Yarin Gal

Yarin Gal

University of Oxford

H-index: 55

Europe-United Kingdom

About Yarin Gal

Yarin Gal, With an exceptional h-index of 55 and a recent h-index of 55 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Machine Learning, Artificial Intelligence, Probability Theory, Statistics.

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

Machine learning for functional protein design

Explaining Explainability: Understanding Concept Activation Vectors

Physically Motivated Deep Learning to Superresolve and Cross Calibrate Solar Magnetograms

Bayesian preference elicitation with language models

ProteinNPT: improving protein property prediction and design with non-parametric transformers

In-Context Learning Learns Label Relationships but Is Not Conventional Learning

Deep Deterministic Uncertainty: A New Simple Baseline

DyNeMoC: A semi-supervised architecture for classifying time series brain data

Yarin Gal Information

University

Position

Associate Professor

Citations(all)

34473

Citations(since 2020)

31791

Cited By

11950

hIndex(all)

55

hIndex(since 2020)

55

i10Index(all)

138

i10Index(since 2020)

135

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Yarin Gal Skills & Research Interests

Machine Learning

Artificial Intelligence

Probability Theory

Statistics

Top articles of Yarin Gal

Title

Journal

Author(s)

Publication Date

Machine learning for functional protein design

Pascal Notin

Nathan Rollins

Yarin Gal

Chris Sander

Debora Marks

2024/2

Explaining Explainability: Understanding Concept Activation Vectors

arXiv preprint arXiv:2404.03713

Angus Nicolson

Lisa Schut

J Alison Noble

Yarin Gal

2024/4/4

Physically Motivated Deep Learning to Superresolve and Cross Calibrate Solar Magnetograms

The Astrophysical Journal Supplement Series

Andrés Muñoz-Jaramillo

Anna Jungbluth

Xavier Gitiaux

Paul J Wright

Carl Shneider

...

2024/3/26

Bayesian preference elicitation with language models

arXiv preprint arXiv:2403.05534

Kunal Handa

Yarin Gal

Ellie Pavlick

Noah Goodman

Jacob Andreas

...

2024/3/8

ProteinNPT: improving protein property prediction and design with non-parametric transformers

Advances in Neural Information Processing Systems

Pascal Notin

Ruben Weitzman

Debora Marks

Yarin Gal

2024/2/13

In-Context Learning Learns Label Relationships but Is Not Conventional Learning

Jannik Kossen

Yarin Gal

Tom Rainforth

2023

Deep Deterministic Uncertainty: A New Simple Baseline

Jishnu Mukhoti

Andreas Kirsch

Joost van Amersfoort

Philip HS Torr

Yarin Gal

2023

DyNeMoC: A semi-supervised architecture for classifying time series brain data

Abu Mohammad Shabbir Khan

Chetan Gohil

Pascal Notin

Joost van Amersfoort

Mark Woolrich

...

2023/4/22

Model Dementia: Generated Data Makes Models Forget

arXiv e-prints

Ilia Shumailov

Zakhar Shumaylov

Yiren Zhao

Yarin Gal

Nicolas Papernot

...

2023/5

Precipitation-Triggered Landslide Prediction in Nepal Using Machine Learning and Deep Learning

Kelsey Doerksen

Yarin Gal

Freddie Kalaitzis

Cristian Rossi

David Petit

...

2023/7/16

LLM Censorship: The Problem and its Limitations

David Glukhov

Ilia Shumailov

Yarin Gal

Nicolas Papernot

Vardan Papyan

2023/10/13

Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency losses and its effect on building delineation

ISPRS Journal of Photogrammetry and Remote Sensing

Muhammed T Razzak

Gonzalo Mateo-García

Gurvan Lecuyer

Luis Gómez-Chova

Yarin Gal

...

2023/1/1

ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design

Advances in Neural Information Processing Systems

Pascal Notin

Aaron Kollasch

Daniel Ritter

Lood Van Niekerk

Steffanie Paul

...

2024/2/13

Global Geomagnetic Perturbation Forecasting Using Deep Learning

Banafsheh Ferdousi

Vishal Upendran

Panagiotis Tigas

Téo Bloch

Mark Cheung

...

2023/2/22

The curse of recursion: training on generated data makes models forget. Arxiv

arXiv preprint arXiv:2305.17493

Ilia Shumailov

Zakhar Shumaylov

Yiren Zhao

Yarin Gal

Nicolas Papernot

...

2023/5/27

DiscoBAX Discovery of optimal intervention sets in genomic experiment design

Clare Lyle

Arash Mehrjou

Pascal Notin

Andrew Jesson

Stefan Bauer

...

2023/7/3

How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

arXiv preprint arXiv:2309.15840

Lorenzo Pacchiardi

Alex J Chan

Sören Mindermann

Ilan Moscovitz

Alexa Y Pan

...

2023/9/26

Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements

arXiv preprint arXiv:2311.00444

Peter A Zachares

Vahan Hovhannisyan

Alan Mosca

Yarin Gal

2023/11/1

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

arXiv preprint arXiv:2302.09664

Lorenz Kuhn

Yarin Gal

Sebastian Farquhar

2023/2/19

Prediction-Oriented Bayesian Active Learning

Freddie Bickford Smith

Andreas Kirsch

Sebastian Farquhar

Yarin Gal

Adam Foster

...

2023/4/11

See List of Professors in Yarin Gal University(University of Oxford)

Co-Authors

H-index: 124
Zoubin Ghahramani

Zoubin Ghahramani

University of Cambridge

H-index: 95
Roberto Cipolla

Roberto Cipolla

University of Cambridge

H-index: 81
Yee Whye Teh

Yee Whye Teh

University of Oxford

H-index: 75
Marta Kwiatkowska

Marta Kwiatkowska

University of Oxford

H-index: 24
Mark van der Wilk

Mark van der Wilk

Imperial College London

H-index: 21
Alex Kendall

Alex Kendall

University of Cambridge

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