Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations

20 January 2023

Papers citing "Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations"

7 / 7 papers shown

Title
PETNet -- Coincident Particle Event Detection using Spiking Neural Networks Jan Debus Charlotte Debus Günther Dissertori Markus Gotz 31 0 0 09 Apr 2025
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability Stefan Meisenbacher Kaleb Phipps Oskar Taubert Marie Weiel Markus Gotz Ralf Mikut V. Hagenmeyer 72 0 0 30 Nov 2024
Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients Katharina Flügel D. Coquelin Marie Weiel Achim Streit Markus Gotz 25 0 0 23 Oct 2024
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers Arvid Weyrauch T. Steens Oskar Taubert Benedikt Hanke Aslan Eqbal Ewa Götz Achim Streit Markus Goetz Charlotte Debus 28 2 0 06 May 2024
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning D. Coquelin Katherina Flügel Marie Weiel Nicholas Kiefer Muhammed Öz Charlotte Debus Achim Streit Markus Goetz 37 0 0 02 May 2024
Harnessing Orthogonality to Train Low-Rank Neural Networks D. Coquelin Katharina Flügel Marie Weiel Nicholas Kiefer Charlotte Debus Achim Streit Markus Goetz 18 1 0 16 Jan 2024
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 326 0 20 Sep 2021