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Deep Bayesian Active Learning for Accelerating Stochastic Simulation

Deep Bayesian Active Learning for Accelerating Stochastic Simulation

5 June 2021
D. Wu
Ruijia Niu
Matteo Chinazzi
Alessandro Vespignani
Yi-An Ma
Rose Yu
    AI4CE
ArXivPDFHTML

Papers citing "Deep Bayesian Active Learning for Accelerating Stochastic Simulation"

4 / 4 papers shown
Title
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
Bohan Lyu
Yadi Cao
Duncan Watson-Parris
Leon Bergen
Taylor Berg-Kirkpatrick
Rose Yu
58
3
0
01 Nov 2024
Active Learning for Neural PDE Solvers
Active Learning for Neural PDE Solvers
Daniel Musekamp
Marimuthu Kalimuthu
David Holzmüller
Makoto Takamoto
Carlos Fernandez
AI4CE
41
4
0
02 Aug 2024
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,884
0
13 Jun 2015
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
247
9,109
0
06 Jun 2015
1