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francisbach.com
| | thenumb.at
2.9 parsecs away

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| | [AI summary] The text discusses the representation of functions as vectors and their applications in various domains such as signal processing, geometry, and physics. It explains how functions can be treated as vectors in a vector space, leading to the concept of eigenfunctions and eigenvalues, which are crucial for understanding and manipulating signals and geometries. The text also covers different types of Laplacians, including the standard Laplacian, higher-dimensional Laplacians, and the Laplace-Beltrami operator, and their applications in fields like image compression, computer graphics, and quantum mechanics. The discussion includes spherical harmonics, which are used in representing functions on spheres, and their applications in game engines and glo...
| | theorydish.blog
4.8 parsecs away

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| | In this blog post, we will talk about some recent advances in algorithms for approximately solving Shapley Games. What is a Shapley Game? At an intuitive level, Shapley games capture the idea of extending one-shot 2-player games to be occurring over multiple stages. Explicitly, Shapley games are played on an underlying state space $latex V$....
| | fa.bianp.net
2.2 parsecs away

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| | There's a fascinating link between minimization of quadratic functions and polynomials. A link that goes deep and allows to phrase optimization problems in the language of polynomials and vice versa. Using this connection, we can tap into centuries of research in the theory of polynomials and shed new light on ...
| | sebastianraschka.com
21.9 parsecs away

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| I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).