281 citations
- Johannes Kepler University of LinzAT11 papers
- University of ViennaAT10 papers
- Innsbruck Medical UniversityAT9 papers
- University of Applied Sciences Technikum WienAT8 papers
- Austrian Academy of SciencesAT7 papers
- Sapienza University of RomeIT7 papers
- Universität InnsbruckAT7 papers
- Universidad de OviedoES4 papers
- Graz University of TechnologyAT3 papers
- Institute of Nuclear Physics, Polish Academy of SciencesPL3 papers
- Leibniz Institute for Solid State and Materials ResearchDE3 papers
- University of St.GallenCH3 papers
39 papers
Vision-Based Human Awareness Estimation for Enhanced Safety and Efficiency of AMRs in Industrial Warehouses
Maximilian Haug, Christian Stippel, Lukas Pscherer +5
Ensuring human safety is of paramount importance in warehouse environments that feature mixed traffic of human workers and autonomous mobile robots (AMRs). Current approaches often…
A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks
Tomas Hrycej, Bernhard Bermeitinger, Massimo Pavone +2
The key task of machine learning is to minimize the loss function that measures the model fit to the training data. The numerical methods to do this efficiently depend on the prope…
Ability of entanglement and purity to help to detect systematic experimental errors
Julia Freund, Francesco Basso Basset, Tobias M. Krieger +12
Measurements are central in all quantitative sciences, and a fundamental challenge is to make observations without systematic measurement errors. This holds in particular for quant…
Efficient Neural Network Training via Subset Pretraining
Jan Spörer, Bernhard Bermeitinger, Tomas Hrycej +2
In training neural networks, it is common practice to use partial gradients computed over batches, mostly very small subsets of the training set. This approach is motivated by the…
Reducing the Transformer Architecture to a Minimum
Bernhard Bermeitinger, Tomas Hrycej, Massimo Pavone +2
Transformers are a widespread and successful model architecture, particularly in Natural Language Processing (NLP) and Computer Vision (CV). The essential innovation of this archit…
Beyond the four-level model: Dark and hot states in quantum dots degrade photonic entanglement
Barbara Ursula Lehner, Tim Seidelmann, Gabriel Undeutsch +9
Entangled photon pairs are essential for a multitude of photonic quantum applications. To date, the best performing solid-state quantum emitters of entangled photons are semiconduc…