Antonia Creswell

32 papers A* 4Journal 25Unranked 3

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