Skip to content

Irina Higgins

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

8

Venues

3

Active years

2017–2023

Best venue rank

A*

Where they publish

Papers

8 indexed papers, newest first.

YearVenueTitleAuthors
2023ICLRSelection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning.Antonia Creswell, Murray Shanahan, Irina Higgins
2021ICLRRepresentation 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
2021ICRARepresentation 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
2020ICLRUnsupervised Model Selection for Variational Disentangled Representation Learning.Sunny Duan, Loic Matthey, Andre Saraiva, Nick Watters, Chris Burgess, Alexander Lerchner, Irina Higgins
2020ICLRHamiltonian Generative Networks.Peter Toth, Danilo J. Rezende, Andrew Jaegle, Sbastien Racanire, Aleksandar Botev, Irina Higgins
2018ICLRSCAN: Learning Hierarchical Compositional Visual Concepts.Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P. Burgess, Matko Bosnjak, Murray Shanahan, Matthew M. Botvinick, Demis Hassabis, Alexander Lerchner
2017ICLRbeta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework.Irina Higgins, Loc Matthey, Arka Pal, Christopher P. Burgess, Xavier Glorot, Matthew M. Botvinick, Shakir Mohamed, Alexander Lerchner
2017ICMLDARLA: Improving Zero-Shot Transfer in Reinforcement Learning.Irina Higgins, Arka Pal, Andrei A. Rusu, Loc Matthey, Christopher P. Burgess, Alexander Pritzel, Matthew M. Botvinick, Charles Blundell, Alexander Lerchner