ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.11912
  4. Cited By
Max-Affine Spline Insights into Deep Generative Networks

Max-Affine Spline Insights into Deep Generative Networks

26 February 2020
Randall Balestriero
Sébastien Paris
Richard Baraniuk
    DRL
    AI4CE
ArXivPDFHTML

Papers citing "Max-Affine Spline Insights into Deep Generative Networks"

5 / 5 papers shown
Title
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric
  Approach
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach
Chunwei Ma
Ziyun Huang
Mingchen Gao
Jinhui Xu
18
4
0
05 Feb 2022
Rayleigh EigenDirections (REDs): GAN latent space traversals for
  multidimensional features
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features
Guha Balakrishnan
Raghudeep Gadde
Aleix M. Martinez
Pietro Perona
25
3
0
25 Jan 2022
Fast Jacobian-Vector Product for Deep Networks
Fast Jacobian-Vector Product for Deep Networks
Randall Balestriero
Richard Baraniuk
23
4
0
01 Apr 2021
Globally Injective ReLU Networks
Globally Injective ReLU Networks
Michael Puthawala
K. Kothari
Matti Lassas
Ivan Dokmanić
Maarten V. de Hoop
11
26
0
15 Jun 2020
Mad Max: Affine Spline Insights into Deep Learning
Mad Max: Affine Spline Insights into Deep Learning
Randall Balestriero
Richard Baraniuk
AI4CE
23
78
0
17 May 2018
1