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Neural Likelihoods via Cumulative Distribution Functions
v1v2 (latest)

Neural Likelihoods via Cumulative Distribution Functions

2 November 2018
Pawel M. Chilinski
Ricardo M. A. Silva
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Neural Likelihoods via Cumulative Distribution Functions"

11 / 11 papers shown
Title
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Davide Sartor
Alberto Sinigaglia
Gian Antonio Susto
204
0
0
05 May 2025
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
Xin Liu
Weijia Zhang
Min-Ling Zhang
188
3
0
19 Oct 2024
Cumulative Distribution Function based General Temporal Point Processes
Cumulative Distribution Function based General Temporal Point Processes
Maolin Wang
Yu Pan
Zenglin Xu
Ruocheng Guo
Xiangyu Zhao
Wanyu Wang
Yiqi Wang
Zitao Liu
Langming Liu
AI4TS
78
0
0
01 Feb 2024
Reinterpreting survival analysis in the universal approximator age
Reinterpreting survival analysis in the universal approximator age
Sören Dittmer
M. Roberts
J. Preller
AIX-COVNET Collaboration
James H. F. Rudd
J. Aston
Carola-Bibiane Schönlieb
50
0
0
25 Jul 2023
Learning Multivariate CDFs and Copulas using Tensor Factorization
Learning Multivariate CDFs and Copulas using Tensor Factorization
Magda Amiridi
N. Sidiropoulos
111
1
0
13 Oct 2022
Marginalizable Density Models
Marginalizable Density Models
D. Gilboa
Ari Pakman
Thibault Vatter
BDL
65
5
0
08 Jun 2021
Dynamic Hawkes Processes for Discovering Time-evolving Communities'
  States behind Diffusion Processes
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes
Maya Okawa
Tomoharu Iwata
Yusuke Tanaka
Hiroyuki Toda
Takeshi Kurashima
H. Kashima
AI4TS
69
12
0
24 May 2021
Survival Regression with Proper Scoring Rules and Monotonic Neural
  Networks
Survival Regression with Proper Scoring Rules and Monotonic Neural Networks
David Rindt
Robert Hu
D. Steinsaltz
Dino Sejdinovic
188
38
0
26 Mar 2021
Generative Archimedean Copulas
Generative Archimedean Copulas
Yuting Ng
Ali Hasan
Khalil Elkhalil
Vahid Tarokh
42
5
0
22 Feb 2021
Regularization Strategies for Quantile Regression
Regularization Strategies for Quantile Regression
Taman Narayan
S. Wang
K. Canini
Maya R. Gupta
38
0
0
09 Feb 2021
Fully Neural Network based Model for General Temporal Point Processes
Fully Neural Network based Model for General Temporal Point Processes
T. Omi
N. Ueda
Kazuyuki Aihara
BDLAI4TS
77
179
0
23 May 2019
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