all AI news
Shadow Cones: A Generalized Framework for Partial Order Embeddings
April 8, 2024, 4:43 a.m. | Tao Yu, Toni J. B. Liu, Albert Tseng, Christopher De Sa
cs.LG updates on arXiv.org arxiv.org
Abstract: Hyperbolic space has proven to be well-suited for capturing hierarchical relations in data, such as trees and directed acyclic graphs. Prior work introduced the concept of entailment cones, which uses partial orders defined by nested cones in the Poincar\'e ball to model hierarchies. Here, we introduce the ``shadow cones" framework, a physics-inspired entailment cone construction. Specifically, we model partial orders as subset relations between shadows formed by a light source and opaque objects in hyperbolic …
abstract arxiv concept cs.lg data embeddings framework generalized graphs hierarchical orders prior relations shadow space trees type work
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Software Engineer, Data Tools - Full Stack
@ DoorDash | Pune, India
Senior Data Analyst
@ Artsy | New York City