Search Results - "Importance sampling algorithm"

An adaptive importance sampling algorithm for risk-averse optimization

Authors: Pieraccini, Sandra Vanzan, Tommaso

Subject Terms: Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Mathematics - Optimization and Control

Access URL: http://arxiv.org/abs/2502.10084

Mean field initialization of the annealed importance sampling algorithm for an efficient evaluation of the partition function using restricted Boltzmann machines

Authors: Universitat Politècnica de Catalunya. Doctorat en Física Computacional i Aplicada Universitat Politècnica de Catalunya. Departament de Ciències de la Computació Universitat Politècnica de Catalunya. Departament de Física et al.

Index Terms: Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Àrees temàtiques de la UPC::Informàtica, Magnetic systems, Partition function, Annealed importance sampling, Restricted Boltzmann machines, Article

URL: http://hdl.handle.net/2117/424612
https://www.mdpi.com/1099-4300/27/2/171
https://www.mdpi.com/1099-4300/27/2/171

Mean Field Initialization of the Annealed Importance Sampling Algorithm for an Efficient Evaluation of the Partition Function Using Restricted Boltzmann Machines

Authors: Prat Pou, Arnau Romero Merino, Enrique Martí Rabassa, Jordi et al.

Contributors: Prat Pou, Arnau Romero Merino, Enrique Martí Rabassa, Jordi et al.

Source: Entropy (Basel)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Entropy, Vol 27, Iss 2, p 171 (2025)

Subject Terms: FOS: Computer and information sciences, partition function, Science, Physics, QC1-999, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Computer Science - Neural and Evolutionary Computing, FOS: Physical sciences, Annealed importance sampling, annealed importance sampling, Computational Physics (physics.comp-ph), Astrophysics, Article, Partition function, QB460-466, Restricted Boltzmann machines, magnetic systems, Magnetic systems, Restricted Boltzmann Machines, Neural and Evolutionary Computing (cs.NE), Àrees temàtiques de la UPC::Informàtica, Physics - Computational Physics

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/40003168
http://arxiv.org/abs/2404.11229
https://doaj.org/article/8862712b82ad4438bef4f031f7a82b7b

Computing Simplicial Depth by Using Importance Sampling Algorithm and Its Application

Authors: Fanyu Meng Wei Shao Yuxia Su

Source: Mathematical Problems in Engineering. 2021:1-11

Subject Terms: 0301 basic medicine, 03 medical and health sciences, 0101 mathematics, 01 natural sciences

File Description: text/xhtml

Mean field initialization of the Annealed Importance Sampling algorithm for an efficient evaluation of the Partition Function of Restricted Boltzmann Machines

Authors: Pou, A. Prat Romero, E. Martí, J. et al.

Index Terms: Physics - Computational Physics, Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2404.11229

Human Upper Body Post Estimation Based On Modified Multiple Importance Sampling Algorithm

Authors: Mahalakshmi M Vijayakumar D Krishnaven S et al.

Source: HELIX. 11:9-17

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://helixscientific.pub/index.php/home/article/download/377/317/1342

An Importance Sampling Algorithm for Exact Conditional Tests in Log-Linear Models

Authors: Booth, James G. Butler, Ronald W.

Source: Biometrika, 1999 Jun 01. 86(2), 321-332.

Access URL: https://www.jstor.org/stable/2673514

A Sequential Importance Sampling Algorithm for Counting Linear Extensions

Authors: Alathea Jensen Isabel Beichl

Source: ACM Journal of Experimental Algorithmics. 25:1-14

Subject Terms: FOS: Computer and information sciences, Computer Science - Data Structures and Algorithms, Probability (math.PR), FOS: Mathematics, Data Structures and Algorithms (cs.DS), Mathematics - Probability, 05C05, 65C05, 05C85, 05C81, 60J80

Access URL: http://arxiv.org/pdf/1902.01704
http://arxiv.org/abs/1902.01704
https://arxiv.org/abs/1902.01704
https://dblp.uni-trier.de/db/journals/corr/corr1902.html#abs-1902-01704
https://doi.org/10.1145/3385650
http://ui.adsabs.harvard.edu/abs/2019arXiv190201704B/abstract
https://dl.acm.org/doi/10.1145/3385650
https://www.arxiv-vanity.com/papers/1902.01704/
https://arxiv.org/abs/1902.01704

AK-Gibbs: An active learning Kriging model based on Gibbs importance sampling algorithm for small failure probabilities

Authors: Wei Zhang Ziyi Zhao Huanwei Xu et al.

Source: Computer Methods in Applied Mechanics and Engineering. 426:116992

A New Importance Sampling Algorithm for Fast Simulation of Linear Block Codes over BSCs

Authors: Wai Ho Mow Jinzhe Pan

Source: 2019 IEEE Information Theory Workshop (ITW). :1-5

Subject Terms: 0508 media and communications, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/itw/itw2019.html#PanM19

An adaptive importance sampling algorithm for Bayesian inversion with multimodal distributions

Contributors: Lin, Guang [Purdue University, West Lafayette, IN (United States)]

Source: Journal of Computational Physics; 294; C

File Description: Medium: ED; Size: p. 173-190

Access URL: http://www.osti.gov/scitech/servlets/purl/1182897

Efficient Importance Sampling Algorithm Applied to the Performance Analysis of Wireless Communication Systems Estimation

Authors: Amar, Eya Ben Rached, Nadhir Ben Haji-Ali, Abdul-Lateef et al.

Subject Terms: FOS: Computer and information sciences, Information Theory (cs.IT), 0101 mathematics, 01 natural sciences, Computation (stat.CO)

An Automatic Adaptive Importance Sampling Algorithm for Molecular Dynamics in Reaction Coordinates

Authors: Jannes Quer Marcus Weber Luca Donati et al.

Source: SIAM Journal on Scientific Computing. 40:A653-A670

Subject Terms: 0103 physical sciences, 01 natural sciences

Access URL: https://epubs.siam.org/doi/10.1137/17M1124772
https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/6595
https://opus4.kobv.de/opus4-zib/files/6207/AISZIB.pdf
https://dblp.uni-trier.de/db/journals/siamsc/siamsc40.html#QuerDKW18
http://publications.imp.fu-berlin.de/2125/

Cloud—based multiple importance sampling algorithm with AI based CNN classifier for secure infrastructure

Authors: R. Dhaya R. Kanthavel

Source: Automated Software Engineering. 28

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://link.springer.com/article/10.1007%2Fs10515-021-00293-y
https://dblp.uni-trier.de/db/journals/ase/ase28.html#RamakrishnanR21

A K-Means Clustering-Based Multiple Importance Sampling Algorithm for Integral Global Optimization

Authors: Chen Wang Dong-Hua Wu

Source: Journal of the Operations Research Society of China.

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Access URL: https://link.springer.com/article/10.1007/s40305-021-00353-w

An adaptive importance sampling algorithm for Bayesian inversion with multimodal distributions

Authors: Weixuan Li Guang Lin

Source: Journal of Computational Physics. 294:173-190

Subject Terms: 0101 mathematics, 16. Peace & justice, 01 natural sciences

Access URL: http://manuscript.elsevier.com/S0021999115002028/pdf/S0021999115002028.pdf
https://www.sciencedirect.com/science/article/pii/S0021999115002028
http://www.sciencedirect.com/science/article/pii/S0021999115002028
https://doi.org/10.1016/j.jcp.2015.03.047
https://www.osti.gov/pages/biblio/1182897-adaptive-importance-sampling-algorithm-bayesian-inversion-multimodal-distributions

Importance Sampling and Feature Fusion Paradigm-Boosted Multi-Modal Convolutional Neural Networks: Deployment in Composite Curing Process Monitored by Electro-Mechanical Impedance

Authors: Xin Zhao Zeyuan Gao Meng Li et al.

Source: IEEE Access, Vol 13, Pp 49630-49642 (2025)

Subject Terms: Composite curing, convolutional neural networks, electro-mechanical impedance, Electrical engineering. Electronics. Nuclear engineering, multi-modal learning, importance sampling algorithm, TK1-9971

Access URL: https://doaj.org/article/449e9944b27146dfb930b1bca58a4c27

An Improvement of a Metamodel-Based Importance Sampling Algorithm for Estimating Small Failure Probabilities

Authors: CADINI, FRANCESCO Gioletta, A. ZIO, ENRICO et al.

Contributors: CADINI, FRANCESCO Gioletta, A. ZIO, ENRICO et al.

Source: Vulnerability, Uncertainty, and Risk. :2104-2114

Subject Terms: [SPI] Engineering Sciences [physics], 0211 other engineering and technologies, 02 engineering and technology, Safety, Risk, Reliability and Quality, 0201 civil engineering

Access URL: https://hal.science/hal-04366320v1
https://doi.org/10.1061/9780784413609.211
https://ascelibrary.org/doi/abs/10.1061/9780784413609.211
https://core.ac.uk/display/55253918
https://re.public.polimi.it/handle/11311/968351
https://hdl.handle.net/11311/968351
https://doi.org/10.1061/9780784413609.211

A general importance sampling algorithm for estimating portfolio loss probabilities in linear factor models

Authors: Adam Metzler Alexandre Scott

Source: Insurance: Mathematics and Economics. 64:279-293

Subject Terms: 8. Economic growth, 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 16. Peace & justice, 01 natural sciences

Access URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2556527
https://ssrn.com/abstract=2556527
https://www.infona.pl/resource/bwmeta1.element.elsevier-fa883c40-cd40-3b2c-b9bc-342fb07141e2
https://ideas.repec.org/a/eee/insuma/v64y2015icp279-293.html
https://www.sciencedirect.com/science/article/pii/S0167668715000955
https://econpapers.repec.org/RePEc:eee:insuma:v:64:y:2015:i:c:p:279-293

A novel adaptive importance sampling algorithm for Bayesian model updating

Authors: Xiong Xiao Quanwang Li Zeyu Wang

Source: Structural Safety. 97:102230

Subject Terms: 02 engineering and technology, 0101 mathematics, 01 natural sciences, 0201 civil engineering