Antonia Creswell

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 32

Top Topics

Object Representations

Partially Observable Environments

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

ECCV Workshops (1)

Publications

Antonia Creswell, Murray Shanahan, Irina Higgins
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning. ICLR (2023)
Antonia Creswell, Murray Shanahan, Irina Higgins
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning. CoRR (2022)
Jonathan Uesato, Nate Kushman, Ramana Kumar, H. Francis Song, Noah Y. Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving, Irina Higgins
Solving math word problems with process- and outcome-based feedback. CoRR (2022)
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory Matthewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane X. Wang, Felix Hill
Can language models learn from explanations in context? CoRR (2022)
Antonia Creswell, Murray Shanahan
Faithful Reasoning Using Large Language Models. CoRR (2022)
Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, Antonia Creswell, Dharshan Kumaran, James L. McClelland, Felix Hill
Language models show human-like content effects on reasoning. CoRR (2022)
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Mh Tessler, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill
Can language models learn from explanations in context? EMNLP (Findings) (2022)
Antonia Creswell, Rishabh Kabra, Christopher Burgess, Murray Shanahan
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments. CoRR (2021)
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matthew Botvinick, Alexander Lerchner, Christopher P. Burgess
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition. CoRR (2021)
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 Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR (2021)
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt M. Botvinick, Alexander Lerchner, Christopher P. Burgess
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition. NeurIPS (2021)
Antonia Creswell, Rishabh Kabra, Christopher P. Burgess, Murray Shanahan
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments. NeurIPS (2021)
Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Christopher Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan
AlignNet: Unsupervised Entity Alignment. CoRR (2020)
Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David G. T. Barrett, Marta Garnelo
An Explicitly Relational Neural Network Architecture. ICML (2020)
Antonia Creswell, Anil Anthony Bharath
Inverting the Generator of a Generative Adversarial Network. IEEE Trans. Neural Networks Learn. Syst. 30 (7) (2019)
Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David Barrett, Marta Garnelo
An Explicitly Relational Neural Network Architecture. CoRR (2019)
Antonia Creswell, Anil Anthony Bharath
Denoising Adversarial Autoencoders. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Cher Bass, Tianhong Dai, Benjamin Billot, Kai Arulkumaran, Antonia Creswell, Claudia Clopath, Vincenzo De Paola, Anil Anthony Bharath
Image Synthesis with a Convolutional Capsule Generative Adversarial Network. MIDL (2019)
Antonia Creswell, Anil A. Bharath
Inverting The Generator Of A Generative Adversarial Network (II). CoRR (2018)
Antonia Creswell, Alison Pouplin, Anil A. Bharath
Denoising Adversarial Autoencoders: Classifying Skin Lesions Using Limited Labelled Training Data. CoRR (2018)
Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath
Generative Adversarial Networks: An Overview. IEEE Signal Process. Mag. 35 (1) (2018)
Antonia Creswell, Alison Pouplin, Anil A. Bharath
Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data. IET Comput. Vis. 12 (8) (2018)
Antonia Creswell, Anil Anthony Bharath
Denoising Adversarial Autoencoders. CoRR (2017)
Antonia Creswell, Anil A. Bharath, Biswa Sengupta
LatentPoison - Adversarial Attacks On The Latent Space. CoRR (2017)
Antonia Creswell, Kai Arulkumaran, Anil A. Bharath
On denoising autoencoders trained to minimise binary cross-entropy. CoRR (2017)
Antonia Creswell, Anil A. Bharath, Biswa Sengupta
Conditional Autoencoders with Adversarial Information Factorization. CoRR (2017)
Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath
Generative Adversarial Networks: An Overview. CoRR (2017)
Antonia Creswell, Anil Anthony Bharath
Inverting The Generator Of A Generative Adversarial Network. CoRR (2016)
Antonia Creswell, Anil Anthony Bharath
Adversarial Training For Sketch Retrieval. CoRR (2016)
Kai Arulkumaran, Antonia Creswell, Anil Anthony Bharath
Improving Sampling from Generative Autoencoders with Markov Chains. CoRR (2016)
Antonia Creswell, Anil Anthony Bharath
Adversarial Training for Sketch Retrieval. ECCV Workshops (1) (2016)
Antonia Creswell, Anil A. Bharath
Task Specific Adversarial Cost Function. CoRR (2016)