b'GMX'

research

∙ 02/26/2019

SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation

State-of-the-art scene flow algorithms pursue the conflicting targets of...

René Schuster, et al. ∙

research

∙ 12/04/2015

Predicting and visualizing psychological attributions with a deep neural network

Judgments about personality based on facial appearance are strong effect...

Edward Grant, et al. ∙

research

∙ 08/07/2013

A Note on Topology Preservation in Classification, and the Construction of a Universal Neuron Grid

It will be shown that according to theorems of K. Menger, every neuron g...

Dietmar Volz, et al. ∙

research

∙ 01/19/2017

Fisher consistency for prior probability shift

We introduce Fisher consistency in the sense of unbiasedness as a desira...

Dirk Tasche, et al. ∙

research

∙ 08/19/2015

Drawing and Analyzing Causal DAGs with DAGitty

DAGitty is a software for drawing and analyzing causal diagrams, also kn...

Johannes Textor, et al. ∙

research

∙ 08/02/2015

Learning from Pairwise Marginal Independencies

We consider graphs that represent pairwise marginal independencies among...

Johannes Textor, et al. ∙

research

∙ 12/08/2016

AGA: Attribute Guided Augmentation

We consider the problem of data augmentation, i.e., generating artificia...

Mandar Dixit, et al. ∙

research

∙ 02/28/2016

Does quantification without adjustments work?

Classification is the task of predicting the class labels of objects bas...

Dirk Tasche, et al. ∙

research

∙ 06/23/2014

Exact fit of simple finite mixture models

How to forecast next year's portfolio-wide credit default rate based on ...

Dirk Tasche, et al. ∙

research

∙ 12/02/2013

The Law of Total Odds

The law of total probability may be deployed in binary classification ex...

Dirk Tasche, et al. ∙

research

∙ 06/29/2010

Polyharmonic Daubechies type wavelets in Image Processing and Astronomy, II

We consider the application of the polyharmonic subdivision wavelets (of...

Ognyan Kounchev, et al. ∙

research

∙ 06/15/2017

German in Flux: Detecting Metaphoric Change via Word Entropy

This paper explores the information-theoretic measure entropy to detect ...

Dominik Schlechtweg, et al. ∙

research

∙ 03/08/2004

Demolishing Searle's Chinese Room

Searle's Chinese Room argument is refuted by showing that he has actuall...

Wolfram Schmied, et al. ∙

research

∙ 01/13/2018

Feature Space Transfer for Data Augmentation

The problem of data augmentation in feature space is considered. A new a...

Bo Liu, et al. ∙

research

∙ 01/31/2018

The entropy of a thermodynamic graph

We introduce an algorithmic model of heat conduction, the thermodynamic ...

O. Kurganskyy, et al. ∙

research

∙ 02/10/2018

Network Flow-Based Refinement for Multilevel Hypergraph Partitioning

We present a refinement framework for multilevel hypergraph partitioning...

Tobias Heuer, et al. ∙

research

∙ 02/14/2018

A Security Credential Management System for V2X Communications

The US Department of Transportation (USDOT) issued a proposed rule on Ja...

Benedikt Brecht, et al. ∙

research

∙ 04/09/2018

A plug-in approach to maximising precision at the top and recall at the top

For information retrieval and binary classification, we show that precis...

Dirk Tasche, et al. ∙

research

∙ 04/14/2018

Distribution-based Prediction of the Degree of Grammaticalization for German Prepositions

We test the hypothesis that the degree of grammaticalization of German p...

Dominik Schlechtweg, et al. ∙

research

∙ 06/28/2018

Automatic Exploration of Machine Learning Experiments on OpenML

Understanding the influence of hyperparameters on the performance of a m...

Daniel Kuhn, et al. ∙

research

∙ 08/26/2018

Hypercoercivity of Piecewise Deterministic Markov Process-Monte Carlo

In this paper we derive spectral gap estimates for several Piecewise Det...

Christophe Andrieu, et al. ∙

research

∙ 09/11/2018

Mitigating Confirmation Bias on Twitter by Recommending Opposing Views

In this work, we propose a content-based recommendation approach to incr...

Elisabeth Lex, et al. ∙

research

∙ 12/04/2018

Self-Guided Belief Propagation -- A Homotopy Continuation Method

We propose self-guided belief propagation (SBP) that modifies belief pro...

Christian Knoll, et al. ∙

research

∙ 12/19/2018

Fundamental limits on the capacities of bipartite quantum interactions

Bipartite quantum interactions have applications in a number of differen...

Stefan Bäuml, et al. ∙

research

∙ 06/04/2019

Localization in Aerial Imagery with Grid Maps using LocGAN

In this work, we present LocGAN, our localization approach based on a ge...

Haohao Hu, et al. ∙

research

∙ 06/04/2019

A Multi-Pass GAN for Fluid Flow Super-Resolution

We propose a novel method to up-sample volumetric functions with generat...

Maximilian Werhahn, et al. ∙

research

∙ 06/07/2019

Assessing incrementality in sequence-to-sequence models

Since their inception, encoder-decoder models have successfully been app...

Dennis Ulmer, et al. ∙

research

∙ 06/10/2019

Confidence intervals for class prevalences under prior probability shift

Point estimation of class prevalences in the presence of data set shift ...

Dirk Tasche, et al. ∙

research

∙ 06/13/2019

Jacobian Policy Optimizations

Recently, natural policy gradient algorithms gained widespread recogniti...

Arip Asadulaev, et al. ∙

research

∙ 04/24/2019

On Negatively Dependent Sampling Schemes, Variance Reduction, and Probabilistic Upper Discrepancy Bounds

We study some notions of negative dependence of a sampling scheme that c...

Michael Gnewuch, et al. ∙

research

∙ 08/23/2019

Mixed Linear Layouts: Complexity, Heuristics, and Experiments

A k-page linear graph layout of a graph G = (V,E) draws all vertices alo...

Philipp de Col, et al. ∙

research

∙ 12/09/2019

Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings

We consider the initial situation where a dataset has been over-partitio...

Christian Reiser, et al. ∙

research

∙ 03/12/2020

Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information

Recently, with the availability of cost-effective depth cameras coupled ...

Zhize Wu, et al. ∙

research

∙ 03/30/2020

Thermophysical modelling and parameter estimation of small solar system bodies via data assimilation

Deriving thermophysical properties such as thermal inertia from thermal ...

M. Hamm, et al. ∙

research

∙ 04/07/2020

Finding polynomial roots by dynamical systems – a case study

We investigate two well known dynamical systems that are designed to fin...

Sergey Shemyakov, et al. ∙

research

∙ 04/09/2020

The Weierstrass root finder is not generally convergent

Finding roots of univariate polynomials is one of the fundamental tasks ...

Bernhard Reinke, et al. ∙

research

∙ 04/13/2020

Cores over Ramsey structures

It has been conjectured that the class of first-order reducts of finitel...

Antoine Mottet, et al. ∙

research

∙ 04/23/2020

Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model

Research on computational argumentation is currently being intensively i...

Stefan Ollinger, et al. ∙

research

∙ 05/07/2020

Proving prediction prudence

We study how to perform tests on samples of pairs of observations and pr...

Dirk Tasche, et al. ∙

research

∙ 06/13/2020

ω-categorical structures avoiding height 1 identities

The algebraic dichotomy conjecture for Constraint Satisfaction Problems ...

Manuel Bodirsky, et al. ∙

research

∙ 06/21/2020

On the Relationship between Treatment Effect Heterogeneity and the Variability Ratio Effect Size Statistic

Recently, the variability ratio (VR) effect size statistic has been used...

Alexander Volkmann, et al. ∙

research

∙ 07/13/2020

The Distribution Function of the Longest Head Run

In this paper, the open problem of finding a closed analytical expressio...

Dennis Koh, et al. ∙

research

∙ 08/06/2020

Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion

Modern Reinforcement Learning (RL) algorithms promise to solve difficult...

Roland Hafner, et al. ∙

research

∙ 11/19/2020

Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality

The COVID-19 related lockdown measures offer a unique opportunity to und...

Johanna Einsiedler, et al. ∙

research

∙ 05/21/2021

Finding all minimum cost flows and a faster algorithm for the K best flow problem

This paper addresses the problem of determining all optimal integer solu...

David Könen, et al. ∙

research

∙ 06/23/2021

Threaded Code Generation with a Meta-tracing JIT Compiler

Language implementation frameworks, e.g., RPython and Truffle/Graal, are...

Yusuke Izawa, et al. ∙

research

∙ 07/06/2021

Elliptic polytopes and invariant norms of linear operators

We address the problem of constructing elliptic polytopes in R^d, which ...

Thomas Mejstrik, et al. ∙

research

∙ 06/24/2021

Evaluation of Representation Models for Text Classification with AutoML Tools

Automated Machine Learning (AutoML) has gained increasing success on tab...

Sebastian Brändle, et al. ∙

research

∙ 07/16/2021

How Vulnerable Are Automatic Fake News Detection Methods to Adversarial Attacks?

As the spread of false information on the internet has increased dramati...

Camille Koenders, et al. ∙

research

∙ 07/17/2021

Minimising quantifier variance under prior probability shift

For the binary prevalence quantification problem under prior probability...

Dirk Tasche, et al. ∙

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