DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis

DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis

31 March 2023

Fu Xing Long

Peter Krause

Papers citing "DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis"

16 / 16 papers shown

Title
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes M. Seiler Raphael Patrick Prager P. Kerschke Heike Trautmann 51 20 0 12 Apr 2022
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection Anja Jankovic Gorjan Popovski T. Eftimov Carola Doerr 33 23 0 19 Apr 2021
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions Quentin Renau Johann Dréo Carola Doerr Benjamin Doerr 24 33 0 01 Feb 2021
Neural Network Design: Learning from Neural Architecture Search Bas van Stein Hongya Wang Thomas Bäck 14 10 0 01 Nov 2020
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem M. Seiler J. Pohl Jakob Bossek P. Kerschke Heike Trautmann 15 21 0 29 Jun 2020
Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants Anja Jankovic Carola Doerr 34 38 0 17 Jun 2020
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges D. Charte F. Charte M. J. D. Jesus Francisco Herrera SSL OOD 109 51 0 21 May 2020
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 66 2,322 0 06 Jun 2019
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 52 442 0 12 Dec 2018
Automated Algorithm Selection: Survey and Perspectives P. Kerschke Holger H. Hoos Frank Neumann Heike Trautmann 26 376 0 28 Nov 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
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning P. Kerschke Heike Trautmann 49 151 0 24 Nov 2017
Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco P. Kerschke 27 101 0 17 Aug 2017
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 372 16,962 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 184 12,384 0 24 Jun 2012
CMA-ES with Two-Point Step-Size Adaptation Nikolaus Hansen 81 579 0 02 May 2008