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Klaus-Robert Muller

Showing results (1-10 of 36) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|June 1, 2019
Compact and Computationally Efficient Representation of Deep Neural NetworksSimon Wiedemann, Klaus-Robert Muller, Wojciech Samek
IEEE Transactions on Neural Networks and Learning Systems|January 24, 2017
Efficient Exact Inference With Loss Augmented Objective in Structured LearningAlexander Bauer, Shinichi Nakajima, Klaus-Robert Muller
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Multiple kernel learning for brain-computer interfacingWojciech Samek, Alexander Binder, Klaus-Robert Muller
IEEE Transactions on Neural Networks and Learning Systems|December 15, 2015
Accurate Maximum-Margin Training for Parsing With Context-Free GrammarsAlexander Bauer, Mikio Braun, Klaus-Robert Muller
IEEE Transactions on Neural Networks and Learning Systems|August 25, 2020
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy ConstraintsFelix Sattler, Klaus-Robert Muller, Wojciech Samek
IEEE Reviews in Biomedical Engineering|November 6, 2025
Deep Learning From Diffuse Optical Oximetry Time-Series: An fNIRS-Focused Review of Recent Advancements and Future DirectionsTheekshana Dissanayake, Klaus-Robert Muller, Alexander von Luhmann
IEEE Transactions on Bio-Medical Engineering|March 27, 2013
Transferring subspaces between subjects in brain--computer interfacingWojciech Samek, Frank C Meinecke, Klaus-Robert Muller
IEEE Transactions on Neural Networks and Learning Systems|February 8, 2022
Langevin Cooling for Unsupervised Domain TranslationVignesh Srinivasan, Klaus-Robert Muller, Wojciech Samek, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 6, 2019
Robust and Communication-Efficient Federated Learning From Non-i.i.d. DataFelix Sattler, Simon Wiedemann, Klaus-Robert Muller, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Brain-computer interfacing in discriminative and stationary subspacesWojciech Samek, Klaus-Robert Muller, Motoaki Kawanabe, et al.
Pageof 4

Showing results (1-10 of 36) with videos related to

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Pageof 4
IEEE Transactions on Neural Networks and Learning Systems|June 1, 2019
Compact and Computationally Efficient Representation of Deep Neural NetworksSimon Wiedemann, Klaus-Robert Muller, Wojciech Samek
IEEE Transactions on Neural Networks and Learning Systems|January 24, 2017
Efficient Exact Inference With Loss Augmented Objective in Structured LearningAlexander Bauer, Shinichi Nakajima, Klaus-Robert Muller
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Multiple kernel learning for brain-computer interfacingWojciech Samek, Alexander Binder, Klaus-Robert Muller
IEEE Transactions on Neural Networks and Learning Systems|December 15, 2015
Accurate Maximum-Margin Training for Parsing With Context-Free GrammarsAlexander Bauer, Mikio Braun, Klaus-Robert Muller
IEEE Transactions on Neural Networks and Learning Systems|August 25, 2020
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy ConstraintsFelix Sattler, Klaus-Robert Muller, Wojciech Samek
IEEE Reviews in Biomedical Engineering|November 6, 2025
Deep Learning From Diffuse Optical Oximetry Time-Series: An fNIRS-Focused Review of Recent Advancements and Future DirectionsTheekshana Dissanayake, Klaus-Robert Muller, Alexander von Luhmann
IEEE Transactions on Bio-Medical Engineering|March 27, 2013
Transferring subspaces between subjects in brain--computer interfacingWojciech Samek, Frank C Meinecke, Klaus-Robert Muller
IEEE Transactions on Neural Networks and Learning Systems|February 8, 2022
Langevin Cooling for Unsupervised Domain TranslationVignesh Srinivasan, Klaus-Robert Muller, Wojciech Samek, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 6, 2019
Robust and Communication-Efficient Federated Learning From Non-i.i.d. DataFelix Sattler, Simon Wiedemann, Klaus-Robert Muller, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Brain-computer interfacing in discriminative and stationary subspacesWojciech Samek, Klaus-Robert Muller, Motoaki Kawanabe, et al.
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