Wiedemann, Simon

3 publications

TMLR 2023 Quantum Policy Iteration via Amplitude Estimation and Grover Search – Towards Quantum Advantage for Reinforcement Learning Simon Wiedemann, Daniel Hein, Steffen Udluft, Christian B. Mendl

CVPRW 2020 Dithered Backprop: A Sparse and Quantized Backpropagation Algorithm for More Efficient Deep Neural Network Training Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek

CVPRW 2020 Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T) Arturo Marbán, Daniel Becking, Simon Wiedemann, Wojciech Samek