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VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting

VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting

7 May 2024
Alireza Koochali
Ensiye Tahaei
Andreas Dengel
Sheraz Ahmed
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting"

25 / 25 papers shown
Title
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term
  Series Forecasting
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou
Ziqing Ma
Qingsong Wen
Xue Wang
Liang Sun
Rong Jin
AI4TS
254
1,438
0
30 Jan 2022
Probabilistic Time Series Forecasting with Implicit Quantile Networks
Probabilistic Time Series Forecasting with Implicit Quantile Networks
Adele Gouttes
Kashif Rasul
Mateusz Koren
Johannes Stephan
T. Naghibi
BDLAI4TS
43
24
0
08 Jul 2021
Autoformer: Decomposition Transformers with Auto-Correlation for
  Long-Term Series Forecasting
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
AI4TS
113
2,296
0
24 Jun 2021
Monash Time Series Forecasting Archive
Monash Time Series Forecasting Archive
Rakshitha Godahewa
Christoph Bergmeir
Geoffrey I. Webb
Rob J. Hyndman
Pablo Montero-Manso
AI4TS
70
162
0
14 May 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic
  Time Series Forecasting
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Kashif Rasul
Calvin Seward
Ingmar Schuster
Roland Vollgraf
DiffM
108
320
0
28 Jan 2021
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast
  With GAN
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN
Alireza Koochali
Andreas Dengel
Sheraz Ahmed
AI4TS
74
31
0
03 May 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned
  Normalizing Flows
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Kashif Rasul
Abdul-Saboor Sheikh
Ingmar Schuster
Urs M. Bergmann
Roland Vollgraf
BDLAI4TSAI4CE
111
187
0
14 Feb 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan O. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
132
1,476
0
19 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
547
42,639
0
03 Dec 2019
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula
  Processes
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes
David Salinas
Michael Bohlke-Schneider
Laurent Callot
Roberto Medico
Jan Gasthaus
AI4TS
71
229
0
07 Oct 2019
Probabilistic Forecasting with Temporal Convolutional Neural Network
Probabilistic Forecasting with Temporal Convolutional Neural Network
Yitian Chen
Yanfei Kang
Yixiong Chen
Zizhuo Wang
BDLAI4TS
85
329
0
11 Jun 2019
Deep Factors for Forecasting
Deep Factors for Forecasting
Bernie Wang
Alex Smola
Danielle C. Maddix
Jan Gasthaus
Dean Phillips Foster
Tim Januschowski
BDL
83
174
0
28 May 2019
ML for Flood Forecasting at Scale
ML for Flood Forecasting at Scale
Sella Nevo
V. Anisimov
G. Elidan
Ran El-Yaniv
P. Giencke
...
Guy Shalev
Ajai Tirumali
A. Wiesel
Oleg Zlydenko
Yossi Matias
AI4CE
23
25
0
28 Jan 2019
Machine Learning on Electronic Health Records: Models and Features
  Usages to predict Medication Non-Adherence
Machine Learning on Electronic Health Records: Models and Features Usages to predict Medication Non-Adherence
Thomas Janssoone
Clémence Bic
D. Kanoun
P. Hornus
P. Rinder
56
4
0
29 Nov 2018
CRED: A Deep Residual Network of Convolutional and Recurrent Units for
  Earthquake Signal Detection
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
Mostafa Mousavi
Weiqiang Zhu
Y. Sheng
G. Beroza
39
269
0
03 Oct 2018
Deep learning for time series classification: a review
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TSAI4CE
344
2,703
0
12 Sep 2018
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather
  Forecast
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast
Eduardo Rodrigues
Igor Oliveira
R. L. F. Cunha
M. Netto
51
96
0
15 Aug 2018
Implicit Quantile Networks for Distributional Reinforcement Learning
Implicit Quantile Networks for Distributional Reinforcement Learning
Will Dabney
Georg Ostrovski
David Silver
Rémi Munos
OffRL
139
532
0
14 Jun 2018
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
David Salinas
Valentin Flunkert
Jan Gasthaus
AI4TSUQCVBDL
89
2,134
0
13 Apr 2017
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
280
625
0
22 Sep 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
406
7,421
0
12 Sep 2016
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
322
4,197
0
21 May 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
448
20,606
0
10 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,396
0
03 Jun 2014
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
169
4,039
0
04 Aug 2013
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