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2008.10546
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SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
24 August 2020
Lingkai Kong
Jimeng Sun
Chao Zhang
UQCV
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Papers citing
"SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates"
12 / 12 papers shown
Title
Universal Approximation Theorem of Deep Q-Networks
Qian Qi
20
1
0
04 May 2025
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
Xiaowei Mao
Yan Lin
S. Guo
Yubin Chen
Xingyu Xian
Haomin Wen
Qisen Xu
Youfang Lin
Huaiyu Wan
33
1
0
23 Aug 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
YongKyung Oh
Dongyoung Lim
Sungil Kim
AI4TS
18
11
0
22 Feb 2024
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning
Andrea Rossi
Andrea Visentin
Diego Carraro
Steven D. Prestwich
Kenneth N. Brown
14
0
0
24 Feb 2023
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Bohan Tang
Yiqi Zhong
Chenxin Xu
Wei Wu
Ulrich Neumann
Yanfeng Wang
Ya-Qin Zhang
Siheng Chen
28
9
0
11 Jul 2022
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations
Jongwan Kim
Dongjin Lee
Byunggook Na
Seongsik Park
Jeonghee Jo
Sung-Hoon Yoon
19
0
0
15 Jun 2022
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Shiye Lei
Zhuozhuo Tu
Leszek Rutkowski
Feng Zhou
Li Shen
Fengxiang He
Dacheng Tao
BDL
8
2
0
12 Dec 2021
Climate Modeling with Neural Diffusion Equations
JeeHyun Hwang
Jeongwhan Choi
Hwan-Kyu Choi
Kookjin Lee
Dongeun Lee
Noseong Park
DiffM
11
22
0
11 Nov 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Wanhua Li
Xiaoke Huang
Jiwen Lu
Jianjiang Feng
Jie Zhou
UQCV
20
61
0
25 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
741
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
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