"Graph Low-Rank Adapters of High Regularity for Graph Neural Networks and Graph Transformers" by PantelisPapageorgiou, Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, @mmbronstein.bsky.social
Paper: openreview.net/forum?id=gxh...
Code: github.com/PanPapag/GCo...
#graphneuralnetworks
"Towards Quantifying Long-Range Interactions in Graph Maine Learning: a Large Graph Dataset and a Measurement" by Huidong Liang, Haitz Sáez de Ocáriz Borde, Baskaran Sripathmanathan, @mmbronstein.bsky.social, Xiaowen Dong
Paper: arxiv.org/abs/2503.09008
#graphneuralnetworks #machinelearning
#diffusionmodels
There is a more clean and fresh air with the blue sky! 😉
"The Jungle of Generative Drug Discovery: Traps, Treasures, and Ways Out" by Rıza Özçelik, @fragrisoni.bsky.social
Paper: arxiv.org/abs/2501.05457
#machinelearning
"Tutorial on Diffusion Models for Imaging and Vision" by Stanley Chan
Paper: arxiv.org/abs/2403.18103
#machinelearning #diffusionmodels
"Task Singular Vectors: Reducing Task Interference in Model Merging" by Antonio Andrea Gargiulo, @crisostomi.bsky.social , @mariasofiab.bsky.social , @sscardapane.bsky.social, Fabrizio Silvestri, Emanuele Rodolà
Paper: arxiv.org/abs/2412.00081
Code: github.com/AntoAndGar/t...
#machinelearning
A nice tutorial that explores the basics of the JAX ecosystem from the lens of a PyTorch user.
#machinelearning #pytorch #jax
"... The secret sauce is hiring great people, providing a great infrastructure, collaborating across the board, and sharing profits with everyone. ..." - Jim Simons
#leadership #math #science #finance
"... The secret sauce is hiring great people, providing a great infrastructure, collaborating across the board, and sharing profits with everyone. ..." - Jim Simons
#leadership hashtag#math hashtag#science hashtag#finance
"EM Distillation for One-step Diffusion Models" by Sirui Xie, Zhisheng Xiao, @dpkingma.bsky.social, Tingbo Hou, Ying Nian Wu, Kevin Murphy, Tim Salimans, Ben Poole, @ruiqigao.bsky.social
Paper: arxiv.org/abs/2405.16852
#machinelearning #diffusionmodels
*A Journey into PyTorch, the Ecosystem, and Deep Learning Compilers*
Great seminar by @lantiga.bsky.social on the compiler's ecosystem and the recent Thunder framework by LightningAI! I have uploaded slides, video, & notebooks publicly. 🙂
www.sscardapane.it/seminars/pyt...
“Gratitude is a noble virtue. Live with gratitude and your heart will expand.” - Stephen R. Covey
Happy Thanksgiving to everyone who celebrates!
#happythanksgiving
Congrats @ian-goodfellow.bsky.social, @yoshuabengio.bsky.social and coauthors on your test of time @neuripsconf.bsky.social award about GAN seminal paper! Very well deserved!
blog.neurips.cc/2024/11/27/a...
Screen capture of LoG website. The conference is Nov 26-29, 2024. See our website for more details: https://logconference.org/.
✨EXCITING NEWS! We now have a Bluesky account!!
AND registration for the 3rd Learning on Graphs conference is open 😊
It is virtual, free to attend, livestreamed, and recorded 📹 Sign up today! The conference is this coming week 😱
forms.gle/eYiDCopJGUc8...
Graph Neural Networks Do Not Always Oversmooth" by Bastian Epping, Alexandre René, Moritz Helias, and Michael Schaub
Paper: arxiv.org/abs/2406.02269
#graphneuralnetworks
Our #TMLR paper "Gradient scarcity with Bilevel Optimization for Graph Learning" (w/ H Ghanem, @samuelvaiter.com) was accepted as an oral presentation at the Learning on Graphs conference 🤓
100% free and online, come check it out!
logconference.org
arxiv.org/abs/2303.13964
"Trajectory Flow Matching with Applications to Clinical Time Series Modeling" by Xi Zhang, Yuan Pu, Yuki Kawamura, Andrew Loza, @yoshuabengio.bsky.social, Dennis Shung, Alexander Tong
Paper: arxiv.org/abs/2410.21154
#machinelearning
"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
"Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification" Benedict Aaron Tjandra, Federico Barbero, @mmbronstein.bsky.social
#graphneuralnetworks
A mapping of how Bluesky is becoming the new Scientific Twitter
mikeyoungacademy.dk/bluesky-is-e...
This place is growing fast and with a lot of nice people!
#bluesky
The preprint is now on bioRxiv www.biorxiv.org/content/10.1... and the model on HuggingFace 🤗 huggingface.co/boltz-commun... !
I fell on the keyboard and bought a bunch of physics textbooks (and one intruder). 😅 With great suggestions from @sgiagu.bsky.social @wellingmax.bsky.social
"Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges" by @mmbronstein.bsky.social, Joan Bruna, Taco Cohen, @petar-v.bsky.social
#geometricdeeplearning
