Irina Higgins

Staff Research Scientist, DeepMind

Joined

November 2016

Names

Irina Higgins (Preferred)

Emails

****@google.com (Confirmed)

****@psy.ox.ac.uk (Confirmed)

****@deepmind.com (Confirmed)

Personal Links

Career & Education History

Staff Research Scientist

DeepMind (google.com)

2020 – Present

Senior Research Scientist

DeepMind (google.com)

2016 – 2020

Research Scientist

DeepMind (google.com)

2015 – 2016

PhD student

University of Oxford (oxford.ac.uk)

2010 – 2015

Undergrad student

Westminster University (westminster.ac.uk)

2006 – 2010

Advisors, Relations & Conflicts

Family

Victor Spirin

Present

PhD Advisor

Simon Stringer

2010 – 2015

PhD Advisor

Jan Schnupp

2010 – 2015

Expertise

No areas of expertise listed

Publications

Solving Math Word Problems with Process-based and Outcome-based Feedback
Jonathan Uesato, Nate Kushman, Ramana Kumar, H. Francis Song, Noah Yamamoto Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving, Irina Higgins
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell, Murray Shanahan, Irina Higgins
- Published: 01 Feb 2023, Last Modified: 01 Mar 2023
- ICLR 2023 notable top 5%
- Readers: Everyone
Which priors matter? Benchmarking models for learning latent dynamics
Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins
- Published: 29 Jul 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Datasets and Benchmarks Track (Round 1)
- Readers: Everyone
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
Irina Higgins, Peter Wirnsberger, Andrew Jaegle, Aleksandar Botev
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Equivariant hamiltonian flows
Sebastien Racaniere, Danilo Jimenez Rezende, Irina Higgins, Peter Toth
- 12 May 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Sunny Duan, Pramod Gupta, Julia Klawohn, Greg Hajcak
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Representation Matters: Improving Perception and Exploration for Robotics
Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller
- 2020 (modified: 15 Sept 2021)
- CoRR 2020
- Readers: Everyone
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Pramod Gupta, Julia Klawohn, Greg Hajcak
- 2020 (modified: 15 Sept 2021)
- CoRR 2020
- Readers: Everyone
A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning.
Sunny Duan, Nicholas Watters, Loic Matthey, Christopher P. Burgess, Alexander Lerchner, Irina Higgins
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess, Loïc Matthey, Nicholas Watters, Rishabh Kabra, Irina Higgins, Matthew Botvinick, Alexander Lerchner
- 2019 (modified: 14 May 2025)
- CoRR 2019
- Readers: Everyone

View all 15 publications

Co-Authors

View all 56 co-authors