Hugo Richard

41 posts

Hugo Richard

@hr1ch3rd

Katılım Eylül 2014

224 Takip Edilen109 Takipçiler

Hugo Richard retweetledi

Ana Luísa Pinho 🦋@ALuisaPinho·6 Haz

The #IBC 3rd-release data-paper is out! We validate naturalistic tasks using #FastSRM, an unsupervised model where a shared response and individual maps are learnt jointly from fMRI time series. Check it out! doi.org/10.1038/s41597… @BertrandThirion @hr1ch3rd @NeuroSpin_91

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Hugo Richard retweetledi

Masha Vladimirova@iamvladimirova·17 Oca

Since I joined @CriteoAILab, I started digging into applied causality topics. Our recent work “Maximizing the Success Probability of Policy Allocations in Online Systems” got accepted to AAAI-24 🥳! arxiv.org/abs/2312.16267 Ping @artembetley @RahierThibaud 🧵🧵🧵

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Jean-Yves Franceschi@jy_franceschi·21 Kas

Looking forward to present at #NeurIPS2023, NOLA & Paris, a unification framework for diffusion models and GANs. It opens up the possibility to train generators with diffusion and GANs without generators! 📜 openreview.net/forum?id=HMhEF… 🖥️ github.com/White-Link/gpm

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Hugo Richard retweetledi

Ana Luísa Pinho 🦋@ALuisaPinho·9 Kas

The preprint on the #IBC-dataset 3rd-release is out! We showcase the application of #FastSRM to extract, from naturalistic stimuli, functional networks of the visual, auditory and language systems. Check it out! hal.science/hal-04272993 @BertrandThirion

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ApertureNeuro@ApertureOHBM·2 Kas

New paper by @hr1ch3rd and @BertrandThirion offers a fast, memory efficient, and identifiable application of the shared response model doi.org/10.52294/001c.…

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Hugo Richard@hr1ch3rd·25 Tem

@CriteoAILab

QAM

Hugo Richard@hr1ch3rd·25 Tem

Notably, we demonstrate, both theoretically and through simulations, how preemptive algo- rithms can greatly outperform non-preemptive ones when the durations of different job types are far from one another, a phenomenon that does not occur when the type durations are known. 6/6

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Hugo Richard@hr1ch3rd·25 Tem

[ICML 2023, Exhibit Hall 1, Today at 2 PM] On a scheduling problem, we learn hints about job sizes as more jobs are scheduled. We use hints to make better scheduling decision via a combination of bandits methods and worse case scheduling algorithm. 1/6

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Zaccharie Ramzi@ZaccharieRamzi·1 Haz

📢📢 New preprint: arxiv.org/abs/2305.15042 "Test like you Train in Implicit Deep Learning" w. @PierreAblin @tomamoral @gabrielpeyre We investigate whether implicit deep learning models benefit from more test-time inner iterations.

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Chris Chambers@chrisdc77·17 Nis

Following Elsevier's decision to raise the APC for NeuroImage to $3,450, all editors (inc. EiCs @fmrib_steve @tobergmann @BirteUta) from NeuroImage and NeuroImage:Reports have resigned, effective immediately. I am joining this action and have also resigned imaging-neuroscience.org/Announcement.p…

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Antonia Machlouzarides-Shalit@Antonia_Machlou·29 Kas

C'est un honneur de recevoir le #SophIA Award 2022, et d'être intégrée et soutenue par @InriaStartup, @IncubatPacaEst, et @3IAcotedazur. Merci à Marco Lorenzi d'avoir collaboré avec nous, et nous avons hâte de poursuivre notre plan d'action cette année!

Sophia Antipolis@SophiaAntip0lis

#SOPHIASUMMIT 🔴 En #direct de la cérémonie de clôture & remise des prix félicitations au projet lauréat "NeuroPin" du SophIA Award 2022 porté par @Antonia_Machlou ! Félicitations à l'entreprise @AtelierMy3D qui remporte le prix "Sustainability" attribué par @SAPLabsinFrance !

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Hugo Richard retweetledi

Alexis Thual@alexisthual·24 Kas

Our paper on using Optimal Transport to compare human cortical surfaces was accepted at #NeurIPS22 🥳 We implement a new OT solver (FUGW) to compare human brains although their anatomy and functional activity patterns differ a lot. arxiv.org/abs/2206.09398 github.com/alexisthual/fu…

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Hugo Richard retweetledi

Raphael Meudec@raphaelmeudec·21 Haz

Thrilled to give an oral tomorrow at 10:30 at #OHBM22! We successfully decode 50 cognitive processes from fMRI maps by exploiting the large amount of data in @Neurovault and leveraging the @CognitiveAtlas ontology See you in M1 for the Modeling and Analysis Activation session!

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Hugo Richard retweetledi

Alexis Thual@alexisthual·21 Haz

Thrilled to give a demo brain-cockpit 🧠🚀, a web-based viewer @StanDehaene, @BertrandThirion and I have been working on to explore deep phenotyping fMRI data and individual alignments! See you @OHBM friends in M1 at 13:00 ☺️

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Hugo Richard retweetledi

Norman Lab@ptoncompmemlab·4 Şub

Now out in @ApertureOHBM! Our comprehensive overview, led by @manojneuro, of the @UseBrainIAK toolkit for advanced fMRI analysis apertureneuropub.cloud68.co/articles/42/in…

Manoj Kumar @[email protected]@manojneuro

Excited to share our comprehensive overview of BrainIAK: The Brain Imaging Analysis Kit osf.io/db2ev/ via @OSFramework This work includes new example Jupyter notebooks for all methods in BrainIAK.

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Keşfet

@NeuroSpin_91 @CriteoAILab @artembetley @RahierThibaud @PierreAblin @tomamoral @gabrielpeyre @fmrib_steve