Alert button
Picture for Irina Higgins

Irina Higgins

Alert button

Solving math word problems with process- and outcome-based feedback

Nov 25, 2022
Jonathan Uesato, Nate Kushman, Ramana Kumar, Francis Song, Noah Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving, Irina Higgins

Figure 1 for Solving math word problems with process- and outcome-based feedback
Figure 2 for Solving math word problems with process- and outcome-based feedback
Figure 3 for Solving math word problems with process- and outcome-based feedback
Figure 4 for Solving math word problems with process- and outcome-based feedback
Viaarxiv icon

Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

May 19, 2022
Antonia Creswell, Murray Shanahan, Irina Higgins

Figure 1 for Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Figure 2 for Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Figure 3 for Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Figure 4 for Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Viaarxiv icon

Symmetry-Based Representations for Artificial and Biological General Intelligence

Mar 17, 2022
Irina Higgins, Sébastien Racanière, Danilo Rezende

Figure 1 for Symmetry-Based Representations for Artificial and Biological General Intelligence
Figure 2 for Symmetry-Based Representations for Artificial and Biological General Intelligence
Figure 3 for Symmetry-Based Representations for Artificial and Biological General Intelligence
Figure 4 for Symmetry-Based Representations for Artificial and Biological General Intelligence
Viaarxiv icon

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Dec 08, 2021
Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew Johnson, Blake Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Ed Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving

Figure 1 for Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Figure 2 for Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Figure 3 for Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Figure 4 for Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Viaarxiv icon

SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision

Nov 10, 2021
Irina Higgins, Peter Wirnsberger, Andrew Jaegle, Aleksandar Botev

Figure 1 for SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
Figure 2 for SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
Figure 3 for SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
Figure 4 for SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
Viaarxiv icon

Which priors matter? Benchmarking models for learning latent dynamics

Nov 09, 2021
Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins

Figure 1 for Which priors matter? Benchmarking models for learning latent dynamics
Figure 2 for Which priors matter? Benchmarking models for learning latent dynamics
Figure 3 for Which priors matter? Benchmarking models for learning latent dynamics
Viaarxiv icon

Representation Matters: Improving Perception and Exploration for Robotics

Nov 03, 2020
Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin Riedmiller

Figure 1 for Representation Matters: Improving Perception and Exploration for Robotics
Figure 2 for Representation Matters: Improving Perception and Exploration for Robotics
Figure 3 for Representation Matters: Improving Perception and Exploration for Robotics
Figure 4 for Representation Matters: Improving Perception and Exploration for Robotics
Viaarxiv icon

Representation learning for improved interpretability and classification accuracy of clinical factors from EEG

Oct 30, 2020
Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Pramod Gupta, Julia Klawohn, Greg Hajcak

Figure 1 for Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Figure 2 for Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Figure 3 for Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Figure 4 for Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Viaarxiv icon

Disentangling by Subspace Diffusion

Jun 23, 2020
David Pfau, Irina Higgins, Aleksandar Botev, Sébastien Racanière

Figure 1 for Disentangling by Subspace Diffusion
Figure 2 for Disentangling by Subspace Diffusion
Figure 3 for Disentangling by Subspace Diffusion
Figure 4 for Disentangling by Subspace Diffusion
Viaarxiv icon

Disentangled Cumulants Help Successor Representations Transfer to New Tasks

Nov 25, 2019
Christopher Grimm, Irina Higgins, Andre Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh

Figure 1 for Disentangled Cumulants Help Successor Representations Transfer to New Tasks
Figure 2 for Disentangled Cumulants Help Successor Representations Transfer to New Tasks
Figure 3 for Disentangled Cumulants Help Successor Representations Transfer to New Tasks
Figure 4 for Disentangled Cumulants Help Successor Representations Transfer to New Tasks
Viaarxiv icon