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Ulme Wennberg

About Ulme Wennberg

Ulme Wennberg, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Natural Language Processing, Machine Learning, Artificial Intelligence.

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

Exploring Internal Numeracy in Language Models: A Case Study on ALBERT

Wavebender GAN: An architecture for phonetically meaningful speech manipulation

The case for translation-invariant self-attention in transformer-based language models

Ulme Wennberg Information

University

Position

PhD Student in Machine Learning & WASP AI

Citations(all)

620

Citations(since 2020)

620

Cited By

99

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Ulme Wennberg Skills & Research Interests

Natural Language Processing

Machine Learning

Artificial Intelligence

Top articles of Ulme Wennberg

Exploring Internal Numeracy in Language Models: A Case Study on ALBERT

arXiv preprint arXiv:2404.16574

2024/4/25

Ulme Wennberg
Ulme Wennberg

H-Index: 3

Gustav Eje Henter
Gustav Eje Henter

H-Index: 15

Wavebender GAN: An architecture for phonetically meaningful speech manipulation

2022/5/23

Ulme Wennberg
Ulme Wennberg

H-Index: 3

Zofia Malisz
Zofia Malisz

H-Index: 10

Gustav Eje Henter
Gustav Eje Henter

H-Index: 15

The case for translation-invariant self-attention in transformer-based language models

arXiv preprint arXiv:2106.01950

2021/6/3

Ulme Wennberg
Ulme Wennberg

H-Index: 3

Gustav Eje Henter
Gustav Eje Henter

H-Index: 15

See List of Professors in Ulme Wennberg University(Kungliga Tekniska högskolan)

Co-Authors

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