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01/25/2022
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation
Radar sensors are crucial for environment perception of driver assistanc...
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04/14/2021
End-to-end Keyword Spotting using Neural Architecture Search and Quantization
This paper introduces neural architecture search (NAS) for the automatic...
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12/18/2020
Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization
This paper introduces neural architecture search (NAS) for the automatic...
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11/25/2020
Quantized Neural Networks for Radar Interference Mitigation
Radar sensors are crucial for environment perception of driver assistanc...
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10/22/2020
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks
We present two methods to reduce the complexity of Bayesian network (BN)...
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08/21/2020
Differentiable TAN Structure Learning for Bayesian Network Classifiers
Learning the structure of Bayesian networks is a difficult combinatorial...
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07/22/2020
Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement
While machine learning techniques are traditionally resource intensive, ...
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01/07/2020
Resource-Efficient Neural Networks for Embedded Systems
While machine learning is traditionally a resource intensive task, embed...
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07/10/2019
Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version)
Models play an essential role in the design process of cyber-physical sy...
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06/12/2019
Parameterized Structured Pruning for Deep Neural Networks
As a result of the growing size of Deep Neural Networks (DNNs), the gap ...
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12/05/2018