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Author

Philipp Schmocker

Observed names: Philipp Tom Schmocker, Schmocker, Philipp
Observed institutions: Nanyang Technological University, LMU Klinikum, ETH Zurich, Vector Institute, Ludwig-Maximilians-Universität München, McMaster University
ORCID: 0009-0009-8732-6268
Observed ORCID: 0009-0009-8732-6268
OpenAlex ID: A5024298114
Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs
2024 · Ariel Neufeld, Philipp Schmocker, et al. · Communications in Nonlinear Science and Numerical Simulation · 7
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Chaotic Hedging with Iterated Integrals and Neural Networks
2022 · Neufeld, Ariel, Schmocker, Philipp · RePEc: Research Papers in Economics · 5
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Universal approximation results for neural networks with non-polynomial activation function over non-compact domains
2025 · Ariel Neufeld, Philipp Schmocker · Analysis and Applications · 4
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Universal approximation property of Banach space-valued random feature models including random neural networks
2023 · Neufeld, Ariel, Schmocker, Philipp · arXiv (Cornell University) · 3
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Global universal approximation of functional input maps on weighted spaces
2023 · Cuchiero, Christa, Schmocker, Philipp, et al. · RePEc: Research Papers in Economics · 1
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Deep Stochastic Portfolio Theory
2019 · Christa Cuchiero, Philipp Schmocker, et al. · Alexandria (UniSG) (University of St.Gallen) · 1
Harmonic analysis and circuit approximation of Sobolev functions on quantum input spaces
2026 · Schmocker, Philipp · arXiv (Cornell University)
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Multilevel Picard approximations for McKean-Vlasov stochastic differential equations with jumps
2026 · Neufeld, Ariel, Nguyen, Tuan Anh, et al. · arXiv (Cornell University)
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Neural operators approximate strongly continuous convex monotone semigroups
2026 · Blessing, Jonas, Schmocker, Philipp, et al. · arXiv (Cornell University)
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NeuralChaos: Optimal Adapted Approximation of Square Integrable Predictable Processes
2026 · Kratsios, Anastasis, Livieri, Giulia, et al. · arXiv (Cornell University)
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Multilevel Picard approximations for McKean–Vlasov stochastic differential equations with nonconstant diffusion
2026 · Ariel Neufeld, Tuan Anh Nguyen, et al. · IMA Journal of Numerical Analysis
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Weighted universal approximation of differentiable maps on infinite-dimensional manifolds
2026 · Schmocker, Philipp, Teichmann, Josef · arXiv (Cornell University)
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Approximation rates of quantum neural networks for periodic functions via Jackson's inequality
2025 · Neufeld, Ariel, Schmocker, Philipp, et al. · arXiv (Cornell University)
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Neural Operators Which Certifiably Simultaneously Solve Infinitely Many Convex Programs using Logarithmic Rank and Linear Complexity
2025 · Kratsios, Anastasis, Neufeld, Ariel, et al. · arXiv (Cornell University)
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Random neural networks and Wiener chaos expansion: learning the solution of PDEs and SPDEs in mathematical finance
2025 · Philipp Tom Schmocker
Solving stochastic partial differential equations using neural networks in the Wiener chaos expansion
2024 · Neufeld, Ariel, Schmocker, Philipp · arXiv (Cornell University)
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Works count: 17
Citation count: 21
H-index: 3
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