Search Results - "Wirtz, Tim"

Big Data 2.0 – mit synthetischen Daten KI-Systeme stärken by Hecker, Dirk, Voss, Angi, Paaß, Gerhard, Wirtz, Tim

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Distribution of the smallest eigenvalue in the correlated Wishart model by Wirtz, Tim, Guhr, Thomas

“…Wishart random matrix theory is of major importance for the analysis of correlated time series. The distribution of the smallest eigenvalue for Wishart…”
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Wasserstein dropout by Sicking, Joachim, Akila, Maram, Pintz, Maximilian, Wirtz, Tim, Wrobel, Stefan, Fischer, Asja

“…Despite of its importance for safe machine learning, uncertainty quantification for neural networks is far from being solved. State-of-the-art approaches to…”
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Limiting statistics of the largest and smallest eigenvalues in the correlated Wishart model by Wirtz, Tim, Kieburg, Mario, Guhr, Thomas

“…The correlated Wishart model provides a standard tool for the analysis of correlations in a rich variety of systems. Although much is known for complex…”
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The Correlated Jacobi and the Correlated Cauchy–Lorentz Ensembles by Wirtz, Tim, Waltner, Daniel, Kieburg, Mario, Kumar, Santosh

“…We calculate the k -point generating function of the correlated Jacobi ensemble using supersymmetric methods. We use the result for complex matrices for k = 1…”
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Street-Map Based Validation of Semantic Segmentation in Autonomous Driving by von Rueden, Laura, Wirtz, Tim, Hueger, Fabian, Schneider, Jan David, Piatkowski, Nico, Bauckhage, Christian

“…Artificial intelligence for autonomous driving must meet strict requirements on safety and robustness, which motivates the thorough validation of learned…”
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Worldsheet operator product expansions and p-point functions in AdS3/CFT2 by Kirsch, Ingo, Wirtz, Tim

“…We construct the operator product expansions (OPE) of the chiral primary operators in the worldsheet theory for strings on AdS 3  × S 3  × T 4 . As an…”
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Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs by Paul, Nathalie, Wirtz, Tim, Wrobel, Stefan, Kister, Alexander

“…We interpret solving the multi-vehicle routing problem as a team Markov game with partially observable costs. For a given set of customers to serve, the…”
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Supporting verification of news articles with automated search for semantically similar articles by Gupta, Vishwani, Beckh, Katharina, Giesselbach, Sven, Wegener, Dennis, Wirtz, Tim

“…Fake information poses one of the major threats for society in the 21st century. Identifying misinformation has become a key challenge due to the amount of…”
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DenseHMM: Learning Hidden Markov Models by Learning Dense Representations by Sicking, Joachim, Pintz, Maximilian, Akila, Maram, Wirtz, Tim

“…We propose DenseHMM - a modification of Hidden Markov Models (HMMs) that allows to learn dense representations of both the hidden states and the observables…”
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Tailored Uncertainty Estimation for Deep Learning Systems by Sicking, Joachim, Akila, Maram, Schneider, Jan David, Hüger, Fabian, Schlicht, Peter, Wirtz, Tim, Wrobel, Stefan

“…Uncertainty estimation bears the potential to make deep learning (DL) systems more reliable. Standard techniques for uncertainty estimation, however, come…”
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Characteristics of Monte Carlo Dropout in Wide Neural Networks by Sicking, Joachim, Akila, Maram, Wirtz, Tim, Houben, Sebastian, Fischer, Asja

“…Monte Carlo (MC) dropout is one of the state-of-the-art approaches for uncertainty estimation in neural networks (NNs). It has been interpreted as…”
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Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation by Adilova, Linara, Schulz, Elena, Akila, Maram, Houben, Sebastian, Schneider, Jan David, Huger, Fabian, Wirtz, Tim

“…Data-driven sensor interpretation in autonomous driving can lead to highly implausible predictions as can most of the time be verified with common-sense…”
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Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation by Adilova, Linara, Schulz, Elena, Akila, Maram, Houben, Sebastian, Schneider, Jan David, Hueger, Fabian, Wirtz, Tim

“…Data-driven sensor interpretation in autonomous driving can lead to highly implausible predictions as can most of the time be verified with common-sense…”
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Street-Map Based Validation of Semantic Segmentation in Autonomous Driving by von Rueden, Laura, Wirtz, Tim, Hueger, Fabian, Schneider, Jan David, Piatkowski, Nico, Bauckhage, Christian

“…Artificial intelligence for autonomous driving must meet strict requirements on safety and robustness, which motivates the thorough validation of learned…”
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Distribution of the Smallest Eigenvalue in Complex and Real Correlated Wishart Ensembles by Wirtz, Tim, Guhr, Thomas

“…J. Phys. A: Math. Theor. 47 (2014) 075004 For the correlated Gaussian Wishart ensemble we compute the distribution of the smallest eigenvalue and a related gap…”
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Approaching Neural Network Uncertainty Realism by Sicking, Joachim, Kister, Alexander, Fahrland, Matthias, Eickeler, Stefan, Hüger, Fabian, Rüping, Stefan, Schlicht, Peter, Wirtz, Tim

“…Statistical models are inherently uncertain. Quantifying or at least upper-bounding their uncertainties is vital for safety-critical systems such as autonomous…”
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A Novel Regression Loss for Non-Parametric Uncertainty Optimization by Sicking, Joachim, Akila, Maram, Pintz, Maximilian, Wirtz, Tim, Fischer, Asja, Wrobel, Stefan

“…Quantification of uncertainty is one of the most promising approaches to establish safe machine learning. Despite its importance, it is far from being…”
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Wasserstein Dropout by Sicking, Joachim, Akila, Maram, Pintz, Maximilian, Wirtz, Tim, Fischer, Asja, Wrobel, Stefan

“…Despite of its importance for safe machine learning, uncertainty quantification for neural networks is far from being solved. State-of-the-art approaches to…”
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Towards Map-Based Validation of Semantic Segmentation Masks by von Rueden, Laura, Wirtz, Tim, Hueger, Fabian, Schneider, Jan David, Bauckhage, Christian

“…Artificial intelligence for autonomous driving must meet strict requirements on safety and robustness. We propose to validate machine learning models for…”
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