Sebastian Moraga

Orcid: 0000-0001-9886-5712

According to our database1, Sebastian Moraga authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Optimal deep learning of holomorphic operators between Banach spaces.
CoRR, 2024

Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks.
CoRR, 2024

2023
Optimal approximation of infinite-dimensional holomorphic functions II: recovery from i.i.d. pointwise samples.
CoRR, 2023

Optimal approximation of infinite-dimensional holomorphic functions.
CoRR, 2023

2022
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks.
CoRR, 2022

On efficient algorithms for computing near-best polynomial approximations to high-dimensional, Hilbert-valued functions from limited samples.
CoRR, 2022

Towards optimal sampling for learning sparse approximation in high dimensions.
CoRR, 2022

2021
Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data.
Proceedings of the Mathematical and Scientific Machine Learning, 2021

Learning High-Dimensional Hilbert-Valued Functions With Deep Neural Networks From Limited Data.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021


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