We curated 40+ quantum mechanics datasets covering 250+ quantum methods & 1.5B geometries. All of this is easily accessible through the OpenQDC library. 🧵
Harness the power of QM data with a single line of code: openqdc.io
Blog: valencelabs.com/blog-posts/ope…
Upcoming #ELLISProgram Workshop: Free, hybrid session on Machine Learning for Molecules & Materials in the Era of LLMs on Dec 6, 2024!
For more information and registration details, visit the official workshop page: moleculediscovery.github.io/workshop2024/
What if any neural network could go topological? While being just as (or more) general, equivariant, and expressive as other Topological Deep Learning models? Without a hacky, case-by-case software struggle?
I am beyond excited to introduce TopoTune💫
arxiv.org/pdf/2410.06530
Excited to release HuggingChat 💬 - a native macOS app that brings powerful open-source language models straight to your desktop - with markdown support, web browsing, code syntax highlighting and much more!
It’s been a week since we wrapped up an exciting school on topology, combinatorics, and data analysis in Voronezh, coorganized with my friends @bekemax, Andrey Ryabichev, and Dima Vasiliev. Tnx to CS HSE and AMM VSU for the support!
More info (in Russian): is.gd/kWnTke
Deep Learning on Graphs: Past, Present, And Future
Graph representation learning has recently become one of the hottest topics in machine learning.
One particular instance, graph neural networks, is being used in a broad spectrum of applications ranging from 3D computer vision…
Had a great time participating in the @GRaM_org_ challenge at #ICML2024! It was an incredible experience implementing different liftings and passing constructions from pure math. Many thanks to the organizers @PyT_Team_@gbg1441@lev_telyatnikov!
Had a great time participating in the @GRaM_org_ challenge at #ICML2024! It was an incredible experience implementing different liftings and passing constructions from pure math. Many thanks to the organizers @PyT_Team_@gbg1441@lev_telyatnikov!
Topological Deep Learning is an immensely powerful and fast emerging field. Our new literature review arxiv.org/abs/2304.10031 is out and here’s why I’m very excited about it🧵1/5
Has anyone ever come across this way of visualizing the convolution of two functions f and g: Look at the graph of the two-variable function f(x)g(y), and consider diagonal slices over the line x + y = k.
The area of those slices represents (f * g)(k).
“Wednesday” star Jenna Ortega reveals to New Yorker that “Higher Topos Theory” by Jacob Lurie was her latest read.
“While much of the early sections treats higher categories in general, and only from a quasi-categorical standpoint, this was a must read & did not disappoint!”
248 Followers 282 FollowingFaculty member at the School of Technology and Computer Science at @TIFRScience; Formerly @MIT, @iiscbangalore, @iitmadras, @Qualcomm, @JUFET
354 Followers 370 FollowingHi!
I am the official twitter account of GRaM: Geometry-Grounded Representation Learning and Generative Modeling workshop at ICML 2024.
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10K Followers 774 FollowingLoG 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.
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354 Followers 370 FollowingHi!
I am the official twitter account of GRaM: Geometry-Grounded Representation Learning and Generative Modeling workshop at ICML 2024.