Efficient Representation of Low-Dimensional Manifolds using Deep Networks

15 February 2016

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

25 / 25 papers shown

Title
Topological Expressivity of ReLU Neural Networks Ekin Ergen Moritz Grillo 64 3 0 17 Oct 2023
The Geometric Structure of Fully-Connected ReLU Layers Jonatan Vallin K. Larsson M. Larson 32 2 0 05 Oct 2023
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 29 0 0 29 Dec 2022
DeepProphet2 -- A Deep Learning Gene Recommendation Engine Daniel Brambilla Davide Giacomini Luca Muscarnera Andrea Mazzoleni 21 1 0 03 Aug 2022
Topology and geometry of data manifold in deep learning German Magai A. Ayzenberg AAML 21 11 0 19 Apr 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 23 3 0 09 Mar 2022
MD-GAN with multi-particle input: the machine learning of long-time molecular behavior from short-time MD data Ryo Kawada Katsuhiro Endo Daisuke Yuhara K. Yasuoka AI4CE 17 2 0 02 Feb 2022
Deep Networks Provably Classify Data on Curves Tingran Wang Sam Buchanan D. Gilboa John N. Wright 23 9 0 29 Jul 2021
PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information Linchao He Mengting Luo Dejun Zhang Xiao Yang Hu Chen Yi Zhang 3DPC 18 0 0 31 Mar 2021
A Neural Scaling Law from the Dimension of the Data Manifold Utkarsh Sharma Jared Kaplan 18 52 0 22 Apr 2020
Deep ReLU network approximation of functions on a manifold Johannes Schmidt-Hieber 17 92 0 02 Aug 2019
Gradient Dynamics of Shallow Univariate ReLU Networks Francis Williams Matthew Trager Claudio Silva Daniele Panozzo Denis Zorin Joan Bruna 19 79 0 18 Jun 2019
Neural Networks on Groups Stella Biderman 33 1 0 13 Jun 2019
Intrinsic dimension of data representations in deep neural networks A. Ansuini Alessandro Laio Jakob H. Macke D. Zoccolan AI4CE 13 267 0 29 May 2019
Geometry of Deep Convolutional Networks S. Carlsson MDE 3DPC 11 6 0 21 May 2019
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 22 190 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 29 42 0 05 Sep 2018
Approximate Newton-based statistical inference using only stochastic gradients Tianyang Li Anastasios Kyrillidis L. Liu C. Caramanis 11 6 0 23 May 2018
Some Approximation Bounds for Deep Networks B. McCane Lech Szymanski 18 1 0 08 Mar 2018
Curvature-based Comparison of Two Neural Networks Tao Yu Huan Long J. Hopcroft 3DPC 13 13 0 21 Jan 2018
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling Gautam Pai Ronen Talmon A. Bronstein Ron Kimmel 26 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