ProfessorsProfessors of University College LondonJulius Kunze

Julius Kunze

University College London

H-index: 5

Europe-United Kingdom

About Julius Kunze

Julius Kunze, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at University College London, specializes in the field of Artificial Intelligence, Probabilistic Modeling, Reinforcement Learning, Information Theory.

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

Entropy Coding of Unordered Data Structures

Phenaki: Variable length video generation from open domain textual descriptions

Adaptive Optimization with Examplewise Gradients

Julius Kunze Information

University	University College London
Position	___
Citations(all)	521
Citations(since 2020)	496
Cited By	133
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	5
i10Index(since 2020)	5
Email	Access Email
University Profile Page	University College London
Google Scholar	View Google Scholar Profile

Julius Kunze Skills & Research Interests

Artificial Intelligence

Probabilistic Modeling

Reinforcement Learning

Information Theory

Top articles of Julius Kunze

Title	Journal	Author(s)	Publication Date
Entropy Coding of Unordered Data Structures		Julius Kunze Daniel Severo Giulio Zani Jan-Willem van de Meent James Townsend	2023/10/13
Phenaki: Variable length video generation from open domain textual descriptions		Ruben Villegas Mohammad Babaeizadeh Pieter-Jan Kindermans Hernan Moraldo Han Zhang ...	2023/5/1
Adaptive Optimization with Examplewise Gradients	arXiv preprint arXiv:2112.00174	Julius Kunze James Townsend David Barber	2021/11/30