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Number of items: 35.

A

Adam, V; Hensman, J; Sahani, M; (2016) Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference. In: Proceedings of MLSP2016. IEEE Green open access
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Aitchison, L; Corradi, N; Latham, PE; (2016) Zipf's Law Arises Naturally When There Are Underlying, Unobserved Variables. PLoS Comput Biol , 12 (12) , Article e1005110. 10.1371/journal.pcbi.1005110. Green open access
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Aitchison, L; Lengyel, M; (2016) The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics. PLOS Computational Biology , 12 (12) , Article e1005186. 10.1371/journal.pcbi.1005186. Green open access
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B

Bohner, G; Sahani, M; (2016) Convolutional higher order matching pursuit. In: Proceedings of MLSP2016. IEEE Green open access
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C

Chung, AW; Pesce, E; Monti, RP; Montana, G; (2016) Classifying HCP task-fMRI networks using heat kernels. In: Proceedings of the 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE: Trento, Italy. Gold open access
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Chwialkowski, K; Strathmann, H; Gretton, A; (2016) A Kernel Test of Goodness of Fit. In: ICML ’16: Proceedings of the 32nd International Conference on Machine Learning. (pp. pp. 2606-2615). JMLR: Workshop and Conference Proceedings Green open access
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E

Elliott, LT; (2016) Bayesian nonparametric models of genetic variation. Doctoral thesis , UCL (University College London). Green open access
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F

Fernandez Aguilar, T; Rivera, N; Teh, YW; (2016) Gaussian processes for survival analysis. In: (Proceedings) Advances in Neural Information Processing Systems 29 (NIPS 2016). NIPS Proceedings Green open access
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Ferrè, ER; Sahani, M; Haggard, P; (2016) Subliminal stimulation and somatosensory signal detection. Acta Psychologica , 170 pp. 103-111. 10.1016/j.actpsy.2016.06.009. Green open access
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H

Hiratani, N; Fukai, T; (2016) Hebbian Wiring Plasticity Generates Efficient Network Structures for Robust Inference with Synaptic Weight Plasticity. Frontiers in Neural Circuits , 10 p. 41. 10.3389/fncir.2016.00041. Green open access
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J

Jitkrittum, W; Szabo, Z; Chwialkowski, K; Gretton, A; (2016) Distinguishing distributions with interpretable features. In: ICML 2016 Workshop on Data-Efficient Machine Learning. : New York, USA. Green open access
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Jitkrittum, W; Szabo, Z; Chwialkowski, K; Gretton, A; (2016) Distinguishing distributions with interpretable features. Presented at: International Conference on Machine Learning (ICML): Data-Efficient Machine Learning workshop, New York, USA. Green open access
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Jitkrittum, W; Szabo, Z; Chwialkowski, K; Gretton, A; (2016) Distinguishing distributions with interpretable features. Presented at: International Conference on Machine Learning (ICML): Data-Efficient Machine Learning workshop, New York, USA. Green open access
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L

Lakshminarayanan, B; (2016) Decision trees and forests: a probabilistic perspective. Doctoral thesis , UCL (University College London). Green open access
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Lorenz, R; Monti, RP; Hampshire, A; Koush, Y; Anagnostopoulos, C; Faisal, AA; Sharp, D; ... Violante, IR; + view all (2016) Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization. In: Proceedings of the 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE: Trento, Italy. Green open access
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Lorenz, R; Monti, RP; Violante, IR; Anagnostopoulos, C; Faisal, AA; Montana, G; Leech, R; (2016) The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI. NeuroImage , 129 pp. 320-334. 10.1016/j.neuroimage.2016.01.032. Green open access
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M

Monti, R; Lorenz, R; Leech, R; Anagnostopoulos, C; Montana, G; (2016) Text-mining the neurosynth corpus using deep boltzmann machines. In: Proceedings of the 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI) 2016. IEEE: Trento, Italy. Green open access
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Muandet, K; Sriperumbudur, B; Fukumizu, K; Gretton, A; Schölkopf, B; (2016) Kernel Mean Shrinkage Estimators. Journal of Machine Learning Research , 17 , Article 48. Green open access
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N

Navajas, J; Bahrami, B; Latham, PE; (2016) Post-decisional accounts of biases in confidence. Current Opinion in Behavioral Sciences , 11 pp. 55-60. 10.1016/j.cobeha.2016.05.005. Green open access
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R

Rubenstein, PK; Chwialkowski, KP; Gretton, A; (2016) A Kernel Test for Three-Variable Interactions with Random Processes. In: UAI ’16: Proceedings of the 32nd International Conference on Uncertainty in Artificial Intelligence. (pp. pp. 637-646). AUAI Press Green open access
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S

Sahani, M; Bohner, G; Meyer, A; (2016) Score-matching estimators for continuous-time point-process regression models. In: Proceedings of MLSP2016. IEEE Green open access
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Sriperumbudur, B; Szabo, Z; (2016) Optimal Uniform and Lp Rates for Random Fourier Features. Presented at: Theory of Big Data Workshop, London, United Kingdom. Green open access
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Strathmann, H; Sejdinovic, D; Livingston, S; Schuster, I; Lomeli Garcia, M; Szabo, Z; Andrieu, C; (2016) Kernel techniques for adaptive Monte Carlo methods. Presented at: Greek Stochastics Workshop on Big Data and Big Models, Tinos, Greek. Green open access
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Stringer, C; Pachitariu, M; Steinmetz, NA; Okun, M; Bartho, P; Harris, KD; Sahani, M; (2016) Inhibitory control of correlated intrinsic variability in cortical networks. Elife , 5 , Article e19695. 10.7554/eLife.19695. Green open access
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Szabo, Z; (2016) Hypothesis Testing with Kernels. Presented at: International Workshop on Pattern Recognition in Neuroimaging (PRNI), Trento, Italy. Green open access
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Szabo, Z; (2016) Kernel-based learning on probability distributions. Presented at: UNSPECIFIED, San Diego, California, USA. Green open access
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Szabo, Z; (2016) Learning from Features of Sets and Probabilities. Presented at: Talk at Imperial College London, Department of Computing, London, United Kingdom. Green open access
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Szabo, Z; (2016) Optimal Rates for the Random Fourier Feature Technique. Presented at: invited talk at École Polytechnique, Palaiseau, France. Green open access
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Szabo, Z; (2016) Performance guarantees for kernel-based learning on probability distributions. Presented at: Talk at Special Symposium on Intelligent Systems, MPI Tübingen, Germany. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2016) Distribution Regression with Minimax-Optimal Guarantee. Presented at: MASCOT-NUM 2016, Toulouse, France. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2016) Optimal Regression on Sets. Presented at: eResearch Domain launch event, London, United Kingdom. Green open access
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W

Wager, TD; Atlas, LY; Botvinick, MM; Chang, LJ; Coghill, RC; Davis, KD; Iannetti, GD; ... Yarkoni, T; + view all (2016) Pain in the ACC? Proceedings of The National Academy of Sciences of The United States of America (PNAS) , 113 (18) E2474-E2475. 10.1073/pnas.1600282113. Green open access
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Weichwald, S; Gretton, A; Schölkopf, B; Grosse-Wentrup, M; (2016) Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data. In: PRNI 2016: 6th International Workshop on Pattern Recognition in Neuroimaging. Institute of Electrical and Electronic Engineers (IEEE) Green open access
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Weichwald, S; Grosse-Wentrup, M; Gretton, A; (2016) MERLiN: Mixture Effect Recovery in Linear Networks. IEEE Journal of Selected Topics in Signal Processing , 10 (7) pp. 1254-1266. 10.1109/JSTSP.2016.2601144. Green open access
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Williamson, RS; Ahrens, MB; Linden, JF; Sahani, M; (2016) Input-Specific Gain Modulation by Local Sensory Context Shapes Cortical and Thalamic Responses to Complex Sounds. Neuron , 91 (2) pp. 467-481. 10.1016/j.neuron.2016.05.041. Green open access
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This list was generated on Wed Oct 13 00:40:55 2021 BST.