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. 2309.13207
  4. Cited By
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation
  for Earth System Science Applications

Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications

22 September 2023
John S. Schreck
D. Gagne
Charlie Becker
William E. Chapman
K. Elmore
Da Fan
Gabrielle Gantos
Eliot Kim
Dhamma Kimpara
T. Martin
M. Molina
Vanessa M. Pryzbylo
Jacob T. Radford
B. Saavedra
Justin Willson
Christopher D. Wirz
    BDL
    UD
    OOD
    UQCV
    EDL
ArXivPDFHTML

Papers citing "Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications"

6 / 6 papers shown
Title
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm
  Events
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events
Ayush Khot
Xihaier Luo
Ai Kagawa
Shinjae Yoo
EDL
BDL
81
0
0
18 Dec 2024
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
Hannah Helgesen
Michael Felsberg
Jan-AAke Larsson
32
0
0
16 Oct 2023
The Unreasonable Effectiveness of Deep Evidential Regression
The Unreasonable Effectiveness of Deep Evidential Regression
N. Meinert
J. Gawlikowski
Alexander Lavin
UQCV
EDL
177
35
0
20 May 2022
Prior and Posterior Networks: A Survey on Evidential Deep Learning
  Methods For Uncertainty Estimation
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis Ulmer
Christian Hardmeier
J. Frellsen
BDL
UQCV
UD
EDL
PER
48
48
0
06 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 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
285
9,145
0
06 Jun 2015
1