Sebastian Moraga

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

High Dimensions

Infinite Dimensional

Top Venues

AAAI Spring Symposium: MLPS

Publications

Ben Adcock, Nick C. Dexter, Sebastian Moraga
Optimal deep learning of holomorphic operators between Banach spaces. CoRR (2024)
Ben Adcock, Simone Brugiapaglia, Nick C. Dexter, Sebastian Moraga
Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks. CoRR (2024)
Ben Adcock, Nick C. Dexter, Sebastian Moraga
Optimal approximation of infinite-dimensional holomorphic functions II: recovery from i.i.d. pointwise samples. CoRR (2023)
Ben Adcock, Nick C. Dexter, Sebastian Moraga
Optimal approximation of infinite-dimensional holomorphic functions. CoRR (2023)
Ben Adcock, Juan M. Cardenas, Nick C. Dexter, Sebastian Moraga
Towards optimal sampling for learning sparse approximation in high dimensions. CoRR (2022)
Ben Adcock, Simone Brugiapaglia, Nick C. Dexter, Sebastian Moraga
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks. CoRR (2022)
Ben Adcock, Simone Brugiapaglia, Nick C. Dexter, Sebastian Moraga
On efficient algorithms for computing near-best polynomial approximations to high-dimensional, Hilbert-valued functions from limited samples. CoRR (2022)
Ben Adcock, Simone Brugiapaglia, Nick C. Dexter, Sebastian Moraga
Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data. MSML (2021)
Ben Adcock, Simone Brugiapaglia, Nick C. Dexter, Sebastian Moraga
Learning High-Dimensional Hilbert-Valued Functions With Deep Neural Networks From Limited Data. AAAI Spring Symposium: MLPS (2021)
Ben Adcock, Simone Brugiapaglia, Nick C. Dexter, Sebastian Moraga
Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data. CoRR (2020)