Efficient Representation of Low-Dimensional Manifolds using Deep Networks

15 February 2016

Papers citing "Efficient Representation of Low-Dimensional Manifolds using Deep Networks"

10 / 10 papers shown

Title
Deep neural networks architectures from the perspective of manifold learning German Magai AAML AI4CE 30 6 0 06 Jun 2023
Data Representations' Study of Latent Image Manifolds Ilya Kaufman Omri Azencot 14 7 0 31 May 2023
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari Omer Gottesman George Konidaris 26 0 0 29 Dec 2022
Topology and geometry of data manifold in deep learning German Magai A. Ayzenberg AAML 21 11 0 19 Apr 2022
Deep Networks Provably Classify Data on Curves Tingran Wang Sam Buchanan D. Gilboa John N. Wright 23 9 0 29 Jul 2021
Can I trust you more? Model-Agnostic Hierarchical Explanations Michael Tsang Youbang Sun Dongxu Ren Yan Liu FAtt 16 25 0 12 Dec 2018
Deep Geometric Prior for Surface Reconstruction Francis Williams T. Schneider Claudio Silva Denis Zorin Joan Bruna Daniele Panozzo 3DPC 19 190 0 27 Nov 2018
Geometry of Deep Learning for Magnetic Resonance Fingerprinting Mohammad Golbabaee Dongdong Chen Pedro A. Gómez Marion I. Menzel Mike E. Davies 27 42 0 05 Sep 2018
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling Gautam Pai Ronen Talmon A. Bronstein Ron Kimmel 19 41 0 16 Nov 2017
Deep Radial Kernel Networks: Approximating Radially Symmetric Functions with Deep Networks B. McCane Lech Szymanski 41 6 0 09 Mar 2017