720 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Applied Sciences St. GallenCH12 papers
- Technical University of MunichDE11 papers
- ETH ZurichCH10 papers
- University of OxfordGB9 papers
- University of ZurichCH7 papers
- RWTH Aachen UniversityDE6 papers
- University of PassauDE6 papers
- Ludwig-Maximilians-Universität MünchenDE5 papers
- Sapienza University of RomeIT5 papers
- University of KasselDE5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Imperial College LondonGB4 papers
15 papers · 1 filter
Equivalence and Characterizations of Linear Rank-Metric Codes Based on Invariants
Alessandro Neri, Sven Puchinger, Anna-Lena Horlemann-Trautmann
We show that the sequence of dimensions of the linear spaces, generated by a given rank-metric code together with itself under several applications of a field automorphism, is an i…
Uniform error estimates for artificial neural network approximations for heat equations
Lukas Gonon, Philipp Grohs, Arnulf Jentzen +2
Recently, artificial neural networks (ANNs) in conjunction with stochastic gradient descent optimization methods have been employed to approximately compute solutions of possibly r…
Risk bounds for reservoir computing
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
We analyze the practices of reservoir computing in the framework of statistical learning theory. In particular, we derive finite sample upper bounds for the generalization error co…
Direct and Indirect Effects based on Changes-in-Changes
Martin Huber, Mark Schelker, Anthony Strittmatter
We propose a novel approach for causal mediation analysis based on changes-in-changes assumptions restricting unobserved heterogeneity over time. This allows disentangling the caus…
Adversarial Learning of Deepfakes in Accounting
Marco Schreyer, Timur Sattarov, Bernd Reimer +1
Nowadays, organizations collect vast quantities of accounting relevant transactions, referred to as 'journal entries', in 'Enterprise Resource Planning' (ERP) systems. The aggregat…
Sorting on the Used-Car Market After the Volkswagen Emission Scandal
Anthony Strittmatter, Michael Lechner
The disclosure of the VW emission manipulation scandal caused a quasi-experimental market shock to the observable environmental quality of VW diesel vehicles. To investigate the ma…
Nonparametric estimation of causal heterogeneity under high-dimensional confounding
Michael Zimmert, Michael Lechner
This paper considers the practically important case of nonparametrically estimating heterogeneous average treatment effects that vary with a limited number of discrete and continuo…
Heterogeneous Earnings Effects of the Job Corps by Gender Earnings: A Translated Quantile Approach
Anthony Strittmatter
Several studies of the Job Corps tend to nd more positive earnings effects for males than for females. This effect heterogeneity favouring males contrasts with the results of the m…
On existence and uniqueness properties for solutions of stochastic fixed point equations
Christian Beck, Lukas Gonon, Martin Hutzenthaler +1
The Feynman-Kac formula implies that every suitable classical solution of a semilinear Kolmogorov partial differential equation (PDE) is also a solution of a certain stochastic fix…
Representational Capacity of Deep Neural Networks -- A Computing Study
Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
There is some theoretical evidence that deep neural networks with multiple hidden layers have a potential for more efficient representation of multidimensional mappings than shallo…
Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning
Martin Maritsch, Caterina Bérubé, Mathias Kraus +5
The reactions of the human body to physical exercise, psychophysiological stress and heart diseases are reflected in heart rate variability (HRV). Thus, continuous monitoring of HR…
On the Semantic Interpretability of Artificial Intelligence Models
Vivian S. Silva, André Freitas, Siegfried Handschuh
Artificial Intelligence models are becoming increasingly more powerful and accurate, supporting or even replacing humans' decision making. But with increased power and accuracy als…
Singular Value Decomposition and Neural Networks
Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
Singular Value Decomposition (SVD) constitutes a bridge between the linear algebra concepts and multi-layer neural networks---it is their linear analogy. Besides of this insight, i…
Invariants and Inequivalence of Linear Rank-Metric Codes
Alessandro Neri, Sven Puchinger, Anna-Lena Horlemann-Trautmann
We show that the sequence of dimensions of the linear spaces, generated by a given rank-metric code together with itself under several applications of a field automorphism, is an i…
Differentiable reservoir computing
Lyudmila Grigoryeva, Juan-Pablo Ortega
Much effort has been devoted in the last two decades to characterize the situations in which a reservoir computing system exhibits the so-called echo state (ESP) and fading memory…