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Andreas Joseph

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From interpretability to inference: an estimation framework for   universal approximators
A Comparative Study of Custom CNNs, Pre-trained Models, and Transfer Learning Across Multiple Visual Datasets

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From interpretability to inference: an estimation framework for universal approximators

From interpretability to inference: an estimation framework for   universal approximators
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From interpretability to inference: an estimation framework for   universal approximators

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Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach

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Two-Step Estimation of a Strategic Network Formation Model with Clustering

From interpretability to inference: an estimation framework for   universal approximators
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