Geometric Intelligence Lab (we are recruiting!) @geometric_intel
Research lab at @UCSBEngineering revealing the geometric signatures of natural and artificial intelligence | PI: @ninamiolane gi.ece.ucsb.edu Santa Barbara Joined September 2021-
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Congratulations to the 2024 #GradSl winners! 1st Place: Iris Garcia-Pak @UCSanDiego @UCSDNeuro 2nd Place/People’s Choice: Kacie Ring @ucsantabarbara @eembucsb 3rd Place: Shannon Brady @UCRiverside
This year's edition addresses one of the most pressing open problems in the field: bridging the gap between TDL methods and all sorts of existing datasets. Help us unlock the full potential of higher-order modeling to a broad new range of contexts and scenarios!
Huge thanks to @gbg1441, Marco Montagna, Federica Baccini, @mathildepapillo, teams @PyT_Team_ @TAGinDS, and amazing @ninamiolane
Please visit the challenge webpage for all the details, and do not hesitate to contact us if you have any questions/doubts!
⭐All participants are guaranteed co-authorship on a white paper! ⭐️The winners will be invited to co-author a Data-centric Machine Learning Research submission.
Everyone can join the challenge! There is no need to be registered at ICML or have prior experience in TDL! The only requirement is to be curious about capturing and processing multi-element relationships
Led by the exceptional winners of last year's ICML'23 challenge: @gbg1441 @lev_telyatnikov with Marco Montagna, Federica Baccini, @mathildepapillo, teams @PyT_Team_ @TAGinDS and I🌟 Hosted by the ICML'24 @GRaM_workshop @icmlconf with @SharvVadgama @erikjbekkers and many more.
🍩Topological Deep Learning (TDL) processes data on topological domains: simplicial complexes, hypergraphs, and more. it extends graph neural nets with notable performance gains 🌟 Interested? Join this ICML'24 GRaM coding challenge to collaborate on the latest TDL research!🏆
🍩Topological Deep Learning (TDL) processes data on topological domains: simplicial complexes, hypergraphs, and more. it extends graph neural nets with notable performance gains 🌟 Interested? Join this ICML'24 GRaM coding challenge to collaborate on the latest TDL research!🏆
That is the time to discover the intricate world of higher-order interactions! Go Beyond the graph Domain 🚀 and get Published! Hosted at @icmlconf 2024 by @GRaM_workshop🌐 The 2nd (ever) Topological Deep Learning Challenge is officially out! Website: pyt-team.github.io/packs/challenge
Huge thanks to @lev_telyatnikov, Marco Montagna, @ninamiolane, Miquel Ferriol-Galmés, @mathildepapillo and Federica Baccini to help co-organizing this competition, and also to @PyT_Team_ and @GRaM_workshop teams for their support!
Do not miss this great opportunity to join a fantastic international team of scientists in pushing the frontiers of higher-order deep learning! 💥 Please, check out the challenge webpage for all the details, and do not hesitate to contact if you have any questions/doubts!
All participants are guaranteed co-authorship on a white paper, and winners will be invited to co-author a Data-centric Machine Learning Research submission.
Everyone can join the challenge; no need to be registered at ICML or have prior experience in TDL! The only requirement is to be curious about capturing and processing multi-element relationships 😺
This year's edition addresses one of the most pressing open problems in the field: bridging the gap between TDL methods and all sorts of existing datasets. Help us unlock the full potential of higher-order modeling to a broad new range of contexts and scenarios!
Very excited to announce the 2nd edition of the Topological Deep Learning Challenge, hosted at @icmlconf 2024 by @GRaM_workshop 🌐 Ready to go beyond the graph domain? Implement a topological lifting, and get published! 💫 Challenge website📢: pyt-team.github.io/packs/challeng…
We're back at it! So excited about the 2nd ever Topological Deep Learning Challenge🏆 This year's topic : lifting maps 🏹✨
We're back at it! So excited about the 2nd ever Topological Deep Learning Challenge🏆 This year's topic : lifting maps 🏹✨
📣 The Topological Deep Learning Challenge is back at #ICML2024 hosted by @GRaM_workshop
📣 The Topological Deep Learning Challenge is back at #ICML2024 hosted by @GRaM_workshop
So happy that we moved from Texas to California😎 Very much looking forward to the amazing science @Stanford @StanfordMed @StanfordBrain & to being an active member of the community Stay tuned for our #NeuroAI research w/ @AToliasLab @sinzlab @geometric_intel & many more 🙌
So happy that we moved from Texas to California😎 Very much looking forward to the amazing science @Stanford @StanfordMed @StanfordBrain & to being an active member of the community Stay tuned for our #NeuroAI research w/ @AToliasLab @sinzlab @geometric_intel & many more 🙌
Congrats to the next generation of STEM leaders at UCSB who received prestigious @NSF graduate research fellowships! engineering.ucsb.edu/news/coe-stude…
I've been inactive on X for a while. As I still spend *a lot* of time here & enjoy reading about exciting #neuroscience #neuroAI research, I will again engage more actively with the #neuroscience community🤓🧠👋stay tuned for science updates, with @AToliasLab @sinzlab & many more
Nina Miolane @ninamiolane
4K Followers 2K Following Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel https://t.co/Eeeaqytppe, Pilot
Michael Bronstein @mmbronstein
43K Followers 4K Following #DeepMind Professor of #AI @UniofOxford / Fellow @ExeterCollegeOx / ML Lead @ProjectCETI / https://t.co/kZpGpDzYeV
Symmetry and Geometry.. @neur_reps
3K Followers 1K Following NeurIPS workshop and digital community | 🌐 geometry, algebra, topology + 🤖 deep learning + 🧠 neuroscience | Join us on slack! https://t.co/Run9wPnZt9
Sophia Sanborn @naturecomputes
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Justin Solomon @JustinMSolomon
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Francisco Acosta 🦧 @hopfbifurcator
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Erik Bekkers @erikjbekkers
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Christian Shewmake @cashewmake2
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Taco Cohen @TacoCohen
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Michael Bronstein @mmbronstein
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Symmetry and Geometry.. @neur_reps
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Petar Veličković @PetarV_93
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Sophia Sanborn @naturecomputes
4K Followers 3K Following Theory, ML, neurotechnology @ https://t.co/OmhC0RyxZp | Organizer @neur_reps | Prev: @geometric_intel @berkeley_ai @redwood_neuro @intelai @harvard
Yi Ma @YiMaTweets
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Kording —-& Lab �.. @KordingLab
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Francisco Acosta 🦧 @hopfbifurcator
1K Followers 953 Following PhD-ing @UCSBPhysics @geometric_intel lab | prev @MIT | physics ∩ geometry ∩ neuro-computation | mechanistic interpretability for the brain
Erik Bekkers @erikjbekkers
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Vidit Nanda @viditnanda
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Guillermo Bernárdez @gbg1441
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Katrin Franke @kfrankelab
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Jan Lause 🟦 @janla.. @JanLause
704 Followers 1K Following data science PhD student 🧬🧠🖥️ scRNA data, retina & brain | sci-comm 🤖❤️🌍 AI & sustainability | easily sidetracked by small details in plots & birds 📈🔍🦜
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Kiran Vaddi @imvaddi
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Congratulations to the 2024 #GradSl winners! 1st Place: Iris Garcia-Pak @UCSanDiego @UCSDNeuro 2nd Place/People’s Choice: Kacie Ring @ucsantabarbara @eembucsb 3rd Place: Shannon Brady @UCRiverside
P.S. We have two versions of the flyer! Cast your vote below for the one you like the most! 🗳️✨
This year's edition addresses one of the most pressing open problems in the field: bridging the gap between TDL methods and all sorts of existing datasets. Help us unlock the full potential of higher-order modeling to a broad new range of contexts and scenarios!
Huge thanks to @gbg1441, Marco Montagna, Federica Baccini, @mathildepapillo, teams @PyT_Team_ @TAGinDS, and amazing @ninamiolane
Please visit the challenge webpage for all the details, and do not hesitate to contact us if you have any questions/doubts!
⭐All participants are guaranteed co-authorship on a white paper! ⭐️The winners will be invited to co-author a Data-centric Machine Learning Research submission.
Everyone can join the challenge! There is no need to be registered at ICML or have prior experience in TDL! The only requirement is to be curious about capturing and processing multi-element relationships
Led by the exceptional winners of last year's ICML'23 challenge: @gbg1441 @lev_telyatnikov with Marco Montagna, Federica Baccini, @mathildepapillo, teams @PyT_Team_ @TAGinDS and I🌟 Hosted by the ICML'24 @GRaM_workshop @icmlconf with @SharvVadgama @erikjbekkers and many more.
🍩Topological Deep Learning (TDL) processes data on topological domains: simplicial complexes, hypergraphs, and more. it extends graph neural nets with notable performance gains 🌟 Interested? Join this ICML'24 GRaM coding challenge to collaborate on the latest TDL research!🏆
Very excited to announce the 2nd edition of the Topological Deep Learning Challenge, hosted at @icmlconf 2024 by @GRaM_workshop 🌐 Ready to go beyond the graph domain? Implement a topological lifting, and get published! 💫 Challenge website📢: pyt-team.github.io/packs/challeng…
That is the time to discover the intricate world of higher-order interactions! Go Beyond the graph Domain 🚀 and get Published! Hosted at @icmlconf 2024 by @GRaM_workshop🌐 The 2nd (ever) Topological Deep Learning Challenge is officially out! Website: pyt-team.github.io/packs/challenge
Huge thanks to @lev_telyatnikov, Marco Montagna, @ninamiolane, Miquel Ferriol-Galmés, @mathildepapillo and Federica Baccini to help co-organizing this competition, and also to @PyT_Team_ and @GRaM_workshop teams for their support!
Do not miss this great opportunity to join a fantastic international team of scientists in pushing the frontiers of higher-order deep learning! 💥 Please, check out the challenge webpage for all the details, and do not hesitate to contact if you have any questions/doubts!
All participants are guaranteed co-authorship on a white paper, and winners will be invited to co-author a Data-centric Machine Learning Research submission.
Everyone can join the challenge; no need to be registered at ICML or have prior experience in TDL! The only requirement is to be curious about capturing and processing multi-element relationships 😺
This year's edition addresses one of the most pressing open problems in the field: bridging the gap between TDL methods and all sorts of existing datasets. Help us unlock the full potential of higher-order modeling to a broad new range of contexts and scenarios!
Very excited to announce the 2nd edition of the Topological Deep Learning Challenge, hosted at @icmlconf 2024 by @GRaM_workshop 🌐 Ready to go beyond the graph domain? Implement a topological lifting, and get published! 💫 Challenge website📢: pyt-team.github.io/packs/challeng…
We're back at it! So excited about the 2nd ever Topological Deep Learning Challenge🏆 This year's topic : lifting maps 🏹✨
Very excited to announce the 2nd edition of the Topological Deep Learning Challenge, hosted at @icmlconf 2024 by @GRaM_workshop 🌐 Ready to go beyond the graph domain? Implement a topological lifting, and get published! 💫 Challenge website📢: pyt-team.github.io/packs/challeng…
📣 The Topological Deep Learning Challenge is back at #ICML2024 hosted by @GRaM_workshop
Very excited to announce the 2nd edition of the Topological Deep Learning Challenge, hosted at @icmlconf 2024 by @GRaM_workshop 🌐 Ready to go beyond the graph domain? Implement a topological lifting, and get published! 💫 Challenge website📢: pyt-team.github.io/packs/challeng…
@AToliasLab @bcm_neurosci @Stanford Excited to have you in NorCal!
@AToliasLab @bcm_neurosci @Stanford Excited for your arrival in the Bay Area!
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