84 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Graz University of TechnologyAT7 papers
- GSI Helmholtz Centre for Heavy Ion ResearchDE5 papers
- Justus-Liebig-Universität GießenDE5 papers
- Nawi GrazAT4 papers
- University of GrazAT4 papers
- Institut für HochschulforschungDE3 papers
- Johannes Kepler University of LinzAT3 papers
- Giessen School of TheologyDE2 papers
- Imperial College LondonGB2 papers
- Know Center Research GmbH (Austria)AT2 papers
- Slovak University of Technology in BratislavaSK2 papers
- Universidad Michoacana de San Nicolás de HidalgoMX2 papers
5 papers · 1 filter
Shot-noise-limited emission from interband and quantum cascade lasers
Tecla Gabbrielli, Jacopo Pelini, Georg Marschick +12
The intensity noise of a laser source represents one of the key factors limiting the ultimate sensitivity in laser-based systems for sensing and telecommunication. For advanced app…
Initialization-Free Multistate Memristor: Synergy of Spin-Orbit Torque and Magnetic Fields
Raghvendra Posti, Chirag Kalouni, Dhananjay K Tiwari +1
Spin-orbit torque (SOT)-based perpendicularly magnetized memory devices with multistate memory have garnered significant interest due to their applicability in low-power in-memory…
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Maximilian Baronig, Romain Ferrand, Silvester Sabathiel +1
Implementations of spiking neural networks on neuromorphic hardware promise orders of magnitude less power consumption than their non-spiking counterparts. The standard neuron mode…
Continual Learning in the Presence of Repetition
Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan +11
Continual learning (CL) provides a framework for training models in ever-evolving environments. Although re-occurrence of previously seen objects or tasks is common in real-world p…
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices
Gleb Radchenko, Victoria Andrea Fill
Initially considered as low-power units with limited autonomous processing, Edge IoT devices have seen a paradigm shift with the introduction of FPGAs and AI accelerators. This adv…