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Design by adaptive sampling

Design by adaptive sampling

8 October 2018
David H. Brookes
Jennifer Listgarten
    TPM
ArXivPDFHTML

Papers citing "Design by adaptive sampling"

5 / 5 papers shown
Title
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading
Melanie Rieff
Fabian Holzberger
Oksana Lapina
Geir Ringstad
Lars Magnus Valnes
Bogna Warsza
Kent-Andre Mardal
Per Kristian Eide
Barbara Wohlmuth
26
3
0
06 Oct 2024
Variational Search Distributions
Variational Search Distributions
Daniel M. Steinberg
Rafael Oliveira
Cheng Soon Ong
Edwin V. Bonilla
27
0
0
10 Sep 2024
Unifying Likelihood-free Inference with Black-box Optimization and
  Beyond
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
Dinghuai Zhang
Jie Fu
Yoshua Bengio
Aaron Courville
24
13
0
06 Oct 2021
Deep Learning in Protein Structural Modeling and Design
Deep Learning in Protein Structural Modeling and Design
Wenhao Gao
S. Mahajan
Jeremias Sulam
Jeffrey J. Gray
16
159
0
16 Jul 2020
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
245
9,042
0
06 Jun 2015
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