CUED Publications database

Items where Division is "Div F > Computational and Biological Learning" and Year is 2014

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Number of items: 82.

A

Acerbi, L and Vijayakumar, S and Wolpert, DM (2014) On the Origins of Suboptimality in Human Probabilistic Inference. PLoS Computational Biology, 10. e1003661-. ISSN 1553-734X

B

Bargi, A and Da Xu, RY and Ghahramani, Z and Piccardi, M (2014) A non-parametric conditional factor regression model for multi-dimensional input and response. In: UNSPECIFIED pp. 77-85..

Berniker, M and Franklin, DW and Flanagan, JR and Wolpert, DM and Kording, K (2014) Motor learning of novel dynamics is not represented in a single global coordinate system: evaluation of mixed coordinate representations and local learning. J Neurophysiol, 111. pp. 1165-1182.

Bischoff, B and Nguyen-Tuong, D and Van Hoof, H and McHutchon, A and Rasmussen, CE and Knoll, A and Peters, J and Deisenroth, MP (2014) Policy search for learning robot control using sparse data. In: UNSPECIFIED pp. 3882-3887..

Bratieres, S and Quadrianto, N and Nowozin, S and Ghahramani, Z (2014) Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications. In: UNSPECIFIED pp. 334-342..

Bratières, S and Quadrianto, N and Nowozin, S and Ghahramani, Z (2014) Scalable Gaussian process structured prediction for grid factor graph applications. In: UNSPECIFIED pp. 1625-1636..

Burk, D and Ingram, JN and Franklin, DW and Shadlen, MN and Wolpert, DM (2014) Motor effort alters changes of mind in sensorimotor decision making. PLoS ONE, 9. e92681-.

Burke, CJ and Dreher, JC and Seymour, B and Tobler, PN (2014) State-dependent value representation: Evidence from the striatum. Frontiers in Neuroscience, 8. 193-. ISSN 1662-4548

C

Christensen, JH and Lengyel, M and Fiser, J (2014) Factors determining the balance between evidence integration and probabilistic sampling in perceptual decision-making. In: UNSPECIFIED p. 24..

Cuong, NV and Lee, WS and Ye, N (2014) Near-optimal adaptive pool-based active learning with general loss. In: UNSPECIFIED pp. 122-131..

Cuong, NV and Ye, N and Lee, WS and Chieu, HL (2014) Conditional random field with high-order dependencies for sequence labeling and segmentation. Journal of Machine Learning Research, 15. pp. 981-1009. ISSN 1532-4435

D

Duvenaud, D and Rippel, O and Adams, RP and Ghahramani, Z (2014) Avoiding pathologies in very deep networks. Journal of Machine Learning Research, 33. pp. 202-210. ISSN 1532-4435

Duvenaud, DK and Rippel, O and Adams, RP and Ghahramani, Z (2014) Avoiding pathologies in very deep networks. In: UNSPECIFIED pp. 202-210..

E

Echeveste, R and Gros, C (2014) Generating Functionals for Computational Intelligence: The Fisher Information as an Objective Function for Self-Limiting Hebbian Learning Rules. Frontiers in Robotics and AI, 1. (Unpublished)

F

Festa, D and Hennequin, G and Lengyel, M (2014) Analog memories in a balanced rate-based network of E-I Neurons. In: UNSPECIFIED pp. 2231-2239..

Franklin, DW and Franklin, S and Wolpert, DM (2014) Fractionation of the visuomotor feedback response to directions of movement and perturbation. Journal of Neurophysiology, 112. pp. 2218-2233. ISSN 0022-3077

Frigola, R and Chen, Y and Rasmussen, CE (2014) Variational Gaussian process state-space models. In: UNSPECIFIED pp. 3680-3688..

Frigola, R and Lindsten, F and Schön, TB and Rasmussen, CE (2014) Identification of Gaussian process state-space models with particle stochastic approximation EM. In: UNSPECIFIED pp. 4097-4102..

G

Gal, Y and Ghahramani, Z (2014) Pitfalls in the use of Parallel Inference for the Dirichlet Process. In: UNSPECIFIED pp. 208-216..

Gal, Y and Ghahramani, Z (2014) Pitfalls in the use of parallel inference for the dirichlet process. In: UNSPECIFIED pp. 1437-1445..

Gal, Y and Van Der Wilk, M and Rasmussen, CE (2014) Distributed variational inference in sparse Gaussian process regression and latent variable models. In: UNSPECIFIED pp. 3257-3265..

Ghahramani, Z and Mohamed, S and Heller, K (2014) A simple and general exponential family framework for partial membership and factor analysis. In: Handbook of Mixed Membership Models and Their Applications. UNSPECIFIED, pp. 67-88.

Ghahramani, Z and Mohamed, S and Heller, KA (2014) Partial Membership and Factor Analysis. In: Handbook of Mixed Membership Models and Their Applications. Chapman and Hall/CRC, pp. 67-88.

Gopalan, P and Ruiz, FJR and Ranganath, R and Blei, DM (2014) Bayesian nonparametric poisson factorization for recommendation systems. In: UNSPECIFIED pp. 275-283..

H

Heaukulani, C and Knowles, DA and Ghahramani, Z (2014) Beta Diffusion Trees. In: UNSPECIFIED pp. 1809-1817..

Heaukulani, C and Knowles, DA and Ghahramani, Z (2014) Beta diffusion trees. In: UNSPECIFIED pp. 3821-3829..

Hennequin, G and Aitchison, L and Lengyel, M (2014) Fast sampling-based inference in balanced neuronal networks. In: UNSPECIFIED pp. 2240-2248..

Hennequin, G and Vogels, TP and Gerstner, W (2014) Optimal control of transient dynamics in balanced networks supports generation of complex movements. Neuron, 82. pp. 1394-1406. ISSN 0896-6273

Hernández-Lobato, JM and Hoffman, MW and Ghahramani, Z (2014) Predictive Entropy Search for Efficient Global Optimization of Black-box Functions. In: UNSPECIFIED pp. 918-926..

Hernández-Lobato, JM and Hoffman, MW and Ghahramani, Z (2014) Predictive entropy search for efficient global optimization of black-box functions. Advances in Neural Information Processing Systems, 1. pp. 918-926. ISSN 1049-5258

Hernández-Lobato, JM and Houlsby, N and Ghahramani, Z (2014) Probabilistic Matrix Factorization with Non-random Missing Data. In: UNSPECIFIED pp. 1512-1520..

Hernández-Lobato, JM and Houlsby, N and Ghahramani, Z (2014) Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices. In: UNSPECIFIED pp. 379-387..

Hernández-Lobato, JM and Houlsby, N and Ghahramani, Z (2014) Probabilistic matrix factorization with non-random missing data. In: UNSPECIFIED pp. 3394-3436..

Hernández-Lobato, JM and Houlsby, N and Ghahramani, Z (2014) Stochastic inference for scalable probabilistic modeling of binary matrices. In: UNSPECIFIED pp. 1693-1710..

Houlsby, N and Hernández-Lobato, JM and Ghahramani, Z (2014) Cold-start Active Learning with Robust Ordinal Matrix Factorization. In: UNSPECIFIED pp. 766-774..

Houlsby, N and Hernández-Lobato, JM and Ghahramani, Z (2014) Cold-start active learning with robust ordinal matrix factorization. In: UNSPECIFIED pp. 1964-1972..

K

Knowles, DA and Ghahramani, Z and Palla, K (2014) A reversible infinite HMM using normalised random measures. In: UNSPECIFIED pp. 1998-2006..

L

Lawson, RP and Nord, CL and Seymour, B and Thomas, DL and Dolan, RJ and Dayan, P and Weiskopf, N and Roiser, JP (2014) Habenula responses during appetitive and aversive conditioning in major depressive disorder. J Neurol Neurosurg Psychiatry, 85. e3-.

Lawson, RP and Seymour, B and Loh, E and Lutti, A and Dolan, RJ and Dayan, P and Weiskopf, N and Roiser, JP (2014) The habenula encodes negative motivational value associated with primary punishment in humans. Proceedings of the National Academy of Sciences of the United States of America, 111. pp. 11858-11863. ISSN 0027-8424

Leong, V and Stone, MA and Turner, RE and Goswami, U (2014) A role for amplitude modulation phase relationships in speech rhythm perception. Journal of the Acoustical Society of America, 136. pp. 366-381. ISSN 0001-4966

Lloyd, JR and Duvenaud, D and Grosse, R and Tenenbaum, JB and Ghahramani, Z (2014) Automatic construction and natural-language description of nonparametric regression models. Proceedings of the National Conference on Artificial Intelligence, 2. pp. 1242-1250.

Lloyd, JR and Duvenaud, DK and Grosse, RB and Tenenbaum, JB and Ghahramani, Z (2014) Automatic Construction and Natural-Language Description of Nonparametric Regression Models. In: UNSPECIFIED pp. 1242-1250..

Lopez-Paz, D and Sra, S and Smola, AJ and Ghahramani, Z and Schölkopf, B (2014) Randomized Nonlinear Component Analysis. In: UNSPECIFIED pp. 1359-1367..

Lopez-Paz, D and Sra, S and Smola, AJ and Ghahramani, Z and Schölkopf, B (2014) Randomized nonlinear component analysis. 31st International Conference on Machine Learning, ICML 2014, 4. pp. 3196-3204.

M

Ma, WJ and Shen, S and Dziugaite, G and van den Berg, R (2014) Requiem for the max rule? Vision Res, 116. pp. 179-193.

Mancini, F and Bauleo, A and Cole, J and Lui, F and Porro, CA and Haggard, P and Iannetti, GD (2014) Whole-body mapping of spatial acuity for pain and touch. Annals of Neurology, 75. pp. 917-924. ISSN 0364-5134

Mancini, F and Haggard, P (2014) Perception: A motion after-effect for voluntary actions. Current Biology, 24. R70-R72. ISSN 0960-9822

Mancini, F and Nash, T and Iannetti, GD and Haggard, P (2014) Pain relief by touch: A quantitative approach. Pain, 155. pp. 635-642. ISSN 0304-3959

P

Paige, B and Wood, F (2014) A compilation target for probabilistic programming languages. In: UNSPECIFIED pp. 1935-1943..

Paige, B and Wood, F and Doucet, A and Teh, YW (2014) Asynchronous Anytime Sequential Monte Carlo. In: UNSPECIFIED pp. 3410-3418..

Palla, K and Knowles, DA and Ghahramani, Z (2014) A reversible infinite HMM using normalised random measures. 31st International Conference on Machine Learning, ICML 2014, 5. pp. 4090-4107.

Peharz, R and Kapeller, G and Mowlaee, P and Pernkopf, F (2014) Modeling speech with sum-product networks: Application to bandwidth extension. In: UNSPECIFIED pp. 3699-3703..

R

Reichenbach, A and Franklin, DW and Zatka-Haas, P and Diedrichsen, J (2014) A dedicated binding mechanism for the visual control of movement. Current Biology, 24. pp. 780-785. ISSN 0960-9822

Rosa, MJ and Seymour, B (2014) Decoding the matrix: Benefits and limitations of applying machine learning algorithms to pain neuroimaging. Pain, 155. pp. 864-867. ISSN 0304-3959

Rosa, MJ and Seymour, B (2014) Decoding the matrix: Benefits and limitations of applying machine learning algorithms to pain neuroimaging. Pain, 155. pp. 864-867. ISSN 0304-3959

Ruiz, FJR and Valera, I and Blanco, C and Perez-Cruz, F (2014) Bayesian nonparametric comorbidity analysis of psychiatric disorders. Journal of Machine Learning Research, 15. pp. 1215-1247. ISSN 1532-4435

S

Savin, C and Dayan, P and Lengyel, M (2014) Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3. PLoS Computational Biology, 10. e1003489-. ISSN 1553-734X

Shah, A and Wilson, AG and Ghahramani, Z (2014) Student-t Processes as Alternatives to Gaussian Processes. In: UNSPECIFIED pp. 877-885..

Shah, A and Wilson, AG and Ghahramani, Z (2014) Student-t processes as alternatives to Gaussian processes. Journal of Machine Learning Research, 33. pp. 877-885. ISSN 1532-4435

Shergill, SS and White, TP and Joyce, DW and Bays, PM and Wolpert, DM and Frith, CD (2014) Functional magnetic resonance imaging of impaired sensory prediction in schizophrenia. JAMA Psychiatry, 71. pp. 28-35.

Sprekeler, H and Zito, T and Wiskott, L (2014) An extension of slow feature analysis for nonlinear blind source separation. Journal of Machine Learning Research, 15. pp. 921-947. ISSN 1532-4435

Story, GW and Vlaev, I and Seymour, B and Darzi, A and Dolan, RJ (2014) Does temporal discounting explain unhealthy behavior? A systematic review and reinforcement learning perspective. Frontiers in Behavioral Neuroscience, 8. 76-. ISSN 1662-5153

Story, GW and Vlaev, I and Seymour, B and Winston, JS and Darzi, A and Dolan, RJ (2014) Correction: Dread and the Disvalue of Future Pain. PLoS computational biology, 10. ISSN 1553-734X

T

Tootoonian, S and Lengyel, M (2014) A dual algorithm for olfactory computation in the locust brain. In: UNSPECIFIED pp. 2276-2284..

Trewartha, KM and Garcia, A and Wolpert, DM and Flanagan, JR (2014) Fast but fleeting: Adaptive motor learning processes associated with aging and cognitive decline. Journal of Neuroscience, 34. pp. 13411-13421. ISSN 0270-6474

V

Valera, I and Ghahramani, Z (2014) General table completion using a Bayesian nonparametric model. In: UNSPECIFIED pp. 981-989..

Valera, I and Ruiz, FJR and Perez-Cruz, F (2014) Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation. In: UNSPECIFIED.

Vlaev, I and Seymour, B and Chater, N and Winston, JS and Yoshida, W and Wright, N and Symmonds, M and Dolan, R (2014) Prices need no preferences: social trends determine decisions in experimental markets for pain relief. Health Psychol, 33. pp. 66-76.

van de Meent, J-W and Paige, B and Wood, F (2014) Tempering by subsampling. arXiv preprint arXiv:1401.7145.

van den Berg, R and Awh, E and Ma, WJ (2014) Factorial comparison of working memory models. Psychological Review, 121. pp. 124-149. ISSN 0033-295X

van den Berg, R and Ma, WJ (2014) “Plateau”-related summary statistics are uninformative for comparing working memory models. Attention, Perception, and Psychophysics, 76. pp. 2117-2135. ISSN 1943-3921

W

Welling, M and Ghahramani, Z and Cortes, C and Lawrence, N and Weinberger, K (2014) Preface. In: UNSPECIFIED xxxi-xxxiv..

Winston, JS and Vlaev, I and Chater, N and Dolan, RJ (2014) Relative valuation of pain in human orbitofrontal cortex. Journal of Neuroscience, 34. pp. 14526-14535. ISSN 0270-6474

Wolpe, N and Wolpert, DM and Rowe, JB (2014) Seeing what you want to see: Priors for one's own actions represent exaggerated expectations of success. Frontiers in Behavioral Neuroscience, 8. 232-. ISSN 1662-5153

Wolpert, D and Witkowski, J (2014) A Conversation with Daniel Wolpert. Cold Spring Harbor symposia on quantitative biology, 79. pp. 297-298.

Wolpert, DM (2014) Computations in sensorimotor learning. Cold Spring Harbor Symposia on Quantitative Biology, 79. pp. 93-98. ISSN 0091-7451

Wu, Y and Lobato, JMH and Ghahramani, Z (2014) Gaussian process volatility model. Advances in Neural Information Processing Systems, 2. pp. 1044-1052. ISSN 1049-5258

Y

Yoshida, W and Seymour, B (2014) Decisions about Decisions. Neuron, 81. pp. 468-470. ISSN 0896-6273

Yu, R and Mobbs, D and Seymour, B and Rowe, JB and Calder, AJ (2014) The neural signature of escalating frustration in humans. Cortex, 54. pp. 165-178. ISSN 0010-9452

Z

Zhang, S and Seymour, B (2014) Technology for chronic pain. Current Biology, 24. R930-R935. ISSN 0960-9822

Zhou, K and Wolpert, DM and De Zeeuw, CI (2014) Motor systems: Reaching out and grasping the molecular tools. Current Biology, 24. R269-R271. ISSN 0960-9822

This list was generated on Mon Aug 3 15:47:46 2020 BST.