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Sebastian Baunsgaard, Matthias Boehm
AWARE: Workload-aware, Redundancy-exploiting Linear Algebra
Yuanyuan Gao, De’Ja Rogers, Alexander von Lühmann, Antonio Ortega-Martinez, David A. Boas, Meryem A. Yücel
Short-separation regression incorporated diffuse optical tomography image reconstruction modeling for high-density functional near-infrared spectroscopy.
Ernesto E. Vidal-Rosas, Alexander von Lühmann, Paola Pinti, Robert J. Cooper
Wearable, high-density fNIRS and diffuse optical tomography technologies: a perspective
Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Sašo Džeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider et al.
Artificial intelligence to advance Earth observation: a perspective
Stefan Blücher, Klaus-Robert Müller, Stefan Chmiela
Reconstructing Kernel-Based Machine Learning Force Fields with Superlinear Convergence.
Tom Ganz, Inaam Ashraf, Martin Härterich, Konrad Rieck
Detecting Backdoors in Collaboration Graphs of Software Repositories
Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus Robert Müller, Shinichi Nakajima
Relevant Walk Search for Explaining Graph Neural Networks
Alexander Warnecke, Julian Speith, Jan-Niklas Möller, Konrad Rieck, Christof Paar
Evil from Within: Machine Learning Backdoor through Hardware Trojans
Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Alexander Bauer, Shinichi Nakajima, Klaus-Robert Müller