Lev Telyatnikov
@lev_telyatnikov
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Moving forward Topological Deep Learning @SapienzaRoma (PhD)
Italy |
Joined October 2020
🚨 20 DAYS LEFT to submit to the Topological Deep Learning Challenge! TopoBench just hit 200 stars 🌟, and we're looking forward to seeing your submissions before the deadline. This year's challenge has multiple ways to contribute and prizes. All details: https://t.co/JDRgKVmOAH
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🚀Don’t miss out on the Topological Deep Learning Challenge 2025! 20 days left to submit – more than enough time to make your mark🍩 👇See details and prize info below🌟 @geometric_intel @UCSBengineering @ucsantabarbara @EPFL @mathildepapillo @gbg1441 @lev_telyatnikov
🚨 20 DAYS LEFT to submit to the Topological Deep Learning Challenge! TopoBench just hit 200 stars 🌟, and we're looking forward to seeing your submissions before the deadline. This year's challenge has multiple ways to contribute and prizes. All details: https://t.co/JDRgKVmOAH
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Cool news: our extended Riemannian Gaussian VFM paper is out! 🔮 We define and study a variational objective for probability flows 🌀 on manifolds with closed-form geodesics. @FEijkelboom @a_ppln @CongLiu202212 @wellingmax @jwvdm @erikjbekkers 🔥 📜 https://t.co/PE6I6YcoTn
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Thrilled to see these two papers by @SMataigne co-authored with P.-A. Absil published this month 🤩 They connect deep mathematical theory to practical algorithms on the Stiefel manifold and the approximation of the Riemannian barycenter 🌐 Details & papers👇@geometric_intel
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Interested in Topological Deep Learning?🍩 20 days is more than enough to participate in the Topological Deep Learning challenge 2025! Details (including prizes) below 🌟 @geometric_intel @UCSBengineering @ucsantabarbara @EPFL @mathildepapillo @gbg1441 @lev_telyatnikov
🚨 20 DAYS LEFT to submit to the Topological Deep Learning Challenge! TopoBench just hit 200 stars 🌟, and we're looking forward to seeing your submissions before the deadline. This year's challenge has multiple ways to contribute and prizes. All details: https://t.co/JDRgKVmOAH
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🚨 20 DAYS LEFT to submit to the Topological Deep Learning Challenge! TopoBench just hit 200 stars 🌟, and we're looking forward to seeing your submissions before the deadline. This year's challenge has multiple ways to contribute and prizes. All details: https://t.co/JDRgKVmOAH
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This is the final 20-day countdown! Our step-by-step tutorial makes it easy to get started, especially for dataset contributions (Mission A), which can be added in just a couple of hours. Check the tutorial and submit your work:
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Do you have ideas for new tasks within TDL? Or a completely new challenge of your own? Then Mission B, Category B.2 is for you: Pioneering New TDL Benchmark Tasks! We want to see your most creative and impactful ideas.
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Are you interested in large-scale Topological Deep Learning? We are too! That's why Mission B, Category B.1 is focused on Advancing the Data Infrastructure. This is your chance to make TDL more scalable and robust.
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"But I don't have a novel dataset!" No problem! Mission A is all about growing the TopoBench ecosystem. Datasets are NOT required to be novel. If you have topological data, make it available within TopoBench to compete. It's that simple!
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As a reminder, we have incredible prizes for winners, graciously offered by our partners: 💰 Win cash prizes up to $800 USD from #ArlequinAI 🎓 Secure prestigious internships: @UCSB (for PhD students) @EPFL (for Master's students)
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We are ✨42✨ days away from the Topological Deep Learning Challenge deadline! Not sure where to start? Participating is as simple as implementing an existing graph dataset :) Win cash prizes up to 800$ USD graciously offered by #ArlequinAI or internships at @UCSB and @EPFL
🏆Excited to announce that the 2025 Topological Deep Learning Challenge is officially live!🏆 This year, push the boundaries of topological ML by “Expanding the Data Landscape” Win incredible prizes, including research internships at @UCSB & @EPFL and up to $800 in cash!💸
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Prizes, research gigs, and a chance to twist data into new shapes with topology + ML? 👾 Count me in for the Topological Deep Learning Challenge 2025! 🌀 Who else is ready to expand the data universe?
The Topological Deep Learning Challenge is BACK! And this time, we're talking new data: new domains, new tasks, and much more! Not only is this the most ambitious, interdisciplinary edition yet... but there's 💰 prizes and internship opportunities on the line. See you there!
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The Topological Deep Learning Challenge is BACK! And this time, we're talking new data: new domains, new tasks, and much more! Not only is this the most ambitious, interdisciplinary edition yet... but there's 💰 prizes and internship opportunities on the line. See you there!
🏆Excited to announce that the 2025 Topological Deep Learning Challenge is officially live!🏆 This year, push the boundaries of topological ML by “Expanding the Data Landscape” Win incredible prizes, including research internships at @UCSB & @EPFL and up to $800 in cash!💸
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The Topological Deep Learning Challenge is back!🍩🤖 Bigger, bolder, and ready to expand the impact of TDL for science & engineering. By @gbg1441 @lev_telyatnikov @mathildepapillo Miquel Ferriol Marco Montagna Raffael Theiler Olga Fink @TAGinDS @geometric_intel & Arlequin AI!
🏆Excited to announce that the 2025 Topological Deep Learning Challenge is officially live!🏆 This year, push the boundaries of topological ML by “Expanding the Data Landscape” Win incredible prizes, including research internships at @UCSB & @EPFL and up to $800 in cash!💸
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Due to a record # of submissions for our NeurIPS workshop on Symmetry & Geometry in Neural Representations ( https://t.co/f8mfGsZIoV), we're looking for volunteers to serve as Reviewers. So many phenomenal submissions. Send me your OpenReview email if you'd like to contribute!
neurreps.org
NeurIPS 2025 Sunday, December 7th, 2025 8:00 am PST, Upper Level Ballroom 6A San Diego, USA
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📢We are very excited to announce a ✨two-day TAG event ✨(alongside NeurIPS) in San Diego! Join us for an exciting two days filled with incredible speakers, panelists, and multiple poster sessions. 🌟Submission deadline is 1st October AOE. Call for papers is here!
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The chapter on automatic differentiation is my favorite!
*Alice's book got a (minor) upgrade!* Thanks to the dozens of people who gave feedback, now with 1000% less typos and errors, a novel set of Colab lab sessions, and a brand-new CC-BY-SA license. 🙃 https://t.co/jdjs9Gor0v
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*Alice's book got a (minor) upgrade!* Thanks to the dozens of people who gave feedback, now with 1000% less typos and errors, a novel set of Colab lab sessions, and a brand-new CC-BY-SA license. 🙃 https://t.co/jdjs9Gor0v
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