Andrew Saxe

Andrew Saxe

University of Oxford

H-index: 23

Europe-United Kingdom

About Andrew Saxe

Andrew Saxe, With an exceptional h-index of 23 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Theoretical Neuroscience, Machine Learning, Psychology.

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

What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation

Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning

When Representations Align: Universality in Representation Learning Dynamics

NeuralPlayground: A Standardised Environment for Evaluating Models of Hippocampus and Entorhinal Cortex

A Theory of Unimodal Bias in Multimodal Learning

Regularised neural networks mimic human insight

Mice identify subgoal locations through an action-driven mapping process

Exact learning dynamics of deep linear networks with prior knowledge

Andrew Saxe Information

University

Position

Sir Henry Dale Fellow & Associate Professor Department of Experimental Psychology

Citations(all)

7213

Citations(since 2020)

5447

Cited By

3738

hIndex(all)

23

hIndex(since 2020)

22

i10Index(all)

39

i10Index(since 2020)

34

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Andrew Saxe Skills & Research Interests

Theoretical Neuroscience

Machine Learning

Psychology

Top articles of Andrew Saxe

Title

Journal

Author(s)

Publication Date

What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation

arXiv preprint arXiv:2404.07129

Aaditya K Singh

Ted Moskovitz

Felix Hill

Stephanie CY Chan

Andrew M Saxe

2024/4/10

Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning

arXiv preprint arXiv:2402.18361

Jin Hwa Lee

Stefano Sarao Mannelli

Andrew Saxe

2024/2/28

When Representations Align: Universality in Representation Learning Dynamics

arXiv preprint arXiv:2402.09142

Loek van Rossem

Andrew M Saxe

2024/2/14

NeuralPlayground: A Standardised Environment for Evaluating Models of Hippocampus and Entorhinal Cortex

bioRxiv

Clementine CJ Domine

Rodrigo Antonio Carrasco Davis

Luke Hollingsworth

Nikoloz Sirmpilatze

Adam L Tyson

...

2024

A Theory of Unimodal Bias in Multimodal Learning

arXiv preprint arXiv:2312.00935

Yedi Zhang

Peter E Latham

Andrew Saxe

2023/12/1

Regularised neural networks mimic human insight

arXiv preprint arXiv:2302.11351

Anika T Löwe

Léo Touzo

Paul S Muhle-Karbe

Andrew M Saxe

Christopher Summerfield

...

2023/2/22

Mice identify subgoal locations through an action-driven mapping process

Neuron

Philip Shamash

Sebastian Lee

Andrew M Saxe

Tiago Branco

2023/6/21

Exact learning dynamics of deep linear networks with prior knowledge

Journal of Statistical Mechanics: Theory and Experiment

Clémentine CJ Dominé

Lukas Braun

James E Fitzgerald

Andrew M Saxe

2023/11/15

Strategically managing learning during perceptual decision making

Elife

Javier Masís

Travis Chapman

Juliana Y Rhee

David D Cox

Andrew M Saxe

2023/2/14

The RL Perceptron: Dynamics of Policy Learning in High Dimensions

Nishil Patel

Sebastian Lee

Stefano Sarao Mannelli

Sebastian Goldt

Andrew M Saxe

2023/5/7

Meta-Learning Strategies through Value Maximization in Neural Networks

arXiv preprint arXiv:2310.19919

Rodrigo Carrasco-Davis

Javier Masís

Andrew M Saxe

2023/10/30

Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals

PLOS Computational Biology

Timo Flesch

David G Nagy

Andrew Saxe

Christopher Summerfield

2023/1/19

Neural knowledge assembly in humans and neural networks

Neuron

Stephanie Nelli

Lukas Braun

Tsvetomira Dumbalska

Andrew Saxe

Christopher Summerfield

2023/5/3

The Transient Nature of Emergent In-context Learning in Transformers

Aaditya K Singh

Stephanie CY Chan

Ted Moskovitz

Erin Grant

Andrew M Saxe

...

2023/12/13

Striatal dopamine reflects individual long-term learning trajectories

bioRxiv

Samuel Liebana Garcia

Aeron Laffere

Chiara Toschi

Louisa Schilling

Jacek Podlaski

...

2023

On The Specialization of Neural Modules

Devon Jarvis

Richard Klein

Benjamin Rosman

Andrew Saxe

2023/5/5

Organizing memories for generalization in complementary learning systems

Nature neuroscience

Weinan Sun

Madhu Advani

Nelson Spruston

Andrew Saxe

James E Fitzgerald

2023/8

Continual task learning in natural and artificial agents

Timo Flesch

Andrew Saxe

Christopher Summerfield

2023/3/1

Are task representations gated in macaque prefrontal cortex?

arXiv preprint arXiv:2306.16733

Timo Flesch

Valerio Mante

William Newsome

Andrew Saxe

Christopher Summerfield

...

2023/6/29

Probing transfer learning with a model of synthetic correlated datasets

Machine Learning: Science and Technology

Federica Gerace

Luca Saglietti

Stefano Sarao Mannelli

Andrew Saxe

Lenka Zdeborová

2022/2/23

See List of Professors in Andrew Saxe University(University of Oxford)

Co-Authors

H-index: 150
Jonathan D. Cohen

Jonathan D. Cohen

Princeton University

H-index: 144
Andrew Ng

Andrew Ng

Stanford University

H-index: 119
James L. McClelland

James L. McClelland

Stanford University

H-index: 91
Honglak Lee

Honglak Lee

University of Michigan

H-index: 62
Surya Ganguli

Surya Ganguli

Stanford University

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