Antonia Creswell

According to our database, Antonia Creswell authored at least 22 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Antonia Creswell, Murray Shanahan, Irina Higgins

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

Jonathan Uesato, Nate Kushman, Ramana Kumar, H. Francis Song, Noah Y. Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving, Irina Higgins

CoRR, 2022

Faithful Reasoning Using Large Language Models.

Antonia Creswell, Murray Shanahan

CoRR, 2022

Language models show human-like content effects on reasoning.

Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, Antonia Creswell, Dharshan Kumaran, James L. McClelland, Felix Hill

CoRR, 2022

Can language models learn from explanations in context?

Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

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

Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. 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 M. 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 J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving

CoRR, 2021

SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.

Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt M. Botvinick, Alexander Lerchner, Christopher P. Burgess

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Object-Based Transition Models For 3D Partially Observable Environments.

Antonia Creswell, Rishabh Kabra, Christopher P. Burgess, Murray Shanahan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

AlignNet: Unsupervised Entity Alignment.

Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan

CoRR, 2020

An Explicitly Relational Neural Network Architecture.

Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David G. T. Barrett, Marta Garnelo

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Inverting the Generator of a Generative Adversarial Network.

Antonia Creswell, Anil Anthony Bharath

IEEE Trans. Neural Networks Learn. Syst., 2019

Denoising Adversarial Autoencoders.

Antonia Creswell, Anil Anthony Bharath

IEEE Trans. Neural Networks Learn. Syst., 2019

Image Synthesis with a Convolutional Capsule Generative Adversarial Network.

Cher Bass, Tianhong Dai, Benjamin Billot, Kai Arulkumaran, Antonia Creswell, Claudia Clopath, Vincenzo De Paola, Anil Anthony Bharath

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018

Generative Adversarial Networks: An Overview.

Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath

IEEE Signal Process. Mag., 2018

Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data.

Antonia Creswell, Alison Pouplin, Anil A. Bharath

IET Comput. Vis., 2018

Inverting The Generator Of A Generative Adversarial Network (II).

Antonia Creswell, Anil A. Bharath

CoRR, 2018

2017

Conditional Autoencoders with Adversarial Information Factorization.

Antonia Creswell, Anil A. Bharath, Biswa Sengupta

CoRR, 2017

LatentPoison - Adversarial Attacks On The Latent Space.

Antonia Creswell, Anil A. Bharath, Biswa Sengupta

CoRR, 2017

On denoising autoencoders trained to minimise binary cross-entropy.

Antonia Creswell, Kai Arulkumaran, Anil A. Bharath

CoRR, 2017

2016

Task Specific Adversarial Cost Function.

Antonia Creswell, Anil A. Bharath

CoRR, 2016

Improving Sampling from Generative Autoencoders with Markov Chains.

Kai Arulkumaran, Antonia Creswell, Anil Anthony Bharath

CoRR, 2016

Adversarial Training for Sketch Retrieval.

Antonia Creswell, Anil Anthony Bharath

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016