ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.05207
  4. Cited By
Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction

Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction

9 December 2020
Tijs Maas
Peter Bloem
    AI4TS
ArXivPDFHTML

Papers citing "Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction"

13 / 13 papers shown
Title
Deep Learning on Traffic Prediction: Methods, Analysis and Future
  Directions
Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions
Xueyan Yin
Genze Wu
Jinze Wei
Yanming Shen
Heng Qi
Baocai Yin
AI4TS
60
45
0
18 Apr 2020
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout
  Variational Inference
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
M. Laves
Sontje Ihler
Karl-Philipp Kortmann
T. Ortmaier
UQCV
46
57
0
30 Sep 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
AI4TS
84
2,164
0
31 May 2019
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Dan Levi
Liran Gispan
Niv Giladi
Ethan Fetaya
UQCV
82
144
0
28 May 2019
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Volodymyr Kuleshov
Nathan Fenner
Stefano Ermon
BDL
UQCV
193
633
0
01 Jul 2018
Autoregressive Quantile Networks for Generative Modeling
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski
Will Dabney
Rémi Munos
DRL
102
87
0
14 Jun 2018
Distributional Reinforcement Learning with Quantile Regression
Distributional Reinforcement Learning with Quantile Regression
Will Dabney
Mark Rowland
Marc G. Bellemare
Rémi Munos
92
759
0
27 Oct 2017
Deep and Confident Prediction for Time Series at Uber
Deep and Confident Prediction for Time Series at Uber
Lingxue Zhu
N. Laptev
BDL
AI4TS
151
345
0
06 Sep 2017
Language Modeling with Gated Convolutional Networks
Language Modeling with Gated Convolutional Networks
Yann N. Dauphin
Angela Fan
Michael Auli
David Grangier
237
2,400
0
23 Dec 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
7,399
0
12 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
623
29,051
0
09 Sep 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
204
2,511
0
16 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
821
9,318
0
06 Jun 2015
1