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Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
29citations -
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks2026 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Reinforcement Learning in Robotics Open access
Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova
0citations -
Mathematical formulation of quantum circuit design problems in networks of quantum computers2020 Quantum Information Processing article Computer Science Quantum Computing Algorithms and Architecture Open access
Roy van Houte, Jesse Mulderij, Thomas Attema, Irina Chiscop, Frank Phillipson
11citations