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Bruno Neri

@neribr.bsky.social
507 followers 1.6K following 20 posts

Technical Leader - Artificial Intelligence and Machine Learning Enthusiast - Senior Software Engineer www.linkedin.com/in/brunoneri

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Bruno Neri @neribr.bsky.social · 05/04/2025
"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
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Bruno Neri @neribr.bsky.social · 28/03/2025
"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
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Bruno Neri @neribr.bsky.social · 03/03/2025
#diffusionmodels
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Bruno Neri @neribr.bsky.social · 21/01/2025
There is a more clean and fresh air with the blue sky! 😉
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Bruno Neri @neribr.bsky.social · 15/01/2025
"The Jungle of Generative Drug Discovery: Traps, Treasures, and Ways Out" by Rıza Özçelik, @fragrisoni.bsky.social Paper: arxiv.org/abs/2501.05457 #machinelearning
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Bruno Neri @neribr.bsky.social · 15/01/2025
"Tutorial on Diffusion Models for Imaging and Vision" by Stanley Chan Paper: arxiv.org/abs/2403.18103 #machinelearning #diffusionmodels
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Bruno Neri @neribr.bsky.social · 15/01/2025
"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
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Bruno Neri @neribr.bsky.social · 15/01/2025
A nice tutorial that explores the basics of the JAX ecosystem from the lens of a PyTorch user. #machinelearning #pytorch #jax
cloud.google.com
A guide to JAX for PyTorch developers | Google Cloud Blog
PyTorch users can learn about JAX in this tutorial that connects JAX concepts to the PyTorch building blocks that they’re already familiar with.
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Bruno Neri @neribr.bsky.social · 15/01/2025
"... 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
simonsfoundation.org
Watch: Jim Simons’ Life, Legacy and 5 Guiding Principles
A short film chronicles Simons Foundation co-founder Jim Simons’ careers as a mathematician, the founder of Renaissance Technologies and a philanthropist.
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Bruno Neri @neribr.bsky.social · 15/01/2025
"... 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
simonsfoundation.org
Watch: Jim Simons’ Life, Legacy and 5 Guiding Principles
A short film chronicles Simons Foundation co-founder Jim Simons’ careers as a mathematician, the founder of Renaissance Technologies and a philanthropist.
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Bruno Neri @neribr.bsky.social · 10/12/2024
"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
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Simone Scardapane @sscardapane.bsky.social · 29/11/2024
*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...
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Bruno Neri @neribr.bsky.social · 28/11/2024
“Gratitude is a noble virtue. Live with gratitude and your heart will expand.” - Stephen R. Covey Happy Thanksgiving to everyone who celebrates! #happythanksgiving
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Bruno Neri @neribr.bsky.social · 27/11/2024
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...
blog.neurips.cc
Announcing the NeurIPS 2024 Test of Time Paper Awards  – NeurIPS Blog
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logconference.bsky.social @logconference.bsky.social · 24/11/2024
✨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...
Screen capture of LoG website. The conference is Nov 26-29, 2024. See our website for more details: https://logconference.org/.
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Bruno Neri @neribr.bsky.social · 25/11/2024
Graph Neural Networks Do Not Always Oversmooth" by Bastian Epping, Alexandre René, Moritz Helias, and Michael Schaub Paper: arxiv.org/abs/2406.02269 #graphneuralnetworks
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Nicolas Keriven @nicolaskeriven.bsky.social · 22/11/2024
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
arxiv.org
Gradient scarcity with Bilevel Optimization for Graph Learning
A common issue in graph learning under the semi-supervised setting is referred to as gradient scarcity. That is, learning graphs by minimizing a loss on a subset of nodes causes edges between unlabel...
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Bruno Neri @neribr.bsky.social · 22/11/2024
"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
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Bruno Neri @neribr.bsky.social · 22/11/2024
"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
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Bruno Neri @neribr.bsky.social · 21/11/2024
"Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification" Benedict Aaron Tjandra, Federico Barbero, @mmbronstein.bsky.social #graphneuralnetworks
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Michael Bang Petersen @m-b-petersen.bsky.social · 20/11/2024
A mapping of how Bluesky is becoming the new Scientific Twitter mikeyoungacademy.dk/bluesky-is-e...
mikeyoungacademy.dk
Bluesky is emerging as the new platform for science - Mike Young Academy
Scientific Twitter is about to find its true successor. And it is not X. This, our latest release, shows that the Bluesky network of scientists is growing — and growing.
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Bruno Neri @neribr.bsky.social · 21/11/2024
This place is growing fast and with a lot of nice people! #bluesky
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Gabriele Corso @gcorso.bsky.social · 20/11/2024
The preprint is now on bioRxiv www.biorxiv.org/content/10.1... and the model on HuggingFace 🤗 huggingface.co/boltz-commun... !
biorxiv.org
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Simone Scardapane @sscardapane.bsky.social · 20/11/2024
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
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Bruno Neri @neribr.bsky.social · 20/11/2024
"Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges" by @mmbronstein.bsky.social, Joan Bruna, Taco Cohen, @petar-v.bsky.social #geometricdeeplearning
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