Erik Bekkers @erikjbekkers
Assis. Prof @AmlabUva @UvA_Amsterdam @Ellis_Amsterdam | @ELLISforEurope Scholar | Geometric and Group Equivariant Deep Learning | Idealist scholar.google.com/citations?hl=e… Amsterdam, the Netherlands Joined September 2019-
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We started releasing the first chapters of our Geometric Deep Learning book and the accompanying slides from the corresponding Oxford and Cambridge courses.
We started releasing the first chapters of our Geometric Deep Learning book and the accompanying slides from the corresponding Oxford and Cambridge courses.
Get ready for another edition of @SashimiWorkshop ! Paper deadline June 14, accepted papers will be published in LNCS Proceedings. More info and CfP on the website ⬇️
Get ready for another edition of @SashimiWorkshop ! Paper deadline June 14, accepted papers will be published in LNCS Proceedings. More info and CfP on the website ⬇️
Excited to announce that we're organizing a workshop on Geometric Deep Learning at #ICML! Topics range from generative models to equivariant networks and structured representations 🌐 Looking forward to receiving your submissions and seeing you there 🌟 gram-workshop.github.io
Excited to announce that we're organizing a workshop on Geometric Deep Learning at #ICML! Topics range from generative models to equivariant networks and structured representations 🌐 Looking forward to receiving your submissions and seeing you there 🌟 gram-workshop.github.io
This was an outstanding and inspiring lecture by @davidwromero ! If you want to get up to speed with SSMs / long-conv models (CKConv, Hyena, Mamba, etc) —which beat transformers, please watch back the recordings! My take-home as usual is: convolution is all you need! 🙃
This was an outstanding and inspiring lecture by @davidwromero ! If you want to get up to speed with SSMs / long-conv models (CKConv, Hyena, Mamba, etc) —which beat transformers, please watch back the recordings! My take-home as usual is: convolution is all you need! 🙃 https://t.co/mJeSNXgLHp
Incredibly excited to get ✨GRaM of the ground! Thanks @SharvVadgama for leading this initiative. We got a great partnership with @TAGinDS too! Stay tuned for more info. In the meantime, start on your submission to our proceedings and blogpost tracks! gram-workshop.github.io
Incredibly excited to get ✨GRaM of the ground! Thanks @SharvVadgama for leading this initiative. We got a great partnership with @TAGinDS too! Stay tuned for more info. In the meantime, start on your submission to our proceedings and blogpost tracks! gram-workshop.github.io
The next stop is Clifford EGNNs by @djjruhe et al. The speedup here is simply insane, and I couldn't believe my eyes when I first saw it. important: for some reason, torch.compile doesn't work for the original implementation. code: github.com/maxxxzdn/jax-g…
The next stop is Clifford EGNNs by @djjruhe et al. The speedup here is simply insane, and I couldn't believe my eyes when I first saw it. important: for some reason, torch.compile doesn't work for the original implementation. code: github.com/maxxxzdn/jax-g… https://t.co/yE7S3soluf
💥 We are excited that @davidwromero (@nvidia) will talk about 'Beyond Transformers: Exploring Subquadratic Long-Context Architectures' at the upcoming Deep Thinking Hour Tutorial! 📅 Thu, April 11th ⏰️09:00 - 11:00 📍L1.01 of @Lab42UvA Come and deep think with us! 🏍
TAG-ML will look different at ICML this year with TAG elements inside a new workshop (led by prior TAG-MLers ❤️). You’ve made TAG so successful we are planning for a stand alone, multi-day event in May 2025! Interested in a virtual workshop in the interim?surveymonkey.com/r/GNPQD5Q
Our survey "Hyperbolic Deep Learning in Computer Vision: A Survey" has been accepted to #IJCV! The survey provides an organization of supervised and unsupervised hyperbolic literature. Online now: link.springer.com/article/10.100… w/ @GhadimiAtigMina @mkellerressel @jeffhygu @syeung10
Thrilled to launch EquiAdapt! 🚀 A library for equivariant adaptation of neural networks, including SAM by @AIatMeta, making them robust to transformations without losing efficiency: github.com/arnab39/equiad… w/ @ArnabMondal96 @DanieBenes @sekoumarkaba @GagnonJikael 🧵
Like to work on cutting edge generative AI using physics tools such as the Renormalization Group, with the briliant mathematician & physicist prof Miranda Cheng at U. Amsterdam (co-supervised by me)? Think no more and apply to below! academicjobsonline.org/ajo/jobs/27314
Do you want to train massive deep learning models with ease? Our 10 new tutorial notebooks of our popular UvA DL course show you how, implementing data, pipeline and tensor parallelism (and more) from scratch in JAX+Flax! 🚀🚀 Check them out here: uvadlc-notebooks.readthedocs.io/en/latest/tuto… 🧵 1/11
Implicit steerable kernels are taking off! 🚀 We significantly simplified the code and now support steerable convolutions on both regular and irregular grids! 🛠️Code: github.com/maxxxzdn/impli… 🗒️ Google Colab tutorial: colab.research.google.com/drive/1mE_9GRW… 🧵1/8
GA-ReLU: New paper accepted at #ICLR Workshop on #AI4Differential Equations in Science paper + code here: shorturl.at/flN01 picking the right activation in ML problems function is a fundamental choice.
Remco Duits' group at the @TUeindhoven (Geometric Learning and Differential Geometry Group) has an assistant prof vacancy in Geometric Learning and Image Analysis. Please consider this as an exciting opportunity to join the Dutch GDL network too! jobs.tue.nl/en/vacancy/ass…
🎉 Our paper "How to Train Neural Field Representations" (fit-a-nef.github.io) has been accepted at #CVPR2024! Grateful to the team @RValperga @davidmknigge @MiltosKofinas @phillip_lippe and supervisors @Efstratios and Jan-Jakob Sonke!🙌 (1/4)
The @UvA_Amsterdam and @ELLISforEurope are starting a masterclass series where experts explain all about their favourite topics in and around Machine Learning. Join us for the first on March 6th; "Differential Geometry for Deep Learning" masterclass by @gabel_alex. ✨ 👇
Tonight (/morning/afternoon, it is 9pm CET = 3pm EST) I'll be presenting our "Ponita" paper (ICLR'24) at the PennU GRASP Seminar: It'll be about weight-sharing in homogeous spaces and efficient equivariant graph neural networks! 🐴🔥 For zoom link see: grasp.upenn.edu/events/spring-…
It's going to happen! What? Generative Modeling Summer School 2024 (#GeMSS24)! When: June 24-28, 2024 Where: Eindhoven, the Netherlands (@TUeindhoven, @Brainport_int) Info: gemss.ai Application deadline: March 31, 2024 Don't wait, apply!
Michael Bronstein @mmbronstein
43K Followers 4K Following #DeepMind Professor of #AI @UniofOxford / Fellow @ExeterCollegeOx / ML Lead @ProjectCETI / https://t.co/kZpGpDzYeVGabriel Peyré @gabrielpeyre
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30K Followers 555 Following Staff Research Scientist @GoogleDeepMind | Affiliated Lecturer @Cambridge_Uni | Associate @clarehall_cam | GDL Scholar @ELLISforEurope. Monoids. 🇷🇸🇲🇪🇧🇦Max Welling @wellingmax
32K Followers 428 FollowingSindy Löwe @sindy_loewe
3K Followers 361 Following PhD Student with @WellingMax at the University of Amsterdam. Deep Learning with Structured Representations.Kosta Derpanis @CSProfKGD
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2K Followers 553 Following Postdoctoral Fellow @TechnionLive — Geometric Deep Learning in some of its various forms — PhD @imperialcollege — Previously @twitter, @fabula_ai and @polimiRomain Lacombe @rlacombe
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290 Followers 4K Following CS PhD student at UoB in the United Kingdom. Research interests: Automated Machine Learning, Online Learning, and Reinforcement Learning 🏳️🌈Filipe Laitenberger @FLaitenber23987
0 Followers 7 FollowingPensé FFun @inftyCategory
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8 Followers 70 FollowingNaman Kumar @NamanKu90416766
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3 Followers 524 Following Nice to meet you. My hobbies are reading, food and sports. I like cats😘 I like to meet new friends while traveling🎉🎉🎉Gagan Jain @gaganjain1582
47 Followers 716 Following Predoc Researcher @GoogleDeepMind | IIT Bombay'22Martin Sedláček @_MartinSedlacek
1 Followers 48 Followingliuyong @forrestbing
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43 Followers 544 FollowingVineet Jain @thevineetjain
343 Followers 298 Following PhD candidate @Mila_Quebec and @mcgillu. Previously @mldcmu @Bosch_AIPedro Malzoni @pedro_malzoni
33 Followers 565 FollowingMarkus Rauhalahti, Ph.. @MRauhalahti
856 Followers 5K Following Independent researcher: molecular design/nanotech, human-AI collab, informetrics, DIY-scihw. Prev compchem/biophys/info phd&postdoc @helsinkiuniTzu-Yuan Lin @JustinTzuYuan
241 Followers 263 Following PhD student @UMRobotics, working on state estimation, robot perception, and symmetries in deep learning.Hannah Grace @iam_hannahgr
31 Followers 1K FollowingKun (Kevin) SUN @Sharp_K_Sun
230 Followers 2K Following Scientist Researcher @ Tübingen University and Professorial Research Fellow @ Fudan University, and interested in LLMs, NLP, and computational cognition .Aakanksha Chowdhery @achowdhery
7K Followers 3K Following LLMs @ Google DeepMind :: PaLM, Gemini // Previously @MSFTResearch, @Stanford, @Princeton // views my own and subject to changeBartosz Cywinski @bartoszcyw
20 Followers 446 FollowingGram Workshop @GRaM_workshop
6 Followers 144 Following Hi, I am the official account for the first edition of GRaM: Geometry-grounded Representation learning and generative Modeling Workshop at ICML2024Çağatay Yıldız @CgtyYldz
697 Followers 2K Following Postdoc @bethgelab. @csaalto before. @bogazici_cmpe even before.Lida Kanari @LidaKanari
702 Followers 839 Following Topological Data Analysis and Computational Neuroscience. Group leader, Blue Brain Project, EPFLnm @nm85552280
1 Followers 64 FollowingAoyang Chen @aoyangchen
177 Followers 2K Following MSc Student Biotechnology/Bioinformatics @WUR. Computational Biology Thesis @WU_BioInfo. Strives for Predictive Toxicology & Drug Discovery with AI.Luka @srboljubbosanac
5 Followers 299 FollowingTAGinDS @TAGinDS
1K Followers 220 Following Mathematical data scientists leveraging Topology, Algebra, and Geometry (TAG) in Data ScienceBenjy Friedmann @BenjyFried87055
5 Followers 67 FollowingAntonios Tragoudaras @TonyTragoudaras
19 Followers 84 Following Graduate Student - Artificial Intelligence @UvA_AmsterdamYonatan Gideoni @YGideoni
57 Followers 107 FollowingColin O'Donnell @colin_odonnell
33 Followers 91 Following Serial Founder - Control Group (Alphabet acquisition), Intersection, LinkNYC, Kift, currently working on a stealth Foundational AI startupMichael Bronstein @mmbronstein
43K Followers 4K Following #DeepMind Professor of #AI @UniofOxford / Fellow @ExeterCollegeOx / ML Lead @ProjectCETI / https://t.co/kZpGpDzYeVGabriel Peyré @gabrielpeyre
92K Followers 450 Following @CNRS researcher at @ENS_ULM. One tweet a day on computational mathematics.Petar Veličković @PetarV_93
30K Followers 555 Following Staff Research Scientist @GoogleDeepMind | Affiliated Lecturer @Cambridge_Uni | Associate @clarehall_cam | GDL Scholar @ELLISforEurope. Monoids. 🇷🇸🇲🇪🇧🇦Max Welling @wellingmax
32K Followers 428 FollowingSindy Löwe @sindy_loewe
3K Followers 361 Following PhD Student with @WellingMax at the University of Amsterdam. Deep Learning with Structured Representations.Peyman Milanfar @docmilanfar
67K Followers 260 Following Distinguished Scientist at Google Research. Computational Imaging, Machine Learning, and Vision. Tweets = personal opinions. May change or disappear over time.Kosta Derpanis @CSProfKGD
48K Followers 198 Following #CS Associate Prof @YorkUniversity, #ComputerVision Scientist Samsung #AI, @VectorInst Faculty Affiliate, TPAMI AE, #CVPR2024/#ECCV2024 Publicity Co-chairFrank Nielsen @FrnkNlsn
23K Followers 1K Following Machine Learning & AI, Information Sciences & Information Geometry, Distances & Statistical models, HPC. "Geometry defines the architecture of spaces" @SonyCSLTaco Cohen @TacoCohen
21K Followers 3K Following Deep learner at FAIR. Into codegen, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.Michael Black @Michael_J_Black
58K Followers 638 Following Director, Max Planck Institute for Intelligent Systems (@MPI_IS). Chief Scientist @meshcapade. Building 3D digital humans using vision, graphics, and learning.Yi Ma @YiMaTweets
71K Followers 123 Following Chair Professor in AI, Director of IDS, Head of CS, HKU; Professor of EECS, Berkeley; Author of Book: High-Dim Data Analysis, https://t.co/gwaqMJp8av.PyTorch @PyTorch
379K Followers 77 Following Tensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundationClément Canonne @ccanonne_
31K Followers 927 Following Senior Lecturer @Sydney_Uni. Postdocs @IBMResearch, @Stanford; PhD @Columbia. Converts ☕ into puns: sometimes theorems. He/him. @[email protected]Kevin Patrick Murphy @sirbayes
42K Followers 334 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.Learning on Graphs Co.. @LogConference
7K Followers 750 Following LoG is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.Hannes Stärk @HannesStaerk
8K Followers 332 Following @MIT PhD student • ML for molecular biology and flow generative modelsJürgen Schmidhuber @SchmidhuberAI
106K Followers 0 Following Invented principles of meta-learning (1987), GANs (1990), Transformers (1991), very deep learning (1991), etc. Our AI is used many billions of times every day.Dmytro Mishkin 🇺�.. @ducha_aiki
18K Followers 591 Following Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working.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/Run9wPnZt9David Pfau @pfau
22K Followers 1K Following Knowledge manifests itself in radiant dreams that shimmer like the wild sun Views are my own pfau at sigmoid dot social on 🦣 https://t.co/xqtVHHVI17 on 🦋Romain Lacombe @rlacombe
6K Followers 6K Following AI/ML⚡️+ chemE 🧪 @stanford | Prev: founder & CEO @Plume_Labs (acq’d @AccuWeather) | Born at 344 ppm.Daniel Dennett @danieldennett
299K Followers 75 Following I'm an author and philosopher of mind and cognitive scientist @philosophytufts.Louisa Cornelis @louisacornelis
45 Followers 36 Following physics phd student at ucsb @geometric_intel, prev @onepeloton, cs and physics and art @scrippscollege @harveymuddLida Kanari @LidaKanari
702 Followers 839 Following Topological Data Analysis and Computational Neuroscience. Group leader, Blue Brain Project, EPFLDavid Klindt @klindt_david
1K Followers 2K Following NeuroAI | assistant professor @CSHL | views my ownMarvin Schmitt @MarvinSchmittML
665 Followers 490 Following Generative models + ProbML + Robustness | Final-Year @ELLISforEurope PhD student @Uni_Stuttgart + @AaltoUniversity | prev. CS + Psychology @UniHeidelbergMehran Shakerinava @MShakerinava
294 Followers 387 Following PhD student in CS at @mcgillu & @Mila_QuebecSimon Lacoste-Julien @SimonLacosteJ
3K Followers 7 Following Machine learning professor at Mila / University of Montreal. Like to understand things - ML, optimization and statistics, but also philosophy, society and yoga.Jonathan Heek @JonathanHeek
234 Followers 5 FollowingTeddy @tedyerxa
153 Followers 349 Following Neuroscience PhD candidate in the Simoncelli lab at NYU. Trying to force computers to learn things the way people do.Julián Tachella @TachellaJulian
481 Followers 348 Following @CNRS research scientist, based at @ENSdeLyon. I'm interested in AI for imaging inverse problems Looking to hire phds/postdocs! 🇦🇷 🇬🇧 🇫🇷Matthieu Terris @MatthieuTerris
175 Followers 470 Following Postdoctoral researcher in the MIND team at INRIA. https://t.co/nS7HYgPNZRJavier Antorán @JaviAC7
701 Followers 438 Following Interested in Bayesian Inference and Molecular Dynamics @CambridgeMLG.Baptiste GENEST @Eulerson314
214 Followers 761 Following Applied math and Geometry lover, discrete geometer wannabe, Applied Math Graduate Student at @UnivLyon1 he/himMichelle M. Li (李�.. @_michellemli
793 Followers 376 Following PhD candidate @marinkazitnik @HarvardDBMI | Math/CS/Bio @Stanford | Founder @rerootstem | Graph machine learning for biology & medicine.LOGML Summer School @LogmlSchool
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2K Followers 680 Following Mathematician and Systems Biologist. Interested in geometry and topology of data & diversity in science. UMass/Imperial/UnivOx/MPINadine Dijkstra @nadine_dijkstra
3K Followers 963 Following Senior research fellow @WCHN_UCL of mental imagery, perception and reality monitoring. She/her. mstdn: @nadinedijkstra.bsky.socialChristian Wolf @chriswolfvision
7K Followers 1K Following Principal Scientist at @NaverLabsEurope, Lead of Spatial AI team. AI for Robotics, Computer Vision, Machine Learning. Austrian in France. IEEE-PAMI area editor.Ewa Szczurek @ewa_szczurek
623 Followers 282 FollowingGiovanni Luca Marchet.. @giovannimarchet
242 Followers 53 Following PhD student at KTH (Stockholm) in Deep Learning and Computational Geometry.Reda ElGhawi @Redaghawi5
36 Followers 88 Following Researcher #MPI_BGC 🇩🇪 Msc & BSc #AUB 🇱🇧 #STEM, #travel, #food and #owl enthusiastDavid Chalmers @davidchalmers42
29K Followers 667 Following philosopher@NYU. consciousness, reality+, life, the universe, and everything.Marloes Arts @ArtsMarloes
565 Followers 310 Following Scientist in discovery data science @Genmab. Previously postdoc at @KU_BioML and intern at @MSFTResearch. Interested in everything ML and proteins.Animesh Awasthi @Animesh0303
19 Followers 84 Following Biotechnology | IIT Kharagpur'23 I am computational biology enthusiast interested in understanding biology using code!Joelle Pineau @jpineau1
10K Followers 352 Following AI researcher. VP AI Research (FAIR), @AIatMeta. Professor of Computer Science, @mcgillu. Core academic member, @Mila_QuebecToon Van de Maele @toonvdm
83 Followers 308 FollowingGiovanni Pezzulo @GiovanniPezzulo
551 Followers 0 FollowingSamuel Ruiperez-Campi.. @sruiperez98
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225 Followers 108 Following Doing maths research (geom. analysis, metric geometry, large point configs., opt. transport, etc) since ~2010, deep learning and applied research since ~2020.Puck van Gerwen @puckvg
415 Followers 413 Following PhD student @EPFL @corminboeuf_lab @NCCR_Catalysis in #ML for quantum chemistry / chemical reactions. Previously @MSFT_Research @imperialcollege @EdinburghChemJohannes Lutzeyer @JLutzeyer
402 Followers 441 Following Assistant Professor @Polytechnique | Interested in GNNs and graph representation | PhD thesis: https://t.co/RAnht6Nh9RMichael Yang @Michael74726307
73 Followers 194 Following Scene Understanding Group, University of Bathmholz314 @mholz314
56 Followers 75 Following Postdoc interested in Mathematical Physics and Machine Learning TheoryVeronika Thost @veronikathost
194 Followers 513 Following Research Scientist @MITIBMLab @IBMResearch | Representation Learning, Graph Neural Networks, Knowledge RepresentationLorenzo Giusti @lorgiusti
693 Followers 264 Following Geometric and Topological Deep Learning for particle physics @cernChristian Andersson N.. @chris_naesseth
2K Followers 317 Following Researcher interested in creativity, reasoning, and uncertainty in machine learning as well as their application to the sciences.Michael Phillip @THIRDEYEDROPS
7K Followers 2K Following 👨🏻💻Third Eye Drops podcast & YouTube | 🍄 Servant of wonder l Not active here, find me in the other spotsIlze Amanda Auzina @AmandaIlze
100 Followers 96 Following PhD Candidate | Dynamical Systems (ODE, SDE, PDE) | Generative Modelling | Diffusion | Neural ODEs | BayesianNew paper alert: introducing AccGeoLDM, an accelerated equivariant latent diffusion model. We speed up generation of molecular conformations by ~8x with limited loss in quality! Excited to present at @iclr_conf @gembioworkshop 2024 in Vienna. Links to paper & code below. 🧵⬇️
Insects and Other Animals Have Consciousness, Experts Declare | Quanta Magazine quantamagazine.org/insects-and-ot…
Seeking: Creative and ambitious computational neuroscience / ML PhDs interested in building next-generation brain-computer interfaces. My team at science.xyz is hiring research scientists. Reach out at [email protected] for more info.
Happy to see the research we are doing at Traverse is paying off!
We present A Fresnel Model for Coated Materials at Eurographics this year, where we propose an analytical RGB model for rendering coated conductors. Our method provides improved accuracy of Fresnel reflectance in BRDFs. I'll be presenting this paper Wednesday at 9:00 in Megaron A
Idealism is often seen as entailing that the world exists just in our heads, which is obviously false. Rising philosophical star Jeremy Dunham argues that this view of idealism is a misconception. Idealism is a much more realist worldview than we think. essentiafoundation.org/thoughts-are-m…
1000+ citations 🍾 AMAZING collaboration with AMAZING people! ❤️ @geopavlakos @XiaoweiZhou5 @KostasPenn
Here's also a talk summarizing our recent work on diffusion models for probabilistic Neural solvers: youtu.be/xaWxERImy0g , it covers the whole range: from steady state cases, over time-dependent surrogates, to integrating differentiable solvers. Enjoy!
After 3 years, it's time for us to start sharing the chapters of the GDL book! ❤️ Also included: companion slides from our @Cambridge_Uni & @UniofOxford courses 🧑🎓 Chapter 1 is out **now**! More to follow soon 🎉 geometricdeeplearning.com/book 📖 @mmbronstein @joanbruna @TacoCohen
We started releasing the first chapters of our Geometric Deep Learning book and the accompanying slides from the corresponding Oxford and Cambridge courses.
After 3 years, it's time for us to start sharing the chapters of the GDL book! ❤️ Also included: companion slides from our @Cambridge_Uni & @UniofOxford courses 🧑🎓 Chapter 1 is out **now**! More to follow soon 🎉 geometricdeeplearning.com/book 📖 @mmbronstein @joanbruna @TacoCohen
THRILLED to share that I've joined @ELLISforEurope as a member 🇬🇷🇪🇺
On the Scalability of GNNs for Molecular Graphs "Scaling laws for GNNs" This is about activity/property prediction: - Pre-training on more molecules helps When you read the paper, keep in mind: SOTA for most tasks is descriptors+xgboost (Fig 4). P: arxiv.org/abs/2404.11568
The attention mechanism of Transformers resembles a modern iteration of associative memory models from neuroscience. I show auto- & hetero-associative mixtures can perform a range of tasks + suggest new neuro-inspired Transformer interp approaches. Link: arxiv.org/abs/2404.07123
VN-EGNN: E(3)-Equivariant GNNs with Virtual Nodes Enhance Protein Binding Site Identification New method to find binding pockets of proteins. Virtual nodes allow to employ distance losses directly. P: arxiv.org/abs/2404.07194 C: github.com/ml-jku/vnegnn 🤗:huggingface.co/spaces/ml-jku/…
Got to meet this one visualisation wizard in person! Truly impressive presentation. My student got star struck as well! 😁 Thanks, @gabrielpeyre, for the amazing talk and being incredibly humble while listening to the feedback. Thanks, @joanbruna, for inviting him!
For those in NYC I am giving a seminar on conservation laws for gradient flows in the Center for Data Sciences tomorrow at 2PM cds.nyu.edu
@erikjbekkers @sami_ede @davidmknigge Yes! I am currently coordinating with @davidmknigge to re-do the final part for which the Internet was a bit choppy + the part that we didn't touch due to time. We'll update you all soon :)
Get ready for another edition of @SashimiWorkshop ! Paper deadline June 14, accepted papers will be published in LNCS Proceedings. More info and CfP on the website ⬇️
We’re thrilled to announce #SASHIMI2024 at #MICCAI2024 in Marrakesh! 🌍✨ Please join us for the 9th SASHIMI workshop and contribute to the future of simulation and synthesis in medical imaging! Important dates and call for papers: 2024.sashimi-workshop.org/call_for_paper… #MedicalImaging
Apollonian gaskets are fractal domains defined by progressively packing the largest enclosed disks. en.wikipedia.org/wiki/Apollonia…