WebSemantic Scholar profile for Gary Bécigneul, with 179 highly influential citations and 14 scientific research papers. Skip to search form Skip to main content Skip to account … WebGary Becigneul Aurelien Lucchi We propose a novel second-order ODE as the continuous-time limit of a Riemannian accelerated gradient-based method on a manifold with …
A Continuous-time Perspective for Modeling Acceleration in
WebJul 7, 2024 · Gregor Bachmann, Gary Bécigneul, and Octavian-Eugen Ganea. 2024. Constant Curvature Graph Convolutional Networks. In ICML. Google Scholar; Gary Becigneul and Octavian-Eugen Ganea. 2024. Riemannian Adaptive Optimization Methods. In ICLR. Google Scholar; Marcel Berger. 2012. A panoramic view of Riemannian … WebOctavian Ganea, Gary Bécigneul, and Thomas Hofmann. Hyperbolic neural networks. In Advances in neural information processing systems, pages 5345-5355, 2024. Google Scholar; Octavian-Eugen Ganea, Gary Becigneul, and Thomas Hofmann. Hyperbolic entailment cones for learning hierarchical embeddings. chp teaches drug awareness to kids
Hyperbolic graph convolutional neural networks Proceedings of …
WebMay 21, 2024 · TL;DR: For example, the authors embeds symbolic data into an n-dimensional Poincare ball to learn parsimonious representations of symbolic data by simultaneously capturing hierarchy and similarity, and then uses Riemannian optimization to learn the embeddings. Abstract: Representation learning has become an invaluable … WebMay 23, 2024 · Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann. Hyperbolic spaces have recently gained momentum in the context of machine learning due to their … Web14.Gary Becigneul, Yannic Kilcher, Thomas Hofmann.´ “Learning a Riemannian Metric with an Energy-based GAN.” Unpublished. [BKH18]. 15.Yannic Kilcher 1, Gary Becigneul´ 1, Thomas Hofmann. “Escaping Flat Areas via Function Preserving Structural Net-work Modifications.” OpenReview preprint openreview:H1eadi0cFQ, 2024. [KBH18]. chp team credit suisse