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06/20/2023
Guideline for Trustworthy Artificial Intelligence – AI Assessment Catalog
Artificial Intelligence (AI) has made impressive progress in recent year...
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12/02/2022
Robustness in Fatigue Strength Estimation
Fatigue strength estimation is a costly manual material characterization...
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06/13/2022
Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs
We interpret solving the multi-vehicle routing problem as a team Markov ...
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04/29/2022
Tailored Uncertainty Estimation for Deep Learning Systems
Uncertainty estimation bears the potential to make deep learning (DL) sy...
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10/22/2021
Graph Filtration Kernels
The majority of popular graph kernels is based on the concept of Haussle...
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05/10/2021
Learning Weakly Convex Sets in Metric Spaces
We introduce the notion of weak convexity in metric spaces, a generaliza...
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01/20/2021
A Generalized Weisfeiler-Lehman Graph Kernel
The Weisfeiler-Lehman graph kernels are among the most prevalent graph k...
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01/07/2021
A Novel Regression Loss for Non-Parametric Uncertainty Optimization
Quantification of uncertainty is one of the most promising approaches to...
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12/23/2020
Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties
Quantification of uncertainty is one of the most promising approaches to...
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07/14/2020
Learning Syllogism with Euler Neural-Networks
Traditional neural networks represent everything as a vector, and are ab...
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01/13/2020
Maximal Closed Set and Half-Space Separations in Finite Closure Systems
We investigate some algorithmic properties of closed set and half-space ...
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07/09/2018
Efficient Decentralized Deep Learning by Dynamic Model Averaging
We propose an efficient protocol for decentralized training of deep neur...
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06/17/2017
Adiabatic Quantum Computing for Binary Clustering
Quantum computing for machine learning attracts increasing attention and...
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04/04/2017
