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07/13/2023
Layerwise Linear Mode Connectivity
In the federated setup one performs an aggregation of separate local mod...
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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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03/01/2023
Information Plane Analysis for Dropout Neural Networks
The information-theoretic framework promises to explain the predictive p...
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04/19/2021
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation
Data-driven sensor interpretation in autonomous driving can lead to high...
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09/25/2020
Resource-Constrained On-Device Learning by Dynamic Averaging
The communication between data-generating devices is partially responsib...
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01/03/2020
Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks
The performance of deep neural networks is often attributed to their aut...
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11/29/2019
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks
The performance of deep neural networks is often attributed to their aut...
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11/15/2019
Information-Theoretic Perspective of Federated Learning
An approach to distributed machine learning is to train models on local ...
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07/01/2019
System Misuse Detection via Informed Behavior Clustering and Modeling
One of the main tasks of cybersecurity is recognizing malicious interact...
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09/27/2018
Introducing Noise in Decentralized Training of Neural Networks
It has been shown that injecting noise into the neural network weights d...
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07/12/2018
Making Efficient Use of a Domain Expert's Time in Relation Extraction
Scarcity of labeled data is one of the most frequent problems faced in m...
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07/09/2018