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Antonia Creswell
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2020 – today
- 2023
- [c7]Antonia Creswell, Murray Shanahan, Irina Higgins:
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning. ICLR 2023 - 2022
- [c6]Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill:
Can language models learn from explanations in context? EMNLP (Findings) 2022: 537-563 - [i21]Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane X. Wang, Felix Hill:
Can language models learn from explanations in context? CoRR abs/2204.02329 (2022) - [i20]Antonia Creswell, Murray Shanahan, Irina Higgins:
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning. CoRR abs/2205.09712 (2022) - [i19]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 abs/2207.07051 (2022) - [i18]Antonia Creswell, Murray Shanahan:
Faithful Reasoning Using Large Language Models. CoRR abs/2208.14271 (2022) - [i17]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 abs/2211.14275 (2022) - 2021
- [c5]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: 20146-20159 - [c4]Antonia Creswell, Rishabh Kabra, Christopher P. Burgess, Murray Shanahan:
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments. NeurIPS 2021: 27344-27355 - [i16]Antonia Creswell, Rishabh Kabra, Chris Burgess, Murray Shanahan:
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments. CoRR abs/2103.04693 (2021) - [i15]Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matthew M. Botvinick, Alexander Lerchner, Christopher P. Burgess:
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition. CoRR abs/2106.03849 (2021) - [i14]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:
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR abs/2112.11446 (2021) - 2020
- [c3]Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David G. T. Barrett, Marta Garnelo:
An Explicitly Relational Neural Network Architecture. ICML 2020: 8593-8603 - [i13]Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan:
AlignNet: Unsupervised Entity Alignment. CoRR abs/2007.08973 (2020)
2010 – 2019
- 2019
- [j4]Antonia Creswell
, Anil Anthony Bharath
Denoising Adversarial Autoencoders. IEEE Trans. Neural Networks Learn. Syst. 30(4): 968-984 (2019) - [j3]Antonia Creswell
Inverting the Generator of a Generative Adversarial Network. IEEE Trans. Neural Networks Learn. Syst. 30(7): 1967-1974 (2019) - [c2]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: 39-62 - [i12]Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David Barrett, Marta Garnelo:
An Explicitly Relational Neural Network Architecture. CoRR abs/1905.10307 (2019) - 2018
- [j2]Antonia Creswell, Alison Pouplin, Anil A. Bharath:
Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data. IET Comput. Vis. 12(8): 1105-1111 (2018) - [j1]Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran
Generative Adversarial Networks: An Overview. IEEE Signal Process. Mag. 35(1): 53-65 (2018) - [i11]Antonia Creswell, Alison Pouplin, Anil A. Bharath:
Denoising Adversarial Autoencoders: Classifying Skin Lesions Using Limited Labelled Training Data. CoRR abs/1801.00693 (2018) - [i10]Antonia Creswell, Anil A. Bharath:
Inverting The Generator Of A Generative Adversarial Network (II). CoRR abs/1802.05701 (2018) - 2017
- [i9]Antonia Creswell, Anil Anthony Bharath:
Denoising Adversarial Autoencoders. CoRR abs/1703.01220 (2017) - [i8]Antonia Creswell, Kai Arulkumaran, Anil A. Bharath:
On denoising autoencoders trained to minimise binary cross-entropy. CoRR abs/1708.08487 (2017) - [i7]Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath:
Generative Adversarial Networks: An Overview. CoRR abs/1710.07035 (2017) - [i6]Antonia Creswell, Anil A. Bharath, Biswa Sengupta:
LatentPoison - Adversarial Attacks On The Latent Space. CoRR abs/1711.02879 (2017) - [i5]Antonia Creswell, Anil A. Bharath, Biswa Sengupta:
Conditional Autoencoders with Adversarial Information Factorization. CoRR abs/1711.05175 (2017) - 2016
- [c1]Antonia Creswell, Anil Anthony Bharath:
Adversarial Training for Sketch Retrieval. ECCV Workshops (1) 2016: 798-809 - [i4]Antonia Creswell, Anil Anthony Bharath:
Adversarial Training For Sketch Retrieval. CoRR abs/1607.02748 (2016) - [i3]Antonia Creswell, Anil A. Bharath:
Task Specific Adversarial Cost Function. CoRR abs/1609.08661 (2016) - [i2]Kai Arulkumaran, Antonia Creswell, Anil Anthony Bharath:
Improving Sampling from Generative Autoencoders with Markov Chains. CoRR abs/1610.09296 (2016) - [i1]Antonia Creswell, Anil Anthony Bharath:
Inverting The Generator Of A Generative Adversarial Network. CoRR abs/1611.05644 (2016)
Coauthor Index
aka: Anil Anthony Bharath
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