no code implementations • 23 Dec 2023 • Lokesh Veeramacheneni, Moritz Wolter, Juergen Gall
In response, we propose a new frequency band-based quality metric, which opens a door into the frequency domain yet, at the same time, preserves spatial aspects of the data.
1 code implementation • 22 May 2023 • Konstantin Gasenzer, Moritz Wolter
Today's generative neural networks allow the creation of high-quality synthetic speech at scale.
1 code implementation • 3 Jun 2022 • Lokesh Veeramacheneni, Moritz Wolter, Reinhard Klein, Jochen Garcke
We introduce canonical weight normalization for convolutional neural networks.
1 code implementation • 24 Mar 2022 • Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
In machine learning, fewer features reduce model complexity.
1 code implementation • 30 Aug 2021 • Raoul Heese, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski
Recent advances in practical quantum computing have led to a variety of cloud-based quantum computing platforms that allow researchers to evaluate their algorithms on noisy intermediate-scale quantum (NISQ) devices.
2 code implementations • 17 Jun 2021 • Moritz Wolter, Felix Blanke, Raoul Heese, Jochen Garcke
Additionally, this paper proposes to learn a model for the detection of synthetic images based on the wavelet-packet representation of natural and GAN-generated images.
no code implementations • 23 Dec 2020 • Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski
The results provide intuition on how randomized search heuristics behave on actual quantum hardware and lay out a path for further refinement of evolutionary quantum gate circuits.
1 code implementation • 20 Apr 2020 • Moritz Wolter, Shaohui Lin, Angela Yao
Linear layers still occupy a significant portion of the parameters in recurrent neural networks (RNNs).
1 code implementation • 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2020 • Moritz Wolter, Angela Yao, and Sven Behnke
The ability to anticipate the future is essential for ac-tion planning in autonomous systems.
no code implementations • 13 Dec 2019 • Kristina Enes, Hassan Errami, Moritz Wolter, Tim Krake, Bernhard Eberhardt, Andreas Weber, Jörg Zimmermann
Exploring the influence of the number of delays on the reconstruction and prediction of various motion classes, we show that the anticipation errors in our results are comparable or even better for very short anticipation times ($<0. 4$ sec) to a recurrent neural network based method.
2 code implementations • 13 Dec 2018 • Moritz Wolter, Juergen Gall, Angela Yao
Fourier methods have a long and proven track record as an excellent tool in data processing.
1 code implementation • NeurIPS 2018 • Moritz Wolter, Angela Yao
Complex numbers have long been favoured for digital signal processing, yet complex representations rarely appear in deep learning architectures.