Jonas Wacker

Jonas Wacker

Eurecom

H-index: 5

Europe-France

About Jonas Wacker

Jonas Wacker, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Eurecom, specializes in the field of Randomized Numerical Linear Algebra, Probabilistic Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel

Random features for dot product kernels and beyond

Improved Random Features for Dot Product Kernels

Local random feature approximations of the gaussian kernel

Transfer learning for brain tumor segmentation

Kernel computations from large-scale random features obtained by optical processing units

Jonas Wacker Information

University

Position

PhD Student in Data Science

Citations(all)

94

Citations(since 2020)

85

Cited By

21

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Jonas Wacker Skills & Research Interests

Randomized Numerical Linear Algebra

Probabilistic Machine Learning

Top articles of Jonas Wacker

Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel

2023/4/11

Random features for dot product kernels and beyond

2022/7/12

Jonas Wacker
Jonas Wacker

H-Index: 3

Improved Random Features for Dot Product Kernels

arXiv preprint arXiv:2201.08712

2022/1/21

Local random feature approximations of the gaussian kernel

Procedia Computer Science

2022/1/1

Jonas Wacker
Jonas Wacker

H-Index: 3

Maurizio Filippone
Maurizio Filippone

H-Index: 20

Transfer learning for brain tumor segmentation

2021

Jonas Wacker
Jonas Wacker

H-Index: 3

Marcelo Ladeira
Marcelo Ladeira

H-Index: 12

Kernel computations from large-scale random features obtained by optical processing units

2020/5/4

See List of Professors in Jonas Wacker University(Eurecom)

Co-Authors

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