Zobrazeno 1 - 2
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pro vyhledávání: '"Turok, Ethan"'
Publikováno v:
International Conference on Learning Representations (2024)
Hyperbolic geometry is gaining traction in machine learning for its effectiveness at capturing hierarchical structures in real-world data. Hyperbolic spaces, where neighborhoods grow exponentially, offer substantial advantages and consistently delive
Externí odkaz:
http://arxiv.org/abs/2310.13841
Generalizing work of K\"unnemann, Paturi, and Schneider [ICALP 2017], we study a wide class of high-dimensional dynamic programming (DP) problems in which one must find the shortest path between two points in a high-dimensional grid given a tensor of
Externí odkaz:
http://arxiv.org/abs/2309.04683