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My course lecture on building Transformers from first principles: dropbox.com/scl/fi/jhfgy8d… The PyTorch notebooks also demonstrate how to implement Transformers from scratch: github.com/xbresson/CS524…

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Boosting Q&A Accuracy with GraphRAG powered by our G-Retriever architecture. Xiaoxin He developer.nvidia.com/blog/boosting-…

🚨 We’re recruiting organizers for LoG 2025! Join us in shaping the next Learning on Graphs conference at UCLA this fall. Passionate about graph ML & building community? Apply by Apr 11 (AOE) 🌍 📋 Form: docs.google.com/forms/d/e/1FAI… 🏠LoG website: logconference.org

My course lecture on Diffusion Models from statistical first principles: dropbox.com/scl/fi/gmwhx7j… The PyTorch notebooks that implement Diffusion Models from scratch w/ Transformer and UNet: github.com/xbresson/CS524…

Wrap-up of my 2025 Deep Learning class! Huge thanks to my amazing students for the thoughtful questions, and to my dedicated TAs for all their hard work throughout the semester!

Cherry on top: kind feedback that made my day 🙏

Chat w/ Léon Bottou, legendary researcher behind CNNs w/ Yann LeCun and pioneer of large-scale SGD when it was controversial He also worked on learning-inspired compression w/ Yann, DjVu I asked 2nd order SGD - he tried it again but still found it unstable Inspiring conversation!

Enjoying a few cocktails at the Multiscale ML party in great company with collaborators Kostya Novoselov and Nikita Kazeev -- at one of Singapore’s most iconic bars !

Tasting Peranakan cuisine w/ Yann LeCun Pascale Fung while discussing next generation of world models w/ Yann’s JEPA beyond LLMs/diffusion models, the critical role of open-source, and the fascinating origin of ICLR which has become 10th most cited venue in all science in just 12yr!

Inspiring talk by Michael Bronstein on Biology 2.0 and Black-Box Data

Everything you always wanted to know about Density Functional Theory (DFT) ... but were afraid to ask ! Feel free to check out my slides -- hope you find them useful! 😊 dropbox.com/scl/fi/wmluv9r…

Our icml paper was borderline, we expected a rejection as no reviewers acknowledged our rebuttal and w/ past experience, AC would follow negative reviews. But AC read the paper, reviewer comments and assess our rebuttal. Grateful to AC for rewarding the hard work of my student!

I spent so much time at IPAM and learned a lot from great minds during my postdoc years -- It's always a special feeling to be back !

Symmetry groups in materials 😀

Someone is selling my deep learning course -- without my consent ! I don’t know who you are.. but what I do have are a very particular set of skills.. I will look for you, I will find you and.. I will ask for 50% of the revenue! 😄

Praise the gods of Open Science! Another of my papers -never accepted by a prestigious conf- has reached 1K citations We are fortunate to have arXiv and GitHub No need for 3 reviewers to decide the fate of your work - just share it openly and let the community decide its value

I recently did an interview on AI, focusing on big-picture ideas for a non-expert audience. dropbox.com/scl/fi/gebngbd…