICLR! I’ll be in Singapore next week, let’s chat all things scalable Bayesian learning! 🇸🇬👋
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Adrien Corenflos retweeted
One #postdoc position is still available at the National University of Singapore @NUSingapore to work on sampling, high-dimensional data-assimilation, and diffusion/flow models. Applications are open until the end of January. Details: alexxthiery.github.io/jobs/2…
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🔥You enjoyed @ArnaudDoucet1 talk but want even more Schrodinger Bridge? Come talk to me at our poster! 🔷Schrodinger Bridge Flow for Unpaired Data Translation 🔊 East Exhibit Hall A-C #2504 Work done with my amazing collaborators Ira Korshunova @AndriyMnih and @ArnaudDoucet1
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Adrien Corenflos retweeted
New preprint on importance sampling, (particle) independent MCMC and their unbiased versions! One bit of math is we use an anti-concentration inequality (L^p version of Paley-Zygmund) to lower bound the acceptance probability. Curious if it can be used for other MCMC algorithms!
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Adrien Corenflos retweeted
Apple released a hearing aids feature for the AirPods Pro a while ago. I bought a pair for grandma, but then realized that the feature was geoblocked in India So we at @_lagrangepoint decided to unblock it. It ended up involving a leaky microwave and building a Faraday cage:
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Adrien Corenflos retweeted
Hidemaro Suwa, Synge Todo. [cond-mat.stat-mech]. Control of probability flow in Markov chain Monte Carlo -- Nonreversibility and lifting. (Replacement). arxiv.org/abs/1207.0258
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Adrien Corenflos retweeted
"The Grammar Checker for Developers"
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This coming Tuesday, our seminar welcomes Diana Cai, presenting on "Batch and match: score-based approaches for black-box variational inference". Subscribe to our mailinglist groups.google.com/g/internat… and calendar calendar.google.com/calendar… for up-to-date schedule!
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Adrien Corenflos retweeted
Deniz Akyildiz@odakyildiz4 Nov 2024
NEW PAPER: Provable robustness of Bayesian filters with simple modifications (nudging) against model misspecification in the transition kernel arxiv.org/abs/2411.00218
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Adrien Corenflos retweeted
Aaditya Ramdas, Ruodu Wang. [math.ST]. Hypothesis testing with e-values. arxiv.org/abs/2410.23614v1
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Adrien Corenflos retweeted
The deadline to apply has been postponed to **14 November** (which is confusingly listed as "15 November at 00:00" on the website).
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Adrien Corenflos retweeted
Reminder: we currently have a PhD offer to work on phylogenetic reconstruction of animal communication. Joint supervision between Emmanuel Chemla (Linguistics, ENS Paris) and myself (Statistics, Imperial College London); the PhD candidate will be based in Paris.
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AutoStep: Locally adaptive involutive MCMC. arxiv.org/abs/2410.18929
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Adrien Corenflos retweeted
Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions arxiv.org/abs/2409.18804v1 Jointly with @GeorgeDeligian9 and @RousseauJudith, we show that diffusion models achieve rates independent of the ambient dimension for score learning and sampling! (1/4)
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Adrien Corenflos retweeted
Join us if you’re interested in Monte Carlo!
📢 Hi friends! We’re launching a weekly online seminar on Monte Carlo methods, starting on October 1st with Prof. Persi Diaconis. Join us every Tuesday! For more details, visit our website: sites.google.com/view/monte-… or subscribe to our mailing list groups.google.com/g/internat…. Welcome!
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📢 Hi friends! We’re launching a weekly online seminar on Monte Carlo methods, starting on October 1st with Prof. Persi Diaconis. Join us every Tuesday! For more details, visit our website: sites.google.com/view/monte-… or subscribe to our mailing list groups.google.com/g/internat…. Welcome!
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Adrien Corenflos retweeted
Replying to @AdrienCorenflos
(Shameless plug) you should come to our BayesAI workshop (last week of Sep, registration deadline this Sat) where Nik will be presenting about this work! bayesaiworkshop.github.io
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Adrien Corenflos retweeted
Adaptive MCMC can be very useful in practice, but theoretical results are technical. We attempted to write a more accessible story about adaptive MCMC theory: arxiv.org/abs/2408.14903. It starts from the beautiful martingale decomposition of Andrieu & Moulines (2006):
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