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2020 – today

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2024
[i6]
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  - journals/corr/abs-2405-05192
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Ariel Neufeld, Philipp Schmocker, Sizhou Wu:
Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs with infinite activity. CoRR abs/2405.05192 (2024)
[i5]
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  - journals/corr/abs-2410-14759
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Ariel Neufeld, Philipp Schmocker:
Universal approximation results for neural networks with non-polynomial activation function over non-compact domains. CoRR abs/2410.14759 (2024)
[i4]
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  - journals/corr/abs-2411-03384
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Ariel Neufeld, Philipp Schmocker:
Solving stochastic partial differential equations using neural networks in the Wiener chaos expansion. CoRR abs/2411.03384 (2024)
2023
[i3]
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  - journals/corr/abs-2306-03303
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Christa Cuchiero, Philipp Schmocker, Josef Teichmann:
Global universal approximation of functional input maps on weighted spaces. CoRR abs/2306.03303 (2023)
[i2]
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  - journals/corr/abs-2312-08410
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Ariel Neufeld, Philipp Schmocker:
Universal Approximation Property of Random Neural Networks. CoRR abs/2312.08410 (2023)
2022
[i1]
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  - journals/corr/abs-2209-10166
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Ariel Neufeld, Philipp Schmocker:
Chaotic Hedging with Iterated Integrals and Neural Networks. CoRR abs/2209.10166 (2022)

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