Hugo Richard @hr1ch3rd
Joined September 2014-
Tweets41
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Followers111
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Following227
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Likes45
Hugo Richard retweeted
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 retweeted
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 🧵🧵🧵
Hugo Richard retweeted
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
Hugo Richard retweeted
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
Hugo Richard retweeted
New paper by @hr1ch3rd and @BertrandThirion offers a fast, memory efficient, and identifiable application of the shared response model doi.org/10.52294/001c.…
Hugo Richard retweeted
📢📢 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.
Hugo Richard retweeted
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…
Hugo Richard retweeted
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!
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!
Hugo Richard retweeted
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…
Hugo Richard retweeted
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!
Hugo Richard retweeted
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 ☺️
Hugo Richard retweeted
Now out in @ApertureOHBM! Our comprehensive overview, led by @manojneuro, of the @UseBrainIAK toolkit for advanced fMRI analysis apertureneuropub.cloud68.co/articles/42/in…
Now out in @ApertureOHBM! Our comprehensive overview, led by @manojneuro, of the @UseBrainIAK toolkit for advanced fMRI analysis apertureneuropub.cloud68.co/articles/42/in…
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