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Antonia Creswell
Antonia Creswell
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Title
Cited by
Cited by
Year
Generative adversarial networks: An overview
A Creswell, T White, V Dumoulin, K Arulkumaran, B Sengupta, ...
IEEE signal processing magazine 35 (1), 53-65, 2018
43652018
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
10582021
Inverting the generator of a generative adversarial network
A Creswell, AA Bharath
IEEE transactions on neural networks and learning systems 30 (7), 1967-1974, 2018
4032018
Selection-inference: Exploiting large language models for interpretable logical reasoning
A Creswell, M Shanahan, I Higgins
arXiv preprint arXiv:2205.09712, 2022
3102022
Can language models learn from explanations in context?
AK Lampinen, I Dasgupta, SCY Chan, K Matthewson, MH Tessler, ...
arXiv preprint arXiv:2204.02329, 2022
2592022
Language models show human-like content effects on reasoning
I Dasgupta, AK Lampinen, SCY Chan, A Creswell, D Kumaran, ...
arXiv preprint arXiv:2207.07051 2 (3), 2022
1672022
Denoising adversarial autoencoders
A Creswell, AA Bharath
IEEE transactions on neural networks and learning systems 30 (4), 968-984, 2018
1672018
Solving math word problems with process-and outcome-based feedback
J Uesato, N Kushman, R Kumar, F Song, N Siegel, L Wang, A Creswell, ...
arXiv preprint arXiv:2211.14275, 2022
1512022
Faithful reasoning using large language models
A Creswell, M Shanahan
arXiv preprint arXiv:2208.14271, 2022
1232022
On denoising autoencoders trained to minimise binary cross-entropy
A Creswell, K Arulkumaran, AA Bharath
arXiv preprint arXiv:1708.08487, 2017
1072017
Cyprien de Masson d’Autume
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
1002021
An explicitly relational neural network architecture
M Shanahan, K Nikiforou, A Creswell, C Kaplanis, D Barrett, M Garnelo
International Conference on Machine Learning, 8593-8603, 2020
782020
Simone: View-invariant, temporally-abstracted object representations via unsupervised video decomposition
R Kabra, D Zoran, G Erdogan, L Matthey, A Creswell, M Botvinick, ...
Advances in Neural Information Processing Systems 34, 20146-20159, 2021
762021
Adversarial training for sketch retrieval
A Creswell, AA Bharath
European Conference on Computer Vision, 798-809, 2016
732016
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
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, HF Song, J Aslanides, ...
Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac …, 2021
692021
Adversarial information factorization
A Creswell, Y Mohamied, B Sengupta, AA Bharath
arXiv preprint arXiv:1711.05175, 2017
522017
Image synthesis with a convolutional capsule generative adversarial network
C Bass, T Dai, B Billot, K Arulkumaran, A Creswell, C Clopath, V De Paola, ...
312019
Unsupervised object-based transition models for 3d partially observable environments
A Creswell, R Kabra, C Burgess, M Shanahan
Advances in neural information processing systems 34, 27344-27355, 2021
252021
Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data
A Creswell, A Pouplin, AA Bharath
IET Computer Vision 12 (8), 1105-1111, 2018
212018
Improving sampling from generative autoencoders with markov chains
A Creswell, K Arulkumaran, AA Bharath
arXiv preprint arXiv:1610.09296, 2016
21*2016
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