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Number of items: 42.
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).
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B
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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).
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Biggs, Felix;
Schrab, antonin;
Gretton, Arthur;
(2023)
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting.
In:
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
(pp. pp. 1-38).
NeurIPS
(In press).
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D
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Domine, Clementine C;
Braun, Lukas;
Fitzgerald, James E;
Saxe, Andrew M;
(2023)
Exact learning dynamics of deep linear networks with prior knowledge.
Journal of Statistical Mechanics: Theory and Experiment
, 2023
(11)
, Article ARTN 114004. 10.1088/1742-5468/ad01b8.
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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).
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Dorrell, William;
Hsu, Kyle;
Whittington, James;
Wu, Jiajun;
Finn, Chelsea;
(2023)
Disentanglement via Latent Quantization.
In:
Proceedings - Advances in Neural Information Processing Systems 37 (NeurIPS 2023).
NeurIPS: New Orleans, USA.
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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).
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F
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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.
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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).
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G
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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.
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Glaser, P;
Widmann, D;
Lindsten, F;
Gretton, A;
(2023)
Fast and Scalable Score-Based Kernel Calibration Tests.
In:
Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence.
(pp. pp. 691-700).
PMLR: Pittsburgh, PA, USA.
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Gunderson, lee M;
Bravo-Hermsdorff, Gecia;
Orbanz, Peter;
(2023)
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models.
In:
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
(pp. pp. 1-11).
NeurIPS
(In press).
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H
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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).
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Huang, Kevin Han;
Liu, Xing;
Duncan, Andrew B;
Gandy, Axel;
(2023)
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing.
In: Neu, Gergely and Rosasco, Lorenzo, (eds.)
Proceedings of Thirty Sixth Conference on Learning Theory.
(pp. pp. 3827-3918).
Proceedings of Machine Learning Research (PMLR): Bangalore, India.
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I
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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.
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J
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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).
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K
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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).
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M
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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.
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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.
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Moskovitz, T;
Kao, C;
Sahani, M;
Botvinick, MM;
(2023)
Minimum Description Length Control.
In:
11th International Conference on Learning Representations, ICLR 2023.
(pp. pp. 1-31).
ICLR (International Conference on Learning Representations)
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Moskovitz, Ted;
Hromadka, Samo;
Touati, Ahmed;
Borsa, Diana;
Sahani, Maneesh;
(2023)
A State Representation for Diminishing Rewards.
In:
Proceedings of the Thirty-seventh Annual Conference on Neural Information Processing Systems.
(pp. pp. 1-38).
NeurIPS: San Diego, CA, USA.
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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.
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N
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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).
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P
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Pehlevan, Cengiz;
Erdogan, Alper T;
Bozkurt, Bariscan;
(2023)
Correlative Information Maximization: A Biologically
Plausible Approach to Supervised Deep Neural
Networks without Weight Symmetry.
In:
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
(pp. pp. 1-37).
NeurIPS
(In press).
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Pezzotta, Alberto;
Briscoe, James;
(2023)
Optimal control of gene regulatory networks for morphogen-driven tissue patterning.
Cell Systems
, 14
(11)
940-952.e11.
10.1016/j.cels.2023.10.004.
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Pogodin, Roman;
(2023)
Deep Learning Models of Learning in the Brain.
Doctoral thesis (Ph.D), UCL (University College London).
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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).
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S
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Sadnicka, Anna;
Edwards, Mark John;
(2023)
Between Nothing and Everything: Phenomenology in Movement Disorders.
Movement Disorders
10.1002/mds.29584.
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Sadnicka, Anna;
Latorre, Anna;
(2023)
A Caudal Twist in the Tale: The Spinal Cord and Dystonia.
Movement Disorders
, 38
(11)
pp. 1992-1993.
10.1002/mds.29635.
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Sadnicka, Anna;
Wiestler, Tobias;
Butler, Katherine;
Altenmuller, Eckart;
Edwards, Mark J;
Ejaz, Naveed;
Diedrichsen, Jörn;
(2023)
Intact finger representation within primary sensorimotor cortex of musician’s dystonia.
Brain
, 146
(4)
pp. 1511-1522.
10.1093/brain/awac356.
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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
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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.
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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).
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Silva Simões, Lucas;
(2023)
Normative studies of single-event memories and multitask decision-making.
Doctoral thesis (Ph.D), UCL (University College London).
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Singh, aaditya;
Chan, Stephanie CY;
Moskovitz, Ted;
Grant, erin;
Saxe, Andrew;
Hill, Felix;
(2023)
The Transient Nature of Emergent In-context Learning in Transformers.
In:
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
NeurIPS
(In press).
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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.
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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).
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W
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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).
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X
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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).
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Y
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Yu, Changmin;
Burgess, neil;
Sahani, Maneesh;
Gershman, Samuel J;
(2023)
Successor-Predecessor Intrinsic Exploration.
OpenReview.net: Amherst, MA, United States.
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Yu, Changmin;
Burgess, Neil;
Sahani, Maneesh;
Gershman, Samuel J;
(2023)
Successor-Predecessor Intrinsic Exploration.
In: Oh, A and Neumann, T and Globerson, A and Saenko, K and Hardt, M and Levine, S, (eds.)
Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
(pp. pp. 1-18).
NeurIPS
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Z
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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
, 152
(8)
pp. 2237-2269.
10.1037/xge0001392.
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