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2025
[i4]
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  - journals/corr/abs-2501-15646
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Steffen Dereich, Thang Do, Arnulf Jentzen, Frederic Weber:
Mathematical analysis of the gradients in deep learning. CoRR abs/2501.15646 (2025)
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  - journals/corr/abs-2503-01660
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Thang Do, Arnulf Jentzen, Adrian Riekert:
Non-convergence to the optimal risk for Adam and stochastic gradient descent optimization in the training of deep neural networks. CoRR abs/2503.01660 (2025)
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  - journals/corr/abs-2508-17167
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Iulian Cîmpean, Thang Do, Lukas Gonon, Arnulf Jentzen, Ionel Popescu:
Error analysis for the deep Kolmogorov method. CoRR abs/2508.17167 (2025)
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  - journals/corr/abs-2511-06675
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Steffen Dereich, Thang Do, Arnulf Jentzen, Philippe von Wurstemberger:
Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer. CoRR abs/2511.06675 (2025)

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