https://towardsdatascience.com/gaussian-process-first-step-towards-active-learning-in-physics-239a8b260579?gi=41cc7e15ddd0 Gaussian Process: First Step Towards Active Learning in PhysicsMaxim ZiatdinovNov 1 “An approach to address these problems is a Gaussian Process…. we would like to offer a slightly unusual
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