E-LIB Suche - Ergebnisse für: Simon Wiedemann

1

Deep learning reconstructed T2-weighted Dixon imaging of th..:

Berkarda, Zeynep ; Wiedemann, Simon ; Wilpert, Caroline...
European Journal of Radiology. 178 (2024) - p. 111633 , 2024

Link: https://doi.org/10.1016/..

2

Simultaneous Identification of Inverter and Machine Nonline..:

Wiedemann, Simon ; Hackl, Christoph Michael
IEEE Transactions on Energy Conversion. 38 (2023) 3 - p. 1767-1780 , 2023

Link: https://doi.org/10.1109/..

3

Compact and efficient representations of deep neural networ..:

Wiedemann, Simon , 2022

Link: https://nbn-resolving.de..

4

FantastIC4: A Hardware-Software Co-Design Approach for Effi..:

Wiedemann, Simon ; Shivapakash, Suhas ; Becking, Daniel...
IEEE Open Journal of Circuits and Systems. 2 (2021) - p. 407-419 , 2021

Link: https://doi.org/10.1109/..

5

Pruning by explaining: A novel criterion for deep neural ne..:

Yeom, Seul-Ki ; Seegerer, Philipp ; Lapuschkin, Sebastian...
Pattern Recognition. 115 (2021) - p. 107899 , 2021

Link: https://doi.org/10.1016/..

6

Design and Evaluation of Fault-Tolerant Electro-Mechanical ..:

Ismail, Mohamed A. A. ; Wiedemann, Simon ; Bosch, Colin.
Actuators. 10 (2021) 8 - p. 175 , 2021

Link: https://doi.org/10.3390/..

7

Deepcabac: Plug & Play Compression of Neural Network Weight..:

, In: 2020 IEEE International Conference on Image Processing (ICIP),

Neumann, David ; Sattler, Felix ; Kirchhoffer, Heiner... - p. 21-25 , 2020

Link: https://doi.org/10.1109/..

8

Robust and Communication-Efficient Federated Learning From ..:

Sattler, Felix ; Wiedemann, Simon ; Muller, Klaus-Robert.
IEEE Transactions on Neural Networks and Learning Systems. 31 (2020) 9 - p. 3400-3413 , 2020

Link: https://doi.org/10.1109/..

9

Learning Sparse & Ternary Neural Networks with Entropy-Cons..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Marban, Arturo ; Becking, Daniel ; Wiedemann, Simon. - p. 3105-3113 , 2020

Link: https://doi.org/10.1109/..

10

DeepCABAC: A Universal Compression Algorithm for Deep Neura..:

Wiedemann, Simon ; Kirchhoffer, Heiner ; Matlage, Stefan...
IEEE Journal of Selected Topics in Signal Processing. 14 (2020) 4 - p. 700-714 , 2020

Link: https://doi.org/10.1109/..

11

Compact and Computationally Efficient Representation of Dee..:

Wiedemann, Simon ; Muller, Klaus-Robert ; Samek, Wojciech
IEEE Transactions on Neural Networks and Learning Systems. 31 (2020) 3 - p. 772-785 , 2020

Link: https://doi.org/10.1109/..

12

Dithered backprop: A sparse and quantized backpropagation a..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Wiedemann, Simon ; Mehari, Temesgen ; Kepp, Kevin. - p. 3096-3104 , 2020

Link: https://doi.org/10.1109/..

13

Dependent Scalar Quantization For Neural Network Compressio:

, In: 2020 IEEE International Conference on Image Processing (ICIP),

Haase, Paul ; Schwarz, Heiko ; Kirchhoffer, Heiner... - p. 36-40 , 2020

Link: https://doi.org/10.1109/..

14

Entropy-Constrained Training of Deep Neural Networks:

, In: 2019 International Joint Conference on Neural Networks (IJCNN),

Wiedemann, Simon ; Marban, Arturo ; Muller, Klaus-Robert. - p. 1-8 , 2019

Link: https://doi.org/10.1109/..

15

Sparse Binary Compression: Towards Distributed Deep Learnin..:

, In: 2019 International Joint Conference on Neural Networks (IJCNN),

Sattler, Felix ; Wiedemann, Simon ; Muller, Klaus-Robert. - p. 1-8 , 2019

Link: https://doi.org/10.1109/..