A machine learning approach for fighting the curse of dimensionality in global optimization

28 October 2021

Papers citing "A machine learning approach for fighting the curse of dimensionality in global optimization"

20 / 20 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 237 30,089 0 01 Mar 2022
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design Yi Zhang AI4CE 62 6 0 10 Oct 2021
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning Antoine Grosnit Rasul Tutunov A. Maraval Ryan-Rhys Griffiths Alexander I. Cowen-Rivers ... Wenlong Lyu Zhitang Chen Jun Wang Jan Peters Haitham Bou-Ammar BDL DRL 60 60 0 07 Jun 2021
Good practices for Bayesian Optimization of high dimensional structured spaces E. Siivola Javier I. González Andrei Paleyes Aki Vehtari 67 37 0 31 Dec 2020
Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization Suhas Lohit Rushil Anirudh Pavan Turaga 36 11 0 03 Dec 2020
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems Liwei Wang Yu-Chin Chan Faez Ahmed Zhao Liu Ping Zhu Wei Chen AI4CE 37 215 0 27 Jun 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 81 463 0 03 Oct 2019
Gradient-free activation maximization for identifying effective stimuli Will Xiao Gabriel Kreiman 32 10 0 01 May 2019
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs Gitta Kutyniok P. Petersen Mones Raslan R. Schneider 60 198 0 31 Mar 2019
Functional Generative Design: An Evolutionary Approach to 3D-Printing C. Tutum Supawit Chockchowwat E. Vouga Risto Miikkulainen 32 9 0 19 Apr 2018
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines D. Charte F. Charte S. García M. J. D. Jesus Francisco Herrera 69 257 0 04 Jan 2018
Shape optimization in laminar flow with a label-guided variational autoencoder Stephan Eismann S. Bartzsch Stefano Ermon AI4CE 36 13 0 10 Dec 2017
Grammar Variational Autoencoder Matt J. Kusner Brooks Paige José Miguel Hernández-Lobato BDL DRL 75 840 0 06 Mar 2017
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 147 2,921 0 07 Oct 2016
An Introduction to Convolutional Neural Networks K. O’Shea Ryan Nash FaML HAI 62 3,126 0 26 Nov 2015
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 86 2,226 0 18 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 424 16,944 0 20 Dec 2013
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 161 443 0 09 Jan 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 331 7,923 0 13 Jun 2012