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Number of items: 19.

A

Arbel, M; Gretton, AL; (2018) Kernel Conditional Exponential Family. In: Proceedings of the 21st International Conference on Artifi- cial Intelligence and Statistics (AISTATS) 2018. (pp. pp. 1337-1346). PMLR Green open access
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Arbel, M; Sutherland, DJ; Bińkowski, M; Gretton, A; (2018) On gradient regularizers for MMD GANs. In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and Cesa-Bianchi, N and Garnett, R, (eds.) Advances in Neural Information Processing Systems 31 (NIPS 2018). NIPS Proceedings: Montreal, Canada. Green open access
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Asabuki, T; Hiratani, N; Fukai, T; (2018) Interactive reservoir computing for chunking information streams. PLoS Computational Biology , 14 (10) , Article e1006400. 10.1371/journal.pcbi.1006400. Green open access
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B

Bińkowski, M; Sutherland, DJ; Arbel, M; Gretton, A; (2018) Demystifying MMD GANs. In: Bengio, Yoshua and LeCun, Yann, (eds.) Proceedings of ICLR 2018 : International Conference on Learning Representations. ICLR: Vancouver, BC, Canada,. Green open access
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Bröker, F; Marshall, L; Bestmann, S; Dayan, P; (2018) Forget-me-some: General versus special purpose models in a hierarchical probabilistic task. PLoS One , 13 (10) , Article e0205974. 10.1371/journal.pone.0205974. Green open access
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D

Duncker, L; Sahani, M; (2018) Temporal alignment and latent Gaussian process factor inference in population spike trains. In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and CesaBianchi, N and Garnett, R, (eds.) Proceedings of Conference on Neural Information Processing Systems 31 (NIPS 2018). Neural Information Processing Systems (NIPS): Montreal, Canada. Green open access
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H

Hehrmann, Phillipp; (2018) Pitch perception as probabilistic inference. Doctoral thesis (Ph.D), UCL (University College London). Green open access
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Higgins, I; Sonnerat, N; Matthey, L; Pal, A; Burgess, CP; Bošnjak, M; Shanahan, M; ... Lerchner, A; + view all (2018) SCAN: Learning Hierarchical Compositional Visual Concepts. In: Bengio, Y and LeCun, Y, (eds.) Proceedings of the Sixth International Conference on Learning Representations (ICLR 2018). International Conference on Learning Representations (ICLR): Vancouver, Canada. Green open access
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Hiratani, N; Fukai, T; (2018) Redundancy in synaptic connections enables neurons to learn optimally. Proceedings of the National Academy of Sciences , 115 (29) E6871-E6879. 10.1073/pnas.1803274115. Green open access
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J

Jitkrittum, W; Sangkloy, P; Schölkopf, B; Kanagawa, H; Hays, J; Gretton, A; (2018) Informative features for model comparison. In: Advances in Neural Information Processing Systems 31 (NIPS 2018). (pp. pp. 808-819). Neural Information Processing Systems Foundation, Inc.: Montréal, Canada. Green open access
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K

Khan, AG; Poort, J; Chadwick, A; Blot, A; Sahani, M; Mrsic-Flogel, TD; Hofer, SB; (2018) Distinct learning-induced changes in stimulus selectivity and interactions of GABAergic interneuron classes in visual cortex. Nature Neuroscience , 21 (6) pp. 851-859. 10.1038/s41593-018-0143-z. Green open access
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Korshunova, I; Degrave, J; Huszár, F; Gal, Y; Gretton, A; Dambre, J; (2018) Bruno: A deep recurrent model for exchangeable data. In: Advances in Neural Information Processing Systems 31 (NIPS 2018). (pp. pp. 7190-7198). Neural Information Processing Systems Foundation, Inc.: Montréal, Canada. Green open access
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L

Lorenz, R; Violante, IR; Monti, RP; Montana, G; Hampshire, A; Leech, R; (2018) Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization. Nature Communications , 9 (1) , Article 1227. 10.1038/s41467-018-03657-3. Green open access
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M

Meyer, AF; Poort, J; O'Keefe, J; Sahani, M; Linden, JF; (2018) A Head-Mounted Camera System Integrates Detailed Behavioral Monitoring with Multichannel Electrophysiology in Freely Moving Mice. Neuron , 100 (1) pp. 46-60. 10.1016/j.neuron.2018.09.020. Green open access
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Monti, RP; Anagnostopoulos, C; Montana, G; (2018) Adaptive regularization for Lasso models in the context of non-stationary data streams. Statistical Analysis and Data Mining , 11 (5) , Article 11390. 10.1002/sam.11390. Green open access
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Monti, RP; Hyvärinen, A; (2018) A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data. In: Proceedings of Conference on Uncertainty in Artificial Intelligence - UAI 2018. Uncertainty in Artificial Intelligence (UAI): USA. Green open access
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Monti, RP; Tootoonian, S; Cao, R; (2018) Avoiding degradation in deep feed-forward networks by phasing out skip-connections. In: Proceedings of the International Conference on Artificial Neural Networks and Machine Learning : ICANN 2018. (pp. pp. 447-456). Springer: Rhodes, Greece. Green open access
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S

Strathmann, Heiko; (2018) Kernel methods for Monte Carlo. Doctoral thesis (Ph.D), UCL (University College London). Green open access
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V

Vertes, E; Sahani, M; (2018) Flexible and accurate inference and learning for deep generative models. In: Proceedings of 32nd Conference on Neural Information Processing Systems (NeurIPS 2018),. Neural Information Processing Systems (NIPS): Montréal, Canada.. Green open access
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This list was generated on Wed Oct 13 00:40:55 2021 BST.