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2-Cats: 2D Copula Approximating Transforms
v1v2v3v4v5 (latest)

2-Cats: 2D Copula Approximating Transforms

28 September 2023
Shiyi Tang
Yini Fang
Jackson Silva
Renato M. Assunção
ArXiv (abs)PDFHTML

Papers citing "2-Cats: 2D Copula Approximating Transforms"

13 / 13 papers shown
Title
Fixed Integral Neural Networks
Fixed Integral Neural Networks
Ryan Kortvelesy
FedML
9
3
0
26 Jul 2023
Squared Neural Families: A New Class of Tractable Density Models
Squared Neural Families: A New Class of Tractable Density Models
Russell Tsuchida
Cheng Soon Ong
Dino Sejdinovic
TPM
55
12
0
22 May 2023
Retrospective Uncertainties for Deep Models using Vine Copulas
Retrospective Uncertainties for Deep Models using Vine Copulas
Natavsa Tagasovska
Firat Ozdemir
Axel Brando
UQCVOODBDL
70
2
0
24 Feb 2023
Achieve the Minimum Width of Neural Networks for Universal Approximation
Achieve the Minimum Width of Neural Networks for Universal Approximation
Yongqiang Cai
35
18
0
23 Sep 2022
Generative Archimedean Copulas
Generative Archimedean Copulas
Yuting Ng
Ali Hasan
Khalil Elkhalil
Vahid Tarokh
18
5
0
22 Feb 2021
Physics-informed neural networks with hard constraints for inverse
  design
Physics-informed neural networks with hard constraints for inverse design
Lu Lu
R. Pestourie
Wenjie Yao
Zhicheng Wang
F. Verdugo
Steven G. Johnson
PINN
97
517
0
09 Feb 2021
Deep Archimedean Copulas
Deep Archimedean Copulas
Chun Kai Ling
Fei Fang
J. Zico Kolter
TPM
42
22
0
05 Dec 2020
Nonparametric estimation of copulas and copula densities by orthogonal
  projections
Nonparametric estimation of copulas and copula densities by orthogonal projections
Y. I. N. Bakam
Denys Pommeret
20
6
0
29 Oct 2020
Non-parametric Models for Non-negative Functions
Non-parametric Models for Non-negative Functions
Ulysse Marteau-Ferey
Francis R. Bach
Alessandro Rudi
49
52
0
08 Jul 2020
Approximation by finite mixtures of continuous density functions that
  vanish at infinity
Approximation by finite mixtures of continuous density functions that vanish at infinity
TrungTin Nguyen
Hien Nguyen
Faicel Chamroukhi
Geoffrey J. McLachlan
33
74
0
01 Mar 2019
The Expressive Power of Neural Networks: A View from the Width
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu
Hongming Pu
Feicheng Wang
Zhiqiang Hu
Liwei Wang
99
894
0
08 Sep 2017
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
460
2,516
0
08 Jun 2017
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
210
1,354
0
19 May 2017
1