Sebastian Moraga Scheuermann

Orcid: 0000-0001-9886-5712

According to our database1, Sebastian Moraga Scheuermann authored at least 9 papers between 2021 and 2025.

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

Timeline

2021
2022
2023
2024
2025
0
1
2
3
1
1
2
2
1
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks.
Neural Networks, 2025

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

Optimal deep learning of holomorphic operators between Banach spaces.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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
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


  Loading...