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Heteroscedastic Uncertainty for Robust Generative Latent Dynamics

Heteroscedastic Uncertainty for Robust Generative Latent Dynamics

18 August 2020
Oliver Limoyo
Bryan Chan
Filip Marić
Brandon Wagstaff
Rupam Mahmood
Jonathan Kelly
ArXivPDFHTML

Papers citing "Heteroscedastic Uncertainty for Robust Generative Latent Dynamics"

4 / 4 papers shown
Title
Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor
Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor
Trevor Ablett
Oliver Limoyo
Adam Sigal
Affan Jilani
Jonathan Kelly
Kaleem Siddiqi
F. Hogan
Gregory Dudek
70
4
0
28 Jan 2025
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
26
2
0
22 Mar 2022
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
5,695
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
287
9,167
0
06 Jun 2015
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