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A Bayesian generative neural network framework for epidemic inference
  problems

A Bayesian generative neural network framework for epidemic inference problems

5 November 2021
I. Biazzo
Alfredo Braunstein
Luca DallÁsta
Fabio Mazza
ArXivPDFHTML

Papers citing "A Bayesian generative neural network framework for epidemic inference problems"

4 / 4 papers shown
Title
Learning of networked spreading models from noisy and incomplete data
Learning of networked spreading models from noisy and incomplete data
Mateusz Wiliński
A. Lokhov
15
1
0
20 Dec 2023
The autoregressive neural network architecture of the Boltzmann
  distribution of pairwise interacting spins systems
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems
I. Biazzo
AI4CE
6
7
0
16 Feb 2023
Inference in conditioned dynamics through causality restoration
Inference in conditioned dynamics through causality restoration
Alfredo Braunstein
Giovanni Catania
Luca DallÁsta
M. Mariani
Anna Paola Muntoni
11
4
0
18 Oct 2022
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,543
0
25 Jan 2016
1