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Copula Density Neural Estimation
v1v2 (latest)

Copula Density Neural Estimation

25 November 2022
N. A. Letizia
Andrea M. Tonello
ArXiv (abs)PDFHTML

Papers citing "Copula Density Neural Estimation"

13 / 13 papers shown
Title
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
Alberto Foresti
Giulio Franzese
Pietro Michiardi
123
0
0
26 Feb 2025
Marginal Causal Flows for Validation and Inference
Marginal Causal Flows for Validation and Inference
Daniel de Vassimon Manela
Laura Battaglia
Robin J. Evans
CML
62
2
0
02 Nov 2024
Masked Language Modeling Becomes Conditional Density Estimation for
  Tabular Data Synthesis
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
SeungHwan An
Gyeongdong Woo
Jaesung Lim
ChangHyun Kim
Sungchul Hong
Jong-June Jeon
104
1
0
31 May 2024
Information Theoretic Text-to-Image Alignment
Information Theoretic Text-to-Image Alignment
Chao Wang
Giulio Franzese
A. Finamore
Massimo Gallo
Pietro Michiardi
129
0
0
31 May 2024
$f$-Divergence Based Classification: Beyond the Use of Cross-Entropy
fff-Divergence Based Classification: Beyond the Use of Cross-Entropy
Nicola Novello
Andrea M. Tonello
68
8
0
02 Jan 2024
MINDE: Mutual Information Neural Diffusion Estimation
MINDE: Mutual Information Neural Diffusion Estimation
Giulio Franzese
Mustapha Bounoua
Pietro Michiardi
DiffM
59
8
0
13 Oct 2023
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
742
18,364
0
19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
535
10,591
0
17 Feb 2020
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
277
3,722
0
26 May 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSegGAN
486
2,579
0
25 Jan 2016
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
322
4,197
0
21 May 2015
Copula-based Kernel Dependency Measures
Copula-based Kernel Dependency Measures
Barnabás Póczós
Zoubin Ghahramani
J. Schneider
103
87
0
18 Jun 2012
Estimating divergence functionals and the likelihood ratio by convex
  risk minimization
Estimating divergence functionals and the likelihood ratio by convex risk minimization
X. Nguyen
Martin J. Wainwright
Michael I. Jordan
236
806
0
04 Sep 2008
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