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LSTM-based Inverse Dynamics Learning for Franka Emika Robot2024 International Conference on Control, Automation and Diagnosis (ICCAD) conference-paper Computer Science Reinforcement Learning in Robotics
Jan-Niklas Schneider, Leon Gorißen, Thomas Käster, Philipp Walderich, Christian Hinke
1citations -
Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices2023 Applied Sciences article Computer Science Parallel Computing and Optimization Techniques Open access
Bruno Golosio, José Villamar, Gianmarco Tiddia, Elena Pastorelli, Jonas Stapmanns, Viviana Fanti, +3 more
10citations -
t8code - modular adaptive mesh refinement in the exascale era2025 The Journal of Open Source Software article Computer Science Parallel Computing and Optimization Techniques Open access
Johannes Holke, Johannes Markert, David Knapp, Sandro Elsweijer, Niklas Böing, Ioannis Lilikakis, +18 more
4citations -
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems2020 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access
Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar
4citations -
NUMA balancing hampering performance of spiking network simulations2026 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Melissa Lober, Alp Inangu, Gorka Peraza Coppola, D. Terhorst, Sebastian Gillessen, Jan Vogelsang, +6 more
0citations -
Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices2023 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Bruno Golosio, José Villamar, Gianmarco Tiddia, Elena Pastorelli, Jonas Stapmanns, Viviana Fanti, +3 more
0citations -
Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices2023 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Parallel Computing and Optimization Techniques Open access
Bruno Golosio, José Villamar, Gianmarco Tiddia, Elena Pastorelli, Jonas Stapmanns, Viviana Fanti, +3 more
0citations -
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers2022 Parallel Computing article Computer Science Parallel Computing and Optimization Techniques Open access
Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
27citations -
Clustering-based Domain-Incremental Learning2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Christiaan Lamers, René Vidal, Nabil Belbachir, Bas van Stein, Thomas Bäck, Paris V. Giampouras
20citations -
EXCELLERATP2 D3.2 First Updated Report on Exa-Enabling Methodologies2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Parallel Computing and Optimization Techniques Open access
Ansgar Niemöller, Matthias H. Meinke, Joeffrey Legaux, Mohamed Ibrahim Ghenai, Michael Wagner, Tufan Arslan, +12 more
0citations -
XYZ Ruby Code: Making a Case for a Three-Colored Graphical Calculus for Quantum Error Correction in Spacetime2025 RWTH Publications (RWTH Aachen) article Computer Science Quantum Computing Algorithms and Architecture Open access
Julio C. Magdalena de la Fuente, Josias Old, Alex Townsend-Teague, Manuel Rispler, Jens Eisert, Markus Michael Müller
0citations