💻 GitHub: github.com/geometric-ke...
📄 JMLR Paper: www.jmlr.org/papers/v26/2...
#MachineLearning #GeometricDeepLearning #GaussianProcesses #Kernels #Graphs #Manifolds #JMLR #OpenSource
Latest posts tagged with #GeometricDeepLearning on Bluesky
💻 GitHub: github.com/geometric-ke...
📄 JMLR Paper: www.jmlr.org/papers/v26/2...
#MachineLearning #GeometricDeepLearning #GaussianProcesses #Kernels #Graphs #Manifolds #JMLR #OpenSource
How can voxels, meshes, and point clouds shape smarter AI in medicine?
Find out at the next #SanoSeminar by Marek Wodziński (Sano & AGH).
💻 Free online: sano.science/seminars/abs...
#AI #MedicalImaging #GeometricDeepLearning
Encoding geometry in neural network architectures has wide applications, from robots' configuration spaces to safety. We present natural ways to enforce constraints by design.
Link to preprint: www.researchgate.net/publication/...
#geometricdeeplearning
Beyond metric preservation: build symplectic structural invariance into representation.
arxiv.org/abs/2512.19409
#ReservoirComputing #RepresentationLearning #InformationGeometry #SymplecticGeometry #HamiltonianDynamics #GeometricDeepLearning #DynamicalSystems #PhysicsInformedML
🤓 We match or achieve SotA results among TDL models with orders of magnitude less complexity!
🫂 Amazing joint work with @GDasoulas, @mauriciogtec, @ekarais43, @audiracmichelle, @francescadomin8
#TopologicalDeepLearning #GeometricDeepLearning #EquivariantNeuralNetworks
"gRNAde: Geometric Deep Learning for 3D RNA inverse design" by @chaitjo.bsky.social , @arian-jamasb.bsky.social, Ramon Viñas, Charles Harris, Simon Mathis, Alex Morehead, Rishabh Anand, and Pietro Liò
Paper: www.biorxiv.org/content/10.1...
Code: github.com/chaitjo/geom...
#geometricdeeplearning
"Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges" by @mmbronstein.bsky.social, Joan Bruna, Taco Cohen, @petar-v.bsky.social
#geometricdeeplearning
📏We adapt existing graph neural networks and transformers to take neural graphs as input, and incorporate inductive biases from neural graphs.
In the context of #geometricdeeplearning, neural graphs constitute a new benchmark for graph neural networks.
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Very nice presentation by @omendezlucio about their recently published piece using #geometricdeeplearning to predict protein-ligand binding interactions #drugdiscovery #artificialintelligence
nature.com/articles/s4225…