324 citations · 617 across the 8 of their papers we have counts for
8 papers
HARNet: A Convolutional Neural Network for Realized Volatility Forecasting
Rafael Reisenhofer, Xandro Bayer, Nikolaus Hautsch
Despite the impressive success of deep neural networks in many application areas, neural network models have so far not been widely adopted in the context of volatility forecasting…
Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks
Michael Scherbela, Rafael Reisenhofer, Leon Gerard +2
Accurate numerical solutions for the Schrödinger equation are of utmost importance in quantum chemistry. However, the computational cost of current high-accuracy methods scales poo…
The Oracle of DLphi
Dominik Alfke, Weston Baines, Jan Blechschmidt +24
We present a novel technique based on deep learning and set theory which yields exceptional classification and prediction results. Having access to a sufficiently large amount of l…
Edge, Ridge, and Blob Detection with Symmetric Molecules
Rafael Reisenhofer, Emily J. King
We present a novel approach to the detection and characterization of edges, ridges, and blobs in two-dimensional images which exploits the symmetry properties of directionally sens…
Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation
Leon Bungert, David A. Coomes, Matthias J. Ehrhardt +3
Hyperspectral imaging is a cutting-edge type of remote sensing used for mapping vegetation properties, rock minerals and other materials. A major drawback of hyperspectral imaging…
A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment
Rafael Reisenhofer, Sebastian Bosse, Gitta Kutyniok +1
In most practical situations, the compression or transmission of images and videos creates distortions that will eventually be perceived by a human observer. Vice versa, image and…
Shearlet-Based Detection of Flame Fronts
Rafael Reisenhofer, Johannes Kiefer, Emily J. King
Identifying and characterizing flame fronts is the most common task in the computer-assisted analysis of data obtained from imaging techniques such as planar laser-induced fluoresc…
ShearLab 3D: Faithful Digital Shearlet Transforms based on Compactly Supported Shearlets
Gitta Kutyniok, Wang-Q Lim, Rafael Reisenhofer
Wavelets and their associated transforms are highly efficient when approximating and analyzing one-dimensional signals. However, multivariate signals such as images or videos typic…