Simon Wiedemann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
4
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | QCE | From Classical Data to Quantum Advantage - Quantum Policy Evaluation on Quantum Hardware. | Daniel Hein, Simon Wiedemann, Markus Baumann, Patrik Felbinger, Justin Klein, Maximilian Schieder, Jonas Stein, Danille Schuman, Thomas Cope, Steffen Udluft |
| 2020 | CVPR | Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T). | Arturo Marbn, Daniel Becking, Simon Wiedemann, Wojciech Samek |
| 2020 | CVPR | Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. | Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek |
| 2020 | ICIP | Dependent Scalar Quantization For Neural Network Compression. | Paul Haase, Heiko Schwarz, Heiner Kirchhoffer, Simon Wiedemann, Talmaj Marinc, Arturo Marbn, Karsten Mller, Wojciech Samek, Detlev Marpe, Thomas Wiegand |
| 2020 | ICIP | Deepcabac: Plug & Play Compression of Neural Network Weights and Weight Updates. | David Neumann, Felix Sattler, Heiner Kirchhoffer, Simon Wiedemann, Karsten Mller, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek |
| 2019 | IJCNN | Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. | Felix Sattler, Simon Wiedemann, Klaus-Robert Mller, Wojciech Samek |
| 2019 | IJCNN | Entropy-Constrained Training of Deep Neural Networks. | Simon Wiedemann, Arturo Marbn, Klaus-Robert Mller, Wojciech Samek |