https://rockt.github.io/2018/04/30/einsum Einsum is All you Need – Einstein Summation in Deep LearningTim Rocktäschel30/04/2018 – updated 02/05/2018 “If you are anything like me, you find it difficult to remember the names
What I Read: Neural-Control Family
https://www.gshi.me/blog/NeuralControl/ Neural-Control Family: What Deep Learning + Control Enables in the Real WorldGuanya Shi “…is machine learning (especially deep learning) really ready to be deployed in safety-critical systems?”
What I Read: Graph Neural Networks, Differential Geometry, Algebraic Topology
https://towardsdatascience.com/graph-neural-networks-through-the-lens-of-differential-geometry-and-algebraic-topology-3a7c3c22d5f Graph Neural Networks through the lens of Differential Geometry and Algebraic TopologyMichael Bronstein “Differential geometry and algebraic topology are not encountered very frequently in mainstream machine learning… tools from
What I Read: Brains Predict Their Perceptions
https://www.quantamagazine.org/to-be-energy-efficient-brains-predict-their-perceptions-20211115/ To Be Energy-Efficient, Brains Predict Their PerceptionsAnil AnanthaswamyNovember 15, 2021 “Results from neural networks support the idea that brains are “prediction machines” — and that they work that way
What I Read: Deep Learning Optimization Theory
https://towardsdatascience.com/deep-learning-optimization-theory-introduction-148b3504b20f?gi=ff0bd10cc9fe Deep Learning Optimization Theory — IntroductionUnderstanding the theory of optimization in deep learning is crucial to enable progress. This post introduces the experimental and theoretical approaches to studying it.Omri
What I Read: Her Machine Learning Tools Pull Insights From Cell Images
https://www.quantamagazine.org/anne-carpenters-ai-tools-pull-insights-from-cell-images-20211102/ Her Machine Learning Tools Pull Insights From Cell ImagesEsther LandhuisContributing WriterNovember 2, 2021The computational biologist Anne Carpenter creates software that brings the power of machine learning to researchers seeking
What I Read: First-Principles Theory of Neural Network Generalization
https://natluk.net/a-first-principles-theory-of-neuralnetwork-generalization-the-berkeley-artificial-intelligence-research-blog/ A First-Principles Theory of Neural Network Generalization – The Berkeley Artificial Intelligence Research BlogNatLuk Community25 October 2021 “Perhaps the greatest of these mysteries has been the question of generalization: