Kanagawa, H., Jitkrittum, W., Mackey, L., Fukumizu, K., Gretton, A. (2023). A kernel Stein test for comparing latent variable models.Journal of the Royal Statistical Society: Statistical Methodology Series B, doi:10.1093/jrsssb/qkad050
Schrab, A., Kim, I., Albert, M., Laurent, B., Guedj, B., Gretton, A. (2023). MMD Aggregated Two-Sample Test.The Journal of Machine Learning Research (JMLR), 24
Fischer, P., Piña-Fuentes, D., Kassavetis, P., Sadnicka, A. (2023). Physiology of dystonia: Human studies. In International Review of Neurobiology. (pp. 137-162). .
Sadnicka, A., Meppelink, A.-.M., Kalinowski, A., Oakeshott, P., van den Dool, J. (2022). Dystonia.BMJ-BRITISH MEDICAL JOURNAL, 377 doi:10.1136/bmj-2020-062659
Dorrell, W., Pirie, H., Gardezi, S.M., Drucker, N.C., Hoffman, J.E. (2020). van der Waals metamaterials.PHYSICAL REVIEW B, 101 (12), doi:10.1103/PhysRevB.101.121103
2019
Richards, B.A., Lillicrap, T.P., Beaudoin, P., Bengio, Y., Bogacz, R., Christensen, A., ...Ganguli, S. (2019). A deep learning framework for neuroscience..Nat Neurosci, 22 (11), 1761-1770. doi:10.1038/s41593-019-0520-2
Richards, B.A., Lillicrap, T.P., Beaudoin, P., Bengio, Y., Bogacz, R., Christensen, A., ...Ganguli, S. (2019). A deep learning framework for neuroscience..Nat Neurosci, 22 (11), 1761-1770. doi:10.1038/s41593-019-0520-2
Saxe, A.M., Bansal, Y., Dapello, J., Advani, M., Kolchinsky, A., Tracey, B.D., Cox, D.D. (2019). On the information bottleneck theory of deep learning.Journal of Statistical Mechanics: Theory and Experiment, 124020. doi:10.1088/1742-5468/ab3985
Adorisio, M., Pezzotta, A., de Mulatier, C., Micheletti, C., Celani, A. (2018). Exact and Efficient Sampling of Conditioned Walks.JOURNAL OF STATISTICAL PHYSICS, 170 (1), 79-100. doi:10.1007/s10955-017-1911-y
Orbanz, P., Teh, Y.W. (2017). Bayesian Nonparametric Models. In Encyclopedia of Machine Learning and Data Mining. (pp. 107-116). Springer US.
Bang, D., Aitchison, L., Moran, R., Herce Castanon, S., Rafiee, B., Mahmoodi, A., ...Summerfield, C. (2017). Confidence matching in group decision-making.Nature Human Behaviour, 1 (6), 0117. doi:10.1038/s41562-017-0117
Navajas, J., Hindocha, C., Foda, H., Keramati, M., Latham, P.E., Bahrami, B. (2017). The idiosyncratic nature of confidence.Nature Human Behaviour, doi:10.1038/s41562-017-0215-1
Sadnicka, A., Edwards, M.J., Bhatia, K.P. (2016). Dystonia. In Challenging Concepts in Neurology Cases with Expert Commentary. Oxford University Press.
Muandet, K., Sriperumbudur, B., Fukumizu, K., Gretton, A., Schoelkopf, B. (2016). Kernel Mean Shrinkage Estimators.Journal of Machine Learning Research, 17 1-41.
Sadnicka, A., Kassavetis, P., Parees, I., Meppelink, A.M., Butler, K., Edwards, M. (2016). Task-specific dystonia: pathophysiology and management.JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 87 (9), 968-974. doi:10.1136/jnnp-2015-311298
Pareés, I., Kojovic, M., Pires, C., Rubio-Agusti, I., Saifee, T.A., Sadnicka, A., ...Edwards, M.J. (2014). Physical precipitating factors in functional movement disorders.Journal of the Neurological Sciences, 338 (1-2), 174-177. doi:10.1016/j.jns.2013.12.046
Gallistel, C.R., Krishan, M., Liu, Y., Miller, R., Latham, P.E. (2014). The perception of probability..PSYCHOLOGICAL REVIEW, 121 (1), 96-123. doi:10.1037/a0035232
Sahani, M., Williamson, R.S., Ahrens, M.B., Linden, J.F. (2013). Probabilistic methods for linear and multilinear models.. In Depireux, D.A., Elhilali, M. (Eds.), Handbook of Modern Techniques in Auditory Cortex. (pp. 193-222). Nova Science Pub Incorporated.
Grünewälder, S., Gretton, A., Shawe-Taylor, J. (2013). Smooth operators.30th International Conference on Machine Learning, ICML 2013, (PART 3), 2221-2229.
Gretton, A., Borgwardt, K., Rasch, M., Schoelkopf, B., Smola, A. (2012). A Kernel Two-Sample Test.JMLR, 13 723-773.
Kassavetis, P., Saifee, T.A., Sadnicka, A., Pareés, I., Kojovic, M., Rothwell, J.C., Edwards, M.J. (2012). Adaptation of surround inhibition in the human motor system..EXPERIMENTAL BRAIN RESEARCH, 222 (3), 211-217. doi:10.1007/s00221-012-3207-4
Hamada, M., Strigaro, G., Murase, N., Sadnicka, A., Galea, J.M., Edwards, M.J., Rothwell, J.C. (2012). Cerebellar modulation of human associative plasticity..JOURNAL OF PHYSIOLOGY-LONDON, 590 (10), 2365-2374. doi:10.1113/jphysiol.2012.230540
Grünewälder, S., Lever, G., Baldassarre, L., Patterson, S., Gretton, A., Pontil, M. (2012). Conditional mean embeddings as regressors.Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 2 1823-1830.
Pareés, I., Kassavetis, P., Saifee, T.A., Sadnicka, A., Bhatia, K.P., Fotopoulou, A., Edwards, M.J. (2012). 'Jumping to conclusions' bias in functional movement disorders..JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 83 (4), 460-463. doi:10.1136/jnnp-2011-300982
Kojovic, M., Pareés, I., Sadnicka, A., Kassavetis, P., Rubio-Agusti, I., Saifee, T.A., ...Bhatia, K.P. (2012). The brighter side of music in dystonia..ARCHIVES OF NEUROLOGY, 69 (7), 917-919. doi:10.1001/archneurol.2012.33
Sadnicka, A., Hoffland, B.S., Bhatia, K.P., van de Warrenburg, B.P., Edwards, M.J. (2012). The cerebellum in dystonia - help or hindrance?.CLINICAL NEUROPHYSIOLOGY, 123 (1), 65-70. doi:10.1016/j.clinph.2011.04.027
Turner, R.E., Sahani, M. (2011). Demodulation as Probabilistic Inference.IEEE Transactions on Audio, Speech and Language Processing, 19 (8), 2398-2411. doi:10.1109/TASL.2011.2135852
Jacobs, A.L., Fridman, G., Douglas, R.M., Alam, N.M., Latham, P.E., Prusky, G.T., Nirenberg, S. (2009). Ruling out and ruling in neural codes.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 106 (14), 5936-5941. doi:10.1073/pnas.0900573106
Gretton, A., Fukumizu, K., Teo, C.H., Song, L., Schoelkopf, B., Smola, A. (2008). A Kernel Statistical Test of Independence. In Platt, J.C., Koller, D., Singer, Y., Roweis, S. (Eds.), Advances in Neural Information Processing Systems 20. Cambridge, MA: MIT Press.
Song, L., Smola, A., Borgwardt, K., Gretton, A. (2008). Colored Maximum Variance Unfolding. In Platt, J.C., Koller, D., Singer, Y., Roweis, S. (Eds.), Advances in Neural Information Processing Systems 20. Cambridge, MA: MIT Press.
Gretton, A., Borgwardt, K., Rasch, M., Schoelkopf, B., Smola, A. (2007). A Kernel Approach to Comparing Distributions. In Holte, R., Howe, A. (Eds.), Proceedings of the 22nd AAAI Conference on Artificial Intelligence. (p. 1637-1641). AAAI Press.
Gretton, A., Borgwardt, K., Rasch, M., Schoelkopf, B., Smola, A. (2007). A Kernel Method for the Two-Sample-Problem. In Schoelkopf, B., Platt, J., Hoffman, T. (Eds.), Advances in Neural Information Processing Systems 19. (pp. 513-520). Cambridge, MA: MIT Press.
Huang, J., Smola, A., Gretton, A., Borgwardt, K., Schoelkopf, B. (2007). Correcting Sample Selection Bias by Unlabeled Data. In Schoelkopf, B., Platt, J., Hoffman, T. (Eds.), Advances in Neural Information Processing Systems 19. (pp. 601-608). Cambridge, MA: MIT Press.
Latham, P., Pouget, A. (2006). Computing with population codes. In Doya, K., Ishii, S., Pouget, A., Rao, R. (Eds.), Bayesian Brain. Csmbridge: MIT Press.
Sahani, M., Linden, J.F. (2003). How linear are auditory cortical responses?. In Becker, S., Thrun, S., Obermayer, K. (Eds.), Advances in Neural Information Processing Systems. (pp. 301-308). Cambridge, MA, USA: MIT Press.
Park, G., Granatstein, V., Latham, P., Armstrong, C., Ganguly, A., Park, S. (1991). Phase stability of gyroklystron amplifier.IEEE Transactions on Plasma Science, 19 632-640.
Jitkrittum, W., Szabo, Z., Chwialkowski, K., Gretton, A. (1900). Distinguishing distributions with interpretable features. Presented at: International Conference on Machine Learning (ICML): Data-Efficient Machine Learning workshop New York, USA.
Jitkrittum, W., Gretton, A.L., Heess, N., Eslami, S.M.A., Lakshminarayanan, B., Sejdinovic, D., Szabó, Z. (1900). Kernel-Based Just-In-Time Learning For Passing Expectation Propagation Messages. Presented at: International Conference on Machine Learning (ICML) - Large-Scale Kernel Learning: Challenges and New Opportunities workshop Lille, France.