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Jamie Simon — ML researcher and writer. Personal site with blog posts on machine learning theory, math, physics, and science.
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Explainability as a form of system closure
There's a question that's ringing out all over the machine learning world these days: what the hell counts as an "explanation" of a complex system? If you listen for a while to conversations in the labs of practitioners, the forums of mechanistic interpre
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Higher derivatives of an inverse function
I learned something beautiful today and just wanted to share it. Obviously, this blog is super eclectic, with tons of posts on science and math and art and life, with no particular order. Maybe someday I'll organize it. This a pretty basic calculus trick.
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Simulating cells fighting to the death
Physics is humanity's finest tool for understanding the world around us, a rich and wonderful framework deserving of our highest reverence.I recently used it...
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On the scientific method and its application to the science of deep learning
This essay is now cross-posted on learningmechanics.pub.I have recently found myself involved in many discussions centered on the question of how we might de...
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The polynomial features of random neural networks
The language of polynomials is beautiful and well-developed: millenia of work have furnished a rich, deep theory that spans analysis and algebra, with basics we teach to children and high reaches still under development. The language of neural network fea
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