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Deconvolutional Density Network: Modeling Free-Form Conditional
  Distributions
v1v2v3 (latest)

Deconvolutional Density Network: Modeling Free-Form Conditional Distributions

29 May 2021
Bing Chen
Mazharul Islam
Jisuo Gao
Lin Wang
    BDLCML
ArXiv (abs)PDFHTMLGithub (3★)

Papers citing "Deconvolutional Density Network: Modeling Free-Form Conditional Distributions"

3 / 3 papers shown
Title
Generative modeling of density regression through tree flows
Generative modeling of density regression through tree flows
Zhuoqun Wang
Naoki Awaya
Li Ma
DRL
59
0
0
07 Jun 2024
Deep Modeling of Non-Gaussian Aleatoric Uncertainty
Deep Modeling of Non-Gaussian Aleatoric Uncertainty
Aastha Acharya
Caleb Lee
Marissa DÁlonzo
Jared Shamwell
Nisar R. Ahmed
Rebecca L. Russell
BDL
101
0
0
30 May 2024
Conformalized Deep Splines for Optimal and Efficient Prediction Sets
Conformalized Deep Splines for Optimal and Efficient Prediction Sets
N. Diamant
Ehsan Hajiramezanali
Tommaso Biancalani
Gabriele Scalia
67
3
0
01 Nov 2023
1