David Barber

David Barber

University College London

H-index: 39

Europe-United Kingdom

About David Barber

David Barber, With an exceptional h-index of 39 and a recent h-index of 28 (since 2020), a distinguished researcher at University College London, specializes in the field of Machine Learning.

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

CenTime: Event-conditional modelling of censoring in survival analysis

Latent Attention for Linear Time Transformers

Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-tuning

Moment matching denoising gibbs sampling

Active Preference Learning for Large Language Models

Mortality surrogates in combined pulmonary fibrosis and emphysema

Diffusive Gibbs Sampling

Smoothed Q-learning

David Barber Information

University

Position

Department of Computer Science

Citations(all)

9721

Citations(since 2020)

5237

Cited By

6256

hIndex(all)

39

hIndex(since 2020)

28

i10Index(all)

82

i10Index(since 2020)

50

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

David Barber Skills & Research Interests

Machine Learning

Top articles of David Barber

Title

Journal

Author(s)

Publication Date

CenTime: Event-conditional modelling of censoring in survival analysis

Medical Image Analysis

Ahmed H Shahin

An Zhao

Alexander C Whitehead

Daniel C Alexander

Joseph Jacob

...

2024/1/1

Latent Attention for Linear Time Transformers

arXiv preprint arXiv:2402.17512

Rares Dolga

Marius Cobzarenco

David Barber

2024/2/27

Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-tuning

arXiv preprint arXiv:2402.12177

Mingtian Zhang

Shawn Lan

Peter Hayes

David Barber

2024/2/19

Moment matching denoising gibbs sampling

Advances in Neural Information Processing Systems

Mingtian Zhang

Alex Hawkins-Hooker

Brooks Paige

David Barber

2024/2/13

Active Preference Learning for Large Language Models

arXiv preprint arXiv:2402.08114

William Muldrew

Peter Hayes

Mingtian Zhang

David Barber

2024/2/12

Mortality surrogates in combined pulmonary fibrosis and emphysema

European Respiratory Journal

An Zhao

Eyjolfur Gudmundsson

Nesrin Mogulkoc

Coline van Moorsel

Tamera J Corte

...

2024/4/1

Diffusive Gibbs Sampling

arXiv preprint arXiv:2402.03008

Wenlin Chen

Mingtian Zhang

Brooks Paige

José Miguel Hernández-Lobato

David Barber

2024/2/5

Smoothed Q-learning

arXiv preprint arXiv:2303.08631

David Barber

2023/3/15

Neural Network Based Methods for the Survival Analysis of Idiopathic Pulmonary Fibrosis Patients from a Baseline CT Acquisition

AC Whitehead

AH Shahin

A Zhao

DC Alexander

J Jacob

...

2023/12/13

A Note on Double Descent

David Barber

2023/11/24

A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study

Heliyon

Yaozhi Lu

Shahab Aslani

An Zhao

Ahmed Shahin

David Barber

...

2023/8/1

Generalized Multiple Intent Conditioned Slot Filling

arXiv preprint arXiv:2305.11023

Harshil Shah

Arthur Wilcke

Marius Cobzarenco

Cristi Cobzarenco

Edward Challis

...

2023/5/18

Improving vae-based representation learning

arXiv preprint arXiv:2205.14539

Mingtian Zhang

Tim Z Xiao

Brooks Paige

David Barber

2022/5/28

Generalization gap in amortized inference

Advances in Neural Information Processing Systems, 2022

Mingtian Zhang

Peter Hayes

David Barber

2022/5/23

Survival analysis for idiopathic pulmonary fibrosis using ct images and incomplete clinical data

arXiv preprint arXiv:2203.11391

Ahmed H Shahin

Joseph Jacob

Daniel C Alexander

David Barber

2022/3/21

Parallel neural local lossless compression

arXiv preprint arXiv:2201.05213

Mingtian Zhang

James Townsend

Ning Kang

David Barber

2022/1/13

Prognostic imaging biomarker discovery in survival analysis for idiopathic pulmonary fibrosis

An Zhao

Ahmed H Shahin

Yukun Zhou

Eyjolfur Gudmundsson

Adam Szmul

...

2022/9/17

Towards healing the blindness of score matching

arXiv preprint arXiv:2209.07396

Mingtian Zhang

Oscar Key

Peter Hayes

David Barber

Brooks Paige

...

2022/9/15

Integrated weak learning

arXiv preprint arXiv:2206.09496

Peter Hayes

Mingtian Zhang

Raza Habib

Jordan Burgess

Emine Yilmaz

...

2022/6/19

Towards AI Standards Whitepaper: Thought-leadership in AI legal, ethical and safety specifications through experimentation

Rosaline Polle

Emre Kazim

Graca Carvalho

Adriano Koshiyama

Catherine Inness

...

2021/11/11

See List of Professors in David Barber University(University College London)

Co-Authors

H-index: 46
Hilbert Johan Kappen

Hilbert Johan Kappen

Radboud Universiteit

H-index: 20
Jean-Pascal Pfister

Jean-Pascal Pfister

Universität Zürich

H-index: 7
Mingtian Zhang

Mingtian Zhang

University College London

H-index: 7
James Townsend

James Townsend

University College London

H-index: 7
Thomas Bird

Thomas Bird

University College London

H-index: 5
Julius Kunze

Julius Kunze

University College London

academic-engine