Murray Shanahan

Murray Shanahan

Imperial College London

H-index: 54

Europe-United Kingdom

About Murray Shanahan

Murray Shanahan, With an exceptional h-index of 54 and a recent h-index of 37 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Artificial intelligence, machine learning, neurodynamics, consciousness.

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

A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI

Simulacra as Conscious Exotica

Schema-learning and rebinding as mechanisms of in-context learning and emergence

Talking about large language models

The Ethics of Advanced AI Assistants

What is a Stimulus? A Computational Perspective on an Associative Learning Model

Rethink reporting of evaluation results in AI

Feature-attending recurrent modules for generalization in reinforcement learning

Murray Shanahan Information

University

Position

/ DeepMind

Citations(all)

12869

Citations(since 2020)

6231

Cited By

8965

hIndex(all)

54

hIndex(since 2020)

37

i10Index(all)

103

i10Index(since 2020)

68

Email

University Profile Page

Google Scholar

Murray Shanahan Skills & Research Interests

Artificial intelligence

machine learning

neurodynamics

consciousness

Top articles of Murray Shanahan

Title

Journal

Author(s)

Publication Date

A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI

arXiv preprint arXiv:2404.15058

Seliem El-Sayed

Canfer Akbulut

Amanda McCroskery

Geoff Keeling

Zachary Kenton

...

2024/4/23

Simulacra as Conscious Exotica

arXiv preprint arXiv:2402.12422

Murray Shanahan

2024/2/19

Schema-learning and rebinding as mechanisms of in-context learning and emergence

Advances in Neural Information Processing Systems

Sivaramakrishnan Swaminathan

Antoine Dedieu

Rajkumar Vasudeva Raju

Murray Shanahan

Miguel Lazaro-Gredilla

...

2024/2/13

Talking about large language models

Communications of the ACM

Murray Shanahan

2024/1/25

The Ethics of Advanced AI Assistants

arXiv preprint arXiv:2404.16244

Iason Gabriel

Arianna Manzini

Geoff Keeling

Lisa Anne Hendricks

Verena Rieser

...

2024/4/24

What is a Stimulus? A Computational Perspective on an Associative Learning Model

Rui P Cardoso

Niall Donnelly

Edward Keedwell

Lucy Cheke

Murray Shanahan

2023/7/24

Rethink reporting of evaluation results in AI

Science

Ryan Burnell

Wout Schellaert

John Burden

Tomer D Ullman

Fernando Martinez-Plumed

...

2023/4/14

Feature-attending recurrent modules for generalization in reinforcement learning

Transactions on Machine Learning Research

Wilka Torrico Carvalho

Andrew Kyle Lampinen

Kyriacos Nikiforou

Felix Hill

Murray Shanahan

2023/2/1

Evaluating Large Language Model Creativity from a Literary Perspective

arXiv preprint arXiv:2312.03746

Murray Shanahan

Catherine Clarke

2023/11/30

Role play with large language models

Murray Shanahan

Kyle McDonell

Laria Reynolds

2023/11/16

A predictive processing model of episodic memory and time perception

Neural Computation

Zafeirios Fountas

Anastasia Sylaidi

Kyriacos Nikiforou

Anil K Seth

Murray Shanahan

...

2022/6/16

Direct human-AI comparison in the animal-AI environment

Frontiers in Psychology

Konstantinos Voudouris

Matthew Crosby

Benjamin Beyret

José Hernández-Orallo

Murray Shanahan

...

2022/5/24

Agent, do you see it now? systematic generalisation in deep reinforcement learning

Borja G León

Murray Shanahan

Francesco Belardinelli

2022/4/23

Abstraction for deep reinforcement learning

arXiv preprint arXiv:2202.05839

Murray Shanahan

Melanie Mitchell

2022/2/10

Faithful reasoning using large language models

arXiv preprint arXiv:2208.14271

Antonia Creswell

Murray Shanahan

2022/8/30

Integrated information as a common signature of dynamical and information-processing complexity

Chaos: An Interdisciplinary Journal of Nonlinear Science

Pedro AM Mediano

Fernando E Rosas

Juan Carlos Farah

Murray Shanahan

Daniel Bor

...

2022/1/1

Sparse Relational Reasoning with Object-Centric Representations

arXiv preprint arXiv:2207.07512

Alex F Spies

Alessandra Russo

Murray Shanahan

2022/7/15

Task-driven Discovery of Perceptual Schemas for Generalization in Reinforcement Learning

Wilka Torrico Carvalho

Andrew Kyle Lampinen

Kyriacos Nikiforou

Felix Hill

Murray Shanahan

2021/12/13

Encoders and ensembles for task-free continual learning

arXiv preprint arXiv:2105.13327

Murray Shanahan

Christos Kaplanis

Jovana Mitrović

2021/5/27

Unsupervised object-based transition models for 3d partially observable environments

Advances in Neural Information Processing Systems

Antonia Creswell

Rishabh Kabra

Chris Burgess

Murray Shanahan

2021/12/6

See List of Professors in Murray Shanahan University(Imperial College London)

Co-Authors

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