The working paper “Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization” by Eva Bartz, Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein was published on … More
Category: Machine Learning
Working Paper: Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT
Authors: Thomas Bartz-Beielstein, Frederik Rehbach, Amrita Sen, and Martin ZaeffererCategories: cs.LGMSC-class: 68T07ACM-class: A.1; B.8.0; G.1.6; G.4; I.2.8 A surrogate model … More
Cognitive Capabilities for the Cognitive Architecture for Artificial Intelligence (CAAI) in Cyber-Physical Production Systems (Open Access Article)
Our (Jan Strohschein, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz & Thomas Bartz-Beielstein) article “Cognitive capabilities for the CAAI in cyber-physical production systems” has been … More
Machine Learning Collage by Robert Lange: Four Deep Learning Papers to Read in June 2021
Robert Lange drafts one-slide visual summaries (“ML collages) of his favorite recent papers (published on towardsdatascience), e.g., Also interesting: “What … More
What is Uncertainty in Machine Learning? Presentation from Matias Valdenegro (German Research Center for Artificial Intelligence)
Dr. Matias Valdenegro Toro from the German Research Center for Artificial Intelligence, Bremen talked about “Uncertainty Quantification in Computer Vision … More
RStudio: Deep Learning with Keras Cheatsheet
Keras is a high-level neural networks API developed with a focus on enabling fast experimentation. Keras supports both convolution based networks and … More
ACM TELO (Transactions on Evolutionary Learning and Optimization): Free Inaugural Issue Editorial
About TELO. The ACM Transactions on Evolutionary Learning and Optimization will publish high quality original papers in all areas of evolutionary computation … More
Top 10 AI and ML developer updates from Google I/O 2021
“Behavior-based Neuroevolutionary Training in Reinforcement Learning” Available on arXiv
Authors. Stork, J., Zaefferer, M., Eisler, N., Tichelmann, P., Bartz-Beielstein, T., and Eiben, A. E Abstract. In addition to their … More
Dorit Hochbaum will be the next speaker at the Online Seminar Series “Machine Learning NeEDS Mathematical Optimization”
This is a highly recommended seminar series!Dorit Hochbaum will be the next speaker at the Online Seminar Series “Machine Learning … More