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Number of items: 26.

A

Alabdulmohsin, Ibrahim; Chiou, Nicole; D’Amour, Alexander; Gretton, Arthur; Koyejo, Sanmi; Kusner, Matt J; Pfohl, Stephen R; ... Tsai, Katherine; + view all (2023) Adapting to Latent Subgroup Shifts via Concepts and Proxies. In: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics. (pp. pp. 9637-9661). Green open access
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B

Baume, Jerome; Kanagawa, Heishiro; Gretton, Arthur; (2023) A Kernel Stein Test of Goodness of Fit for Sequential Models. In: Proceedings of the International Conference on Machine Learning. ICML Proceedings (In press). Green open access
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D

Dorrell, Will; Latham, Peter; Behrens, Timothy EJ; Whittington, James CR; (2023) Actionable Neural Representations: Grid Cells from Minimal Constraints. In: Proceedings of the Eleventh International Conference on Learning Representations. (pp. pp. 1-47). ICLR (In press). Green open access
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Dorrell, William; Yuffa, Maria; Latham, Peter; (2023) Meta-Learning the Inductive Bias of Simple Neural Circuits. In: Proceedings of the International Conference on Machine Learning. ICML Proceedings (In press). Green open access
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F

Flesch, T; Nagy, DG; Saxe, A; Summerfield, C; (2023) Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals. PLoS Computational Biology , 19 (1) , Article e1010808. 10.1371/journal.pcbi.1010808. Green open access
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Flesch, Timo; Saxe, Andrew; Summerfield, Christopher; (2023) Continual task learning in natural and artificial agents. Trends in Neurosciences 10.1016/j.tins.2022.12.006. (In press). Green open access
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G

Galgali, AR; Sahani, M; Mante, V; (2023) Residual dynamics resolves recurrent contributions to neural computation. Nature Neuroscience , 26 pp. 326-338. 10.1038/s41593-022-01230-2. Green open access
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H

Hiratani, naoki; Mehta, Yash; Lillicrap, Timothy; Latham, Peter; (2023) On the Stability and Scalability of Node Perturbation Learning. In: Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Neural Information Processing Systems (NeurIPS) (In press). Green open access
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Huang, Han; Liu, Xing; Duncan, Andrew B; Gandy, Axel; (2023) A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing. In: Causal Inference Reading Group. University of Cambridge: Cambridge, UK. Green open access
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I

International Brain Laboratory; Bonacchi, Niccolò; Chapuis, Gaelle A; Churchland, Anne K; DeWitt, Eric EJ; Faulkner, Mayo; Harris, Kenneth D; ... Wells, Miles J; + view all (2023) A modular architecture for organizing, processing and sharing neurophysiology data. Nature Methods , 20 pp. 403-407. 10.1038/s41592-022-01742-6. Green open access
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J

Jarvis, Devon; Klein, Richard; Rosman, Benjamin; Saxe, Andrew; (2023) On The Specialization of Neural Modules. In: Proceedings of the Eleventh International Conference on Learning Representations. (pp. pp. 1-31). ICLR (In press). Green open access
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K

Kanagawa, Heishiro; Jitkrittum, Wittawat; Mackey, Lester; Fukumizu, Kenji; Gretton, Arthur; (2023) A kernel Stein test for comparing latent variable models. Journal of the Royal Statistical Society: Statistical Methodology Series B , Article qkad050. 10.1093/jrsssb/qkad050. (In press). Green open access
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M

Masís, J; Chapman, T; Rhee, JY; Cox, DD; Saxe, AM; (2023) Strategically managing learning during perceptual decision making. eLife , 12 , Article e64978. 10.7554/eLife.64978. Green open access
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Mastrogiuseppe, Francesca; Hiratani, Naoki; Latham, Peter; (2023) Evolution of neural activity in circuits bridging sensory and abstract knowledge. eLife , 12 , Article e79908. 10.7554/eLife.79908. Green open access
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Moskovitz, Theodore; O'Donoghue, Brendan; Veeriah, Vivek; Flennerhag, Sebastian; Singh, Satinder; Zahavy, Tom; (2023) ReLOAD: reinforcement learning with optimistic ascent-descent for last-iterate convergence in constrained MDPs. In: Proceedings of the 40 th International Conference on Machine Learning. (pp. pp. 25303-25336). PMLR 202: Honolulu, Hawaii, USA. Green open access
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N

Nelli, Stephanie; Braun, Lukas; Dumbalska, Tsvetomira; Saxe, Andrew; Summerfield, Christopher; (2023) Neural knowledge assembly in humans and neural networks. Neuron 10.1016/j.neuron.2023.02.014. (In press). Green open access
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P

Pogodin, Roman; (2023) Deep Learning Models of Learning in the Brain. Doctoral thesis (Ph.D), UCL (University College London). Green open access
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Pogodin, Roman; Deka, Namrata; Li, Yazhe; Sutherland, Danica J; Veitch, Victor; Gretton, Arthur; (2023) Efficient Conditionally Invariant Representation Learning. In: Proceedings of the Eleventh International Conference on Learning Representations. (pp. p. 4723). International Conference on Learning Representations: Kigali, Rwanda. (In press). Green open access
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S

Schrab, Antonin; Guedj, Benjamin; Gretton, Arthur; (2023) KSD Aggregated Goodness-of-fit Test. In: Proceedings of the Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Green open access
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Schrab, Antonin; Kim, Ilmun; Albert, Mélisande; Laurent, Béatrice; Guedj, Benjamin; Gretton, Arthur; (2023) MMD Aggregated Two-Sample Test. Journal of Machine Learning Research (JMLR) , 24 , Article 194. Green open access
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Shamash, Philip; Lee, Sebastian; Saxe, Andrew M; Branco, Tiago; (2023) Mice identify subgoal locations through an action-driven mapping process. Neuron 10.1016/j.neuron.2023.03.034. (In press). Green open access
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Singh, Aaditya K; Ding, David; Saxe, Andrew; Hill, Felix; Lampinen, Andrew Kyle; (2023) Know your audience: specializing grounded language models with listener subtraction. In: EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. (pp. pp. 3884-3911). Association for Computational Linguistics: Dubrovnik, Croatia. Green open access
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Sun, Weinan; Advani, Madhu; Spruston, Nelson; Saxe, Andrew; Fitzgerald, James E; (2023) Organizing memories for generalization in complementary learning systems. Nature Neuroscience 10.1038/s41593-023-01382-9. (In press). Green open access
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W

Walker, william; Soulat, hugo; Yu, changmin; Sahani, Maneesh; (2023) Unsupervised representation learning with recognition-parametrised probabilistic models. In: Proceedings of the 26th International Conference on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research: Valencia, Spain Proceedings of Machine Learning Research. (In press). Green open access
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X

Xu, Liyuan; Gretton, Arthur; (2023) A Neural Mean Embedding Approach for Back-door and Front-door Adjustment. In: Proceedings of the Eleventh International Conference on Learning Representations. (pp. p. 2756). International Conference on Learning Representations: Kigali, Rwanda. (In press). Green open access
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Z

Zhou, Liang; Smith, Kevin A; Tenenbaum, Joshua B; Gerstenberg, Tobias; (2023) Mental jenga: A counterfactual simulation model of causal judgments about physical support. Journal of Experimental Psychology: General 10.1037/xge0001392. (In press).

This list was generated on Mon Sep 18 03:02:23 2023 BST.