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Damian Borth

German Research Centre for Artificial Intelligence
Kaiserslautern University of Technology

106

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2969

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Toward Global Estimation of Ground-Level NO<sub>2</sub> Pollution With Deep Learning and Remote Sensing

2022 IEEE Transactions on Geoscience and Remote Sensing
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An Investigation of the Weight Space to Monitor the Training Progress of Neural Networks.

2021 arXiv: Learning
- Konstantin Schürholt
- Damian Borth
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Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning

2021 arXiv: Sound
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Heterogeneous Ensemble for ESG Ratings Prediction.

2021 arXiv: Artificial Intelligence
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Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks

2021 arXiv: Learning
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Power Plant Classification from Remote Imaging with Deep Learning.

2021 arXiv: Computer Vision and Pattern Recognition
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Deep Learning für die Wirtschaftsprüfung - Eine Darstellung von Theorie, Funktionsweise und Anwendungsmöglichkeiten

2021
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Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction

2021 | Annual Conference on Neural Information Processing Systems
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Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks

2021 arXiv: Learning
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An Investigation of the Weight Space for Version Control of Neural Networks. (arXiv:2006.10424v1 [cs.LG])

2020
- Konstantin Schürholt
- Damian Borth
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