Vishal RajputinAIGuysGeometric Deep Learning IntroductionDo you want to know why Deep Learning works so well, what are its mathematical underpinnings? Then look no further than Symmetry.Aug 261
Michael GalkininTowards Data ScienceFoundation Models in Graph & Geometric Deep LearningIn this post, we argue that the era of Graph FMs has already begun and provide a few examples of how one can use them already today.Jun 188
Michael GalkininTowards Data ScienceGraph & Geometric ML in 2024: Where We Are and What’s Next (Part I — Theory & Architectures)Trends and recent advancements in Graph and Geometric Deep LearningJan 162Jan 162
Jason McEweninTowards Data ScienceDifferentiable and Accelerated Spherical Harmonic TransformsIn JAX and PyTorchMar 141Mar 141
Vishal RajputinAIGuysGeometric Deep Learning IntroductionDo you want to know why Deep Learning works so well, what are its mathematical underpinnings? Then look no further than Symmetry.Aug 261
Michael GalkininTowards Data ScienceFoundation Models in Graph & Geometric Deep LearningIn this post, we argue that the era of Graph FMs has already begun and provide a few examples of how one can use them already today.Jun 188
Michael GalkininTowards Data ScienceGraph & Geometric ML in 2024: Where We Are and What’s Next (Part I — Theory & Architectures)Trends and recent advancements in Graph and Geometric Deep LearningJan 162
Jason McEweninTowards Data ScienceDifferentiable and Accelerated Spherical Harmonic TransformsIn JAX and PyTorchMar 141
Jason McEweninTowards Data ScienceA Brief Introduction to Geometric Deep LearningAI for complex dataJul 25, 20222
Claudio BattiloroE(n) Equivariant Topological Neural NetworksSynergizing higher-order interactions and (Euclidean) symmetries in dataJul 23
Matteo CiprianinTowards Data ScienceA gentle introduction to Steerable Neural Networks (part 1)What are Steerable Neural Networks and contextNov 21, 20237
