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Wojciech Samek

Fraunhofer Institute FIRST, Berlin, Germany and Berlin Institute of Technology, Berlin, Germany

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Asymptotically unbiased estimation of physical observables with neural samplers

Kim A Nicoli,Shinichi Nakajima, Nils Strodthoff,Wojciech Samek,Klaus-Robert Müller, Pan Kessel

Physical review. E, no. 2-1 (2020): 023304

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Communication-Efficient Federated Distillation

Felix Sattler, Arturo Marban, Roman Rischke,Wojciech Samek

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Accurate and robust neural networks for face morphing attack detection

Clemens Seibold,Wojciech Samek,Anna Hilsmann,Peter Eisert

workshop on information security applications, (2020): 102526

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Langevin Cooling for Domain Translation

Vignesh Srinivasan,Klaus-Robert Müller,Wojciech Samek,Shinichi Nakajima

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Explanation-Guided Training for Cross-Domain Few-Shot Classification

Jiamei Sun, Sebastian Lapuschkin,Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung,Alexander Binder

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Interval Neural Networks as Instability Detectors for Image Reconstructions

Jan Macdonald, Maximilian März, Luis Oala,Wojciech Samek

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USMPep: universal sequence models for major histocompatibility complex binding affinity prediction

Johanna Vielhaben, Markus Wenzel,Wojciech Samek, Nils Strodthoff

BMC Bioinformatics, no. 1 (2020): 1-16

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Accurate and robust neural networks for face morphing attack detection

Clemens Seibold,Wojciech Samek,Anna Hilsmann,Peter Eisert

Journal of Information Security and Applications, (2020): 102526

EIBibtex

Sensor Artificial Intelligence and its Application to Space Systems -- A White Paper

Börner Anko, Hübers Heinz-Wilhelm,Kao Odej, Schmidt Florian,Becker Sören, Denzler Joachim, Matolin Daniel, Haber David, Lucia Sergio,Samek Wojciech, Triebel Rudolph, Eichstädt Sascha

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On the Byzantine Robustness of Clustered Federated Learning

Felix Sattler,Klaus-Robert Muller, Thomas Wiegand,Wojciech Samek

ICASSP, pp.8861-8865, (2020)

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FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons

Simon Wiedemann, Suhas Shivapakash, Pablo Wiedemann, Daniel Becking,Wojciech Samek, Friedel Gerfers,Thomas Wiegand

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PTB-XL, a large publicly available electrocardiography dataset

Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Dieter Kreiseler, Fatima I Lunze,Wojciech Samek, Tobias Schaeffter

Scientific data, no. 1 (2020): 154

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Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

Strodthoff Nils, Wagner Patrick, Schaeffter Tobias,Samek Wojciech

IEEE journal of biomedical and health informatics, no. 99 (2020): 1-1

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Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements

Sattler Felix, Ma Jackie, Wagner Patrick, Neumann David, Wenzel Markus, Schäfer Ralf,Samek Wojciech,Müller Klaus-Robert,Wiegand Thomas

NPJ digital medicine, no. 1 (2020): 129

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Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution

Goh Gary S. W., Lapuschkin Sebastian, Weber Leander,Samek Wojciech,Binder Alexander

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Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training

Wiedemann Simon, Mehari Temesgen, Kepp Kevin,Samek Wojciech

CVPR Workshops, pp.3096-3104, (2020)

EIBibtex

UDSMProt: Universal Deep Sequence Models for Protein Classification

Nils Strodthoff, Patrick Wagner, Markus Wenzel,Wojciech Samek

BIOINFORMATICS, no. 8 (2020): 2401-2409

Cited by2WOSEIBibtex

Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)

Marban Arturo, Becking Daniel, Wiedemann Simon,Samek Wojciech

CVPR Workshops, pp.3105-3113, (2020)

EIBibtex

Compact and Computationally Efficient Representation of Deep Neural Networks

Simon Wiedemann,Klaus-Robert Müller,Wojciech Samek

IEEE Transactions on Neural Networks and Learning Systems, no. 3 (2020): 772-785

Cited by17EIWOSBibtex

Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond

Samek Wojciech,Montavon Grégoire, Lapuschkin Sebastian, Anders Christopher J.,Müller Klaus-Robert

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