CUED Publications database

Items where Division is "Div F > Computational and Biological Learning" and Year is 2017

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Number of items: 58.


Acerbi, L and Vijayakumar, S and Wolpert, DM (2017) Target Uncertainty Mediates Sensorimotor Error Correction. PLoS ONE, 12. e0170466-.


Balog, M and Tripuraneni, N and Ghahramani, Z and Weiler, A (2017) Lost relatives of the Gumbel trick. In: UNSPECIFIED pp. 588-606..

Bosma, S and Bruinsma, WP and Hes, RP and Bentum, MJ and Lager, IE (2017) Grating lobes prediction in 3D array antennas. In: UNSPECIFIED pp. 3733-3737..

Bui, TD and Nguyen, CV and Turner, RE (2017) Streaming sparse Gaussian process approximations. In: UNSPECIFIED pp. 3300-3308..


Choromanski, K and Rowland, M and Weller, A (2017) The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings. In: Neural Information Processing Systems 2017, 2017-12-4 to 2017-12-9, Long Beach Convention Center, Long Beach pp. 219-228..


Diamond, JS and Wolpert, DM and Flanagan, JR (2017) Rapid target foraging with reach or gaze: The hand looks further ahead than the eye. PLoS Computational Biology, 13. e1005504-. ISSN 1553-734X


Fallon, SJ and Zokaei, N and Norbury, A and Manohar, SG and Husain, M (2017) Dopamine alters the fidelity of working memory representations according to attentional demands. Journal of Cognitive Neuroscience, 29. pp. 728-738. ISSN 0898-929X

Fatemi, M and Granström, K and Svensson, L and Ruiz, FJR and Hammarstrand, L (2017) Poisson Multi-Bernoulli Mapping Using Gibbs Sampling. IEEE Transactions on Signal Processing, 65. pp. 2814-2827. ISSN 1053-587X

Franklin, S and Wolpert, DM and franklin, D (2017) Rapid visuomotor feedback gains are tuned to the task dynamics. Journal of Neurophysiology, 118. pp. 2711-2726.


Gal, Y and Islam, R and Ghahramani, Z (2017) Deep Bayesian active learning with image data. In: UNSPECIFIED pp. 1923-1932..

Gallivan, JP and Stewart, BM and Baugh, LA and Wolpert, DM and Flanagan, JR (2017) Rapid Automatic Motor Encoding of Competing Reach Options. Cell Reports, 18. pp. 1619-1626.

Gallivan, JP and Stewart, BM and Baugh, LA and Wolpert, DM and Flanagan, JR (2017) Rapid Automatic Motor Encoding of Competing Reach Options. Cell Reports, 18. pp. 1619-1626.

Ghahramani, Z and Gal, Y and Islam, R (2017) Deep Bayesian Active Learning with Image Data. In: ICML 2017, 2017-8-6 to 2017-8-11, Sydney, Australia pp. 1183-1192.. (Unpublished)

Gros, C and Trapp, P and Echeveste, R (2017) Hebbian learning deduced from the stationarity principle leads to balanced chaos in fully adapting autonomously active networks. In: UNSPECIFIED pp. 444-445..

Gu, S and Lillicrap, T and Ghahramani, Z and Turner, RE and Schölkopf, B and Levine, S (2017) Interpolated policy gradient: Merging on-policy and off-policy gradient estimation for deep reinforcement learning. In: UNSPECIFIED pp. 3847-3856..


Hennequin, G (2017) Neural networks subtract and conquer. eLife, 6.

Hennequin, G (2017) Neural networks subtract and conquer: Two theoretical studies reveal how networks of neurons may behave during reward-based learning. eLife, 6.

Hennequin, GJE and Agnes, EJ and Vogels, TPV (2017) Inhibitory Plasticity: Balance, Control, and Codependence. Annual Review of Neuroscience, 40. pp. 557-579.

Hernández-Lobato, JM and Requeima, J and Pyzer-Knapp, EO and Aspuru-Guzik, A (2017) Parallel and distributed thompson sampling for large-scale accelerated exploration of chemical space. 34th International Conference on Machine Learning, ICML 2017, 3. pp. 2325-2334.


Ingram, J and Sadeghi, M and Flanagan, JR and Wolpert, DM (2017) An error-tuned model for sensorimotor learning. PLoS Computational Biology, 13. e1005883-.


Jaques, N and Gu, S and Bahdanau, D and Hernández-Lobato, JM and Turner, RE and Eck, D (2017) Sequence tutor: Conservative fine-tuning of sequence generation models with KL-control. In: UNSPECIFIED pp. 2587-2596..


Kang, YHR and Petzschner, FH and Wolpert, DM and Shadlen, MN (2017) Piercing of Consciousness as a Threshold-Crossing Operation. Current Biology, 27. 2285-2295.e6. (Unpublished)

Kok, M and Hol, JD and Schön, TB (2017) Using inertial sensors for position and orientation estimation. Foundations and Trends in Signal Processing, 11. pp. 1-153. ISSN 1932-8346

Kusner, MJ and Paige, B and Hernández-Lobato, JM (2017) Grammar Variational Autoencoder. In: 34 th International Conference on Machine Learning, Sydney, Australia, PMLR 70, 2017, 2017-8-6 to 2017-8-11, Sydney, Australia pp. 1945-1954.. (Unpublished)


Lancaster, J and Mano, H and Callan, D and Kawato, M and Seymour, B (2017) Decoding acute pain with combined EEG and physiological data. 8th International IEEE/EMBS Conference on Neural Engineering (NER), 2017. pp. 521-524. ISSN 1948-3546

Lee, J and Heaukulani, C and Ghahramani, Z and James, LF and Choi, S (2017) Bayesian inference on random simple graphs with power law degree distributions. 34th International Conference on Machine Learning, ICML 2017, 4. pp. 3153-3168.

Lengyel, M and Aitchison, L (2017) With or without you: predictive coding and Bayesian inference in the brain. Current Opinion in Neurobiology, 46. pp. 219-227.

Liu, LP and Ruiz, FJR and Athey, S and Blei, DM (2017) Context selection for embedding models. In: UNSPECIFIED pp. 4817-4826..


Mancini, F and Dolgilevica, K and Steckelmacher, J and Haggard, P and Friston, K and Iannetti, GD (2017) Corrigendum: Perceptual learning to discriminate the intensity and spatial location of nociceptive stimuli. Scientific reports, 7. 42986-.

Mancini, F and Pepe, A and Bernacchia, A and Di Stefano, G and Mouraux, A and Iannetti, GD (2017) Characterising the short-term habituation of event-related evoked potentials. eNeuro. ISSN 2373-2822 (Unpublished)

Mano, H and yoshida, W and Shibata, K and Zhang, S and Koltzenburg, M and Kawato, M and Seymour, BJ (2017) Thermosensory perceptual learning is associated with structural brain changes in parietal-opercular (SII) cortex. Journal of Neuroscience. (Unpublished)

Marschik, PB and Pokorny, FB and Peharz, R and Zhang, D and O’Muircheartaigh, J and Roeyers, H and Bölte, S and Spittle, AJ and Urlesberger, B and Schuller, B and Poustka, L and Ozonoff, S and Pernkopf, F and Pock, T and Tammimies, K and Enzinger, C and Krieber, M and Tomantschger, I and Bartl-Pokorny, KD and Sigafoos, J and Roche, L and Esposito, G and Gugatschka, M and Nielsen-Saines, K and Einspieler, C and Kaufmann, WE (2017) A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders. Current Neurology and Neuroscience Reports, 17. 43-. ISSN 1528-4042

Matthews, AGDG and Van Der Wilk, M and Nickson, T and Fujii, K and Boukouvalas, A and León-Villagrá, P and Ghahramani, Z and Hensman, J (2017) GPflow: A Gaussian Process Library using TensorFlow. Journal of Machine Learning Research, 18. ISSN 1532-4435

McAllister, RT and Gal, Y and Kendall, A and van der Wilk, M and Shah, A and Cipolla, R and Weller, A (2017) Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning. In: IJCAI-17, 2017-8-19 to 2017-8-25, Melbourne, Australia pp. 4745-4753..

McAllister, RT and Rasmussen, CE (2017) Data-efficient reinforcement learning in continuous state-action Gaussian-POMDPs. In: Neural Information Processing Systems, 2017-12- to -- pp. 2041-2050..


Naesseth, CA and Ruiz, FJR and Linderman, SW and Blei, DM (2017) Reparameterization gradients through acceptance-rejection sampling algorithms. Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017.

Narayanaswamy, S and Paige, TB and Van de Meent, J-W and Desmaison, A and Goodman, N and Kohli, P and Wood, F and Torr, P (2017) Learning disentangled representations with semi-supervised deep generative models. In: 31st Conference on Neural Information Processing Systems, -- to --, Long Beach, California, USA pp. 5925-5935..

Nashed, JY and Diamond, JS and Gallivan, JP and Wolpert, DM and Flanagan, JR (2017) Grip force when reaching with target uncertainty provides evidence for motor optimization over averaging. Scientific Reports, 7. 11703-.

Norbury, A and Robbins, T and Seymour, B (2017) Value generalization in human avoidance learning.


Palla, K and Knowles, D and Ghahramani, Z (2017) A birth-death process for feature allocation. In: UNSPECIFIED pp. 4209-4237..

Palla, K and Knowles, DA and Ghahramani, Z (2017) A Birth-Death Process for Feature Allocation. In: ICML 2017, 2017-8-6 to 2017-8-11, International Conference Centre, Sydney Australia pp. 2751-2759..

Peharz, R and Gens, R and Pernkopf, F and Domingos, P (2017) On the Latent Variable Interpretation in Sum-Product Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39. pp. 2030-2044. ISSN 0162-8828


Reagen, B and Hernandez-Lobato, JM and Adolf, R and Gelbart, M and Whatmough, P and Wei, GY and Brooks, D (2017) A case for efficient accelerator design space exploration via Bayesian optimization. In: ACM/IEEE International Symposium on Low Power Electronics and Design, 2017-7-24 to 2017-7-26, Taipei, Taiwan.

Rudolph, M and Ruiz, F and Athey, S and Blei, D (2017) Structured embedding models for grouped data. In: UNSPECIFIED pp. 251-261..


Sadabadi, MS and Haddadi, A and Karimi, H and Karimi, A (2017) A Robust Active Damping Control Strategy for an $LCL$ -Based Grid-Connected DG Unit. IEEE Transactions on Industrial Electronics, 64. pp. 8055-8065. ISSN 0278-0046

Sadabadi, MS and Shafiee, Q and Karimi, A (2017) Plug-and-Play Voltage Stabilization in Inverter-Interfaced Microgrids via a Robust Control Strategy. IEEE Transactions on Control Systems Technology, 25. pp. 781-791. ISSN 1063-6536

Schuster, I and Strathmann, H and Paige, B and Sejdinovic, D (2017) Kernel Sequential Monte Carlo. In: ECML-PKDD, -- to --, Springer pp. 390-409..

Seymour, B and Norbury, A (2017) Reinforcement learning models of aversive learning and their translation to anxiety disorders. In: WASAD, -- to -- pp. 1283-1284..

Skoglund, MA and Sjanic, Z and Kok, M (2017) On orientation estimation using iterative methods in Euclidean space. In: UNSPECIFIED.


Trapp, M and Madl, T and Peharz, R and Pernkopf, F and Trappl, R (2017) Safe semi-supervised learning of sum-product networks. Uncertainty in Artificial Intelligence - Proceedings of the 33rd Conference, UAI 2017.

Tripuraneni, N and Rowland, M and Ghahramani, Z and Turner, R (2017) Magnetic hamiltonian Monte Carlo. 34th International Conference on Machine Learning, ICML 2017, 7. pp. 5292-5312.


Ujfalussy, B and Lengyel, M and Branco, T (2017) Global, multiplexed dendritic computations under in vivo-like conditions.


Valera, I and Ghahramani, Z (2017) Automatic Discovery of the Statistical Types of Variables in a Dataset. In: ICML 2017, 2017-8-6 to 2017-8-11, International Conference Centre, Sydney Australia pp. 3521-3529..

Valera, I and Ghahramani, Z (2017) Automatic discovery of the statistical types of variables in a dataset. In: UNSPECIFIED pp. 5380-5388..

Van Der Wilk, M and Rasmussen, CE and Hensman, J (2017) Convolutional Gaussian processes. In: Neural Information Processing Systems 2017, 2017-12- to -- pp. 2850-2859..

Vulic, I and Mrkšic, N and Reichart, R and Séaghdha, D and Young, S and Korhonen, A (2017) Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules. In: 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), 2017-7-30 to 2017-8-4, Vancouver, Canada pp. 56-68..


Yang, SCH and Lengyel, M and Wolpert, DM (2017) Erratum: Correction: Active sensing in the categorization of visual patterns (eLife (2016) 5 PII: e25660). eLife, 6.


Zhang, S and Mano, H and Lee, M and Yoshida, W and Kawato, M and Robbins, T and Seymour, B (2017) The control of tonic pain by active relief learning.

This list was generated on Mon Aug 3 16:52:03 2020 BST.