#geometricdeeplearning résultats de recherche
Geometric deep learning for drug discovery is a really promising research direction to work on. I recently gave a tutorial on this topic. #GeometricDeepLearning #DrugDiscovery The slides are available here: drive.google.com/file/d/1Mfsn_l…
4K version of my ICLR keynote on #geometricdeeplearning is now on YouTube: youtube.com/watch?v=w6Pw4M… Accompanying paper: arxiv.org/abs/2104.13478 Blog post: towardsdatascience.com/geometric-foun…
What is in common between CNNs, GNNs, LSTMs, Transformers, DeepSets, mesh CNNs? In a new post with @joanbruna @TacoCohen @PetarV_93 we show this zoo of neural nets can be seen through the lens of symmetry. #geometricdeeplearning is all you need! tinyurl.com/b53bvwbx
The "5G" of #geometricdeeplearning Grids, Groups, Graphs, Geodesics, and Gauges. @wellingmax came up with "4G" for our @ELLISforEurope program but we had to add another G at the advice of @fhuszar in order to be modern
"Masked Attention is All You Need for Graphs" by @davidbuterez , Jon Paul Janet, @DinoOglic, and @pl219_Cambridge Paper: arxiv.org/abs/2402.10793 #graphneuralnetwork #geometricdeeplearning
Prof Joan Bruna from NY University giving his lecture on #GeometricDeepLearning. #AERFAI18 Summer Lectures @CVC_UAB
[SGP 1 of 2] You are looking at a band-limited adversarial attack on a deformable surface. How does it work? Find out how we do it *without* access to a parametric model for the shape under attack! Full talk here: youtube.com/watch?v=6mpQBf… #SGP2020 #geometricdeeplearning
We can't release details yet, but you are invited to make a guess based on this animation! (thanks @robdhess) How many of the 5G's of #GeometricDeepLearning do you think are involved?
To explore new catalysts for renewable energy storage, we joined the Open Catalyst Project and are currently at the top of the leaderboard! Work by @robdhess @jbrandi6 @ElisevanderPol @erikjbekkers @wellingmax. Details coming soon... opencatalystproject.org/leaderboard_is…
EXCITING time to be in #GeometricDeepLearning
New #MaSIF architecture for #geometricdeeplearning on proteins with @befcorreia @FreyrSverrisson @FeydyJean works directly on the atomic point cloud, computes the molecular surface on the fly, is end-to-end differentiable, and runs 10x-100x faster biorxiv.org/content/10.110…
Not the usual intro to graph representation learning by Michael Bronstein @mmbronstein, Love the big picture, the graphics and low-tech story-telling. buff.ly/3upldHi #geometricdeeplearning
Last month, I finished my PhD study 🎓@IllinoisCS and joined @AIatMeta as a Research Scientist 🧐for #GeometricDeepLearning and #NetworkScience Wholeheartedly grateful for the support and understanding from my advisor, committee members, collaborators, friends, and my family ❤️
#DeepLearning generally works well on Euclidean data, but it turns out that graphs & 3D objects are not in that category. #GeometricDeepLearning offers us a powerful solution to this problem! youtu.be/D3fnGG7cdjY
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Bronstein et al.: arxiv.org/abs/2104.13478 #GeometricDeepLearning #Graphs #DeepLearning
Holograms+ SO(3) equivariance+ latent representations + ML= Holographic VAE (H-VAE) excited to share our work (led by @GMarcoVisani) on representation learning while respecting rotational symmetry many applications to dream about doi.org/10.1101/2022.0… #GeometricDeepLearning
Some of the best moments in 3D computer vision are when a geometric proof explains why an algorithm works—or why it fails. There’s something satisfying about seeing clean math in noisy point clouds 🤔 #GeometricDeepLearning #ItzikThoughtLoop
🚨 Job Alert: We're hiring a Postdoc in Geometric Deep Learning & AI for Science! Join me & @mmbronstein in an exciting collaboration between AITHYRA and @tu_wien. Apply now 👉 aithyra.onlyfy.jobs/job/ltt3a9j6 #AIforScience #GeometricDeepLearning #Postdoc #AITHYRA #TUWien
to optimize treatment strategies for breast cancer patients. #GeometricDeepLearning #BreastCancer #HealthcareAI #DataScience #MachineLearning
AI isn’t just about language models. Meet PhysicsAI™ - it uses geometric deep learning to simulate complex physics outcomes up to 1,000x faster than traditional methods. From weeks to seconds. That’s the power of AI in engineering. #AIEngineering #GeometricDeepLearning…
🔬 New Framework Alert! We introduce a molecular dynamics-powered hierarchical geometric deep learning model for protein-ligand interactions 🧬✨ #MolecularDynamics #GeometricDeepLearning #AI4Science ieeexplore.ieee.org/document/10955…
AI Meets Dirac Structures – Unifying Constraints and Dynamics in Learning Systems open.substack.com/pub/satyamcser… #DiracAI #GeometricDeepLearning #HamiltonianAI #PhysicsInformedLearning #PortHamiltonianNN #MathematicsInAI #ControlTheory #satmis
AI Meets Lie Groupoids – Learning from Local Symmetries and Structured Transformations open.substack.com/pub/satyamcser… #GeometricDeepLearning #EquivariantAI #MathematicsInAI #StructuredLearning #satmis
AI Meets Jet Bundles – Learning from Derivatives, Not Just Data 📐⚡ open.substack.com/pub/satyamcser… #JetBundles #GeometricDeepLearning #PhysicsInformedAI #ScientificML #satmis #DifferentialGeometry #AIResearch #MachineLearning
AI Meets Deformation Theory – Learning from Shape Changes and Structural Adaptations 🔄📐 open.substack.com/pub/satyamcser… #DeformationTheory #MathematicsInAI #GeometricDeepLearning #AIResearch #TechTrends #satmis
AI Meets Noncommutative Geometry – A New Paradigm for Learning Beyond Euclidean Space 🔄📐 open.substack.com/pub/satyamcser… #NoncommutativeGeometry #MathematicsInAI #GeometricDeepLearning #AIResearch #TechTrends #satmis
AI Meets Fiber Bundles – A New Geometric Framework for Deep Learning 🔄📐 open.substack.com/pub/satyamcser… #FiberBundles #MathematicsInAI #GeometricDeepLearning #AIResearch #TechTrends #satmis
AI Meets Gauge Theory – A New Mathematical Framework for Learning Representations 🔄📐 open.substack.com/pub/satyamcser… #GaugeTheory #MathematicsInAI #GeometricDeepLearning #PhysicsInAI #AIResearch #TechTrends #satmis
AI Meets Hodge Theory – Bridging Deep Learning and Differential Geometry 🔄📐 open.substack.com/pub/satyamcser… #HodgeTheory #MathematicsInAI #GeometricDeepLearning #TopologyInAI #AIResearch #TechTrends #satmis
🚀 ICLR 2025 Oral Presentation – Top 1.8%! 🎉 I’m beyond excited to share that our team’s work—led by me—has earned an oral presentation at ICLR 2025, out of 11,672 submissions! openreview.net/forum?id=OIvg3… #ICLR2025 #GeometricDeepLearning
think graphs, meshes, or manifolds. It’s about understanding and processing the geometry and topology of data, not just its raw values. #GeometricDeepLearning #ArtificialIntelligence #DeepLearning #MachineLearning
Geometric deep learning for drug discovery is a really promising research direction to work on. I recently gave a tutorial on this topic. #GeometricDeepLearning #DrugDiscovery The slides are available here: drive.google.com/file/d/1Mfsn_l…
4K version of my ICLR keynote on #geometricdeeplearning is now on YouTube: youtube.com/watch?v=w6Pw4M… Accompanying paper: arxiv.org/abs/2104.13478 Blog post: towardsdatascience.com/geometric-foun…
Do we need deep graph neural networks? In a new blog post @TDataScience I try to find out towardsdatascience.com/do-we-need-dee… #geometricdeeplearning #graphneuralnetworks
Geometry of data & representations has been central in the design of modern deepnets. e.g., #GeometricDeepLearning arxiv.org/abs/2104.13478 by @mmbronstein, @joanbruna, @TacoCohen, @PetarV_93 What are the geometric design principles for “learning dynamics in parameter space”? 2/
What is in common between CNNs, GNNs, LSTMs, Transformers, DeepSets, mesh CNNs? In a new post with @joanbruna @TacoCohen @PetarV_93 we show this zoo of neural nets can be seen through the lens of symmetry. #geometricdeeplearning is all you need! tinyurl.com/b53bvwbx
𝗚𝗲𝗼𝗺𝗲𝘁𝗿𝗶𝗰 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 tinyurl.com/4bemrre3 #GeometricDeepLearning #ArtificialIntelligence #MachineLearning #GraphNeuralNetworks #AIApplications #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine
"Geometric Deep Learning" Grids, Graphs, Groups, Geodesics, and Gauges Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar Veličković: drive.google.com/file/d/1aDdHIz… #ArtificialIntelligence #DeepLearning #GeometricDeepLearning
𝗘𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗬𝗼𝘂 𝗡𝗲𝗲𝗱 𝘁𝗼 𝗞𝗻𝗼𝘄 𝗔𝗯𝗼𝘂𝘁 𝗚𝗲𝗼𝗺𝗲𝘁𝗿𝗶𝗰 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 bit.ly/3okC536 #GeometricDeepLearning #DeeplearningAlgorithms #EverythingAboutGeometricDeepLearning #ConvolutionalNeuralNetworks #IW #IWNews #IndustryWired
Course on Geometric Deep Learning Bronstein et al.: geometricdeeplearning.com/lectures/ #ArtificialIntelligence #DeepLearning #GeometricDeepLearning
The "5G" of #geometricdeeplearning Grids, Groups, Graphs, Geodesics, and Gauges. @wellingmax came up with "4G" for our @ELLISforEurope program but we had to add another G at the advice of @fhuszar in order to be modern
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Bronstein et al.: arxiv.org/abs/2104.13478 #GeometricDeepLearning #Graphs #DeepLearning
"Masked Attention is All You Need for Graphs" by @davidbuterez , Jon Paul Janet, @DinoOglic, and @pl219_Cambridge Paper: arxiv.org/abs/2402.10793 #graphneuralnetwork #geometricdeeplearning
New #MaSIF architecture for #geometricdeeplearning on proteins with @befcorreia @FreyrSverrisson @FeydyJean works directly on the atomic point cloud, computes the molecular surface on the fly, is end-to-end differentiable, and runs 10x-100x faster biorxiv.org/content/10.110…
Aaron Zweig joins us as a postdoctoral research scientist, co-mentored by Elham Azizi & David Knowles. His research focuses on #geometricdeeplearning, #causalinference, and #spatialtranscriptomics. Welcome, Dr. Zweig!
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