https://huggingface.co/blog/annotated-diffusion The Annotated Diffusion ModelPublished June 7th, 2022Niels RoggeKashif Rasul “In this blog post, we’ll take a deeper look into Denoising Diffusion Probabilistic Models… as researchers have been able to
What I Read: Beyond Message Passing, Graph Neural Networks
https://thegradient.pub/graph-neural-networks-beyond-message-passing-and-weisfeiler-lehman/ Beyond Message Passing: a Physics-Inspired Paradigm for Graph Neural NetworksMichael Bronstein07.May.2022 “…the “node and edge-centric” mindset of current graph deep learning schemes imposes strong limitations… we propose physics-inspired “continuous”
What I Read: Understanding, Simple AI
https://www.quantamagazine.org/researchers-glimpse-how-ai-gets-so-good-at-language-processing-20220414/ Researchers Gain New Understanding From Simple AIMordechai RorvigStaff WriterApril 14, 2022 “Language processing programs are notoriously hard to interpret, but smaller versions can provide important insights into how they
What I Read: forecasting, quantile functions
https://www.amazon.science/blog/improving-forecasting-by-learning-quantile-functions Improving forecasting by learning quantile functionsBy Youngsuk Park, François-Xavier AubetMarch 31, 2022 “Learning the complete quantile function, which maps probabilities to variable values, rather than building separate models for
What I Read: Generalization of SGD
https://www.quantamagazine.org/machine-learning-reimagines-the-building-blocks-of-computing-20220315/ Machine Learning Reimagines the Building Blocks of ComputingNick ThiemeContributing WriterMarch 15, 2022 “Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses
What I Read: Deep Learning From First Principles
https://horace.io/brrr_intro.html Making Deep Learning Go Brrrr From First PrinciplesHorace He “So, you want to improve the performance of your deep learning model. How might you approach such a task?”