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Alexandru Paul Condurache

University of Lübeck
Bosch

68

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527

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Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs.

2022 CoRR
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Efficient detection of adversarial, out-of-distribution and other misclassified samples

2021 Neurocomputing
- Julia Lust
- Alexandru Paul Condurache
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COPS: Controlled Pruning Before Training Starts

2021 arXiv: Learning
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Invariant Integration in Deep Convolutional Feature Space

2020 arXiv: Learning
- Matthias Rath
- Alexandru Paul Condurache
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Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey

2020 arXiv: Computer Vision and Pattern Recognition
- Matthias Rath
- Alexandru Paul Condurache
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FreezeNet: Full Performance by Reduced Storage Costs.

2020 arXiv: Learning
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A Survey on Assessing the Generalization Envelope of Deep Neural Networks at Inference Time for Image Classification.

2020 arXiv: Learning
- Julia Lust
- Alexandru Paul Condurache
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A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples

2020 arXiv: Learning
- Julia Lust
- Alexandru Paul Condurache
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FreezeNet: Full Performance by Reduced Storage Costs

2020 ACCV | Asian Conference on Computer Vision
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NoVA: Learning to See in Novel Viewpoints and Domains

2019 3DV | International Conference on 3D Vision
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