Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2018
  2. Is there a burden attached to synaesthesia? Health screening of synaesthetes in the general population

    Carmichael, D., Smees, R., Shillcock, R. C. & Simner, J., 3 Oct 2018, In : British Journal of Psychology. p. 1-19 19 p.

    Research output: Contribution to journalArticle

  3. Dynamic Evaluation of Neural Sequence Models

    Krause, B., Mbabazi, E., Murray, I. & Renals, S., 1 Oct 2018, Proceedings of the 35th International Conference on Machine Learning. Dy, J. & Krause, A. (eds.). Stockholmsmässan, Stockholm Sweden: PMLR, Vol. 80. p. 2766-2775 10 p. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio

    Jastrzębski, S., Kenton, Z., Arpit, D., Ballas, N., Fischer, A., Bengio, Y. & Storkey, A., Oct 2018, Proceedings of 27th International Conference on Artificial Neural Networks. Rhodes, Greece: Springer, Cham, p. 392-402 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks

    Antoniou, A., Storkey, A. & Edwards, H., 27 Sep 2018, Artificial Neural Networks and Machine Learning – ICANN 2018. Rhodes, Greece, p. 594-603 10 p. (Lecture Notes in Computer Science; vol. 11141).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Deep multimodal autoencoders for identifying latent representations of spike counts and local field potentials

    Onken, A., Yague, J. & Sakata, S., 27 Sep 2018.

    Research output: Contribution to conferencePoster

  7. Mixed-species RNA-seq for elucidating non-cell-autonomous control of gene transcription

    Qiu, J., Dando, O., Baxter, P., Hasel, P., Heron, S., Simpson, T. & Hardingham, G., 24 Sep 2018, In : Nature Protocols. 26 p.

    Research output: Contribution to journalArticle

  8. Efficient acquisition rules for model-based approximate Bayesian computation

    Järvenpää, M., Gutmann, M., Pleska, A., Vehtari, A. & Marttinen, P., 18 Sep 2018, In : Bayesian analysis. 28 p.

    Research output: Contribution to journalArticle

  9. Major Depression Impairs the Use of Reward Values for Decision-Making

    Rupprechter, S., Stankevicius, A., Huys, Q. J. M., Steele, J. D. & Series, P., 14 Sep 2018, In : Scientific Reports. 9 p., 13798 (2018) .

    Research output: Contribution to journalArticle

  10. It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data

    Ruggero Ronchi, M., Mac Aodha, O., Eng, R. & Perona, P., 2 Sep 2018, p. 1-13. 13 p.

    Research output: Contribution to conferencePaper

  11. Near-Optimal Machine Teaching via Explanatory Teaching Sets

    Chen, Y., Mac Aodha, O., Su, S., Perona, P. & Yue, Y., 1 Sep 2018, Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics. Storkey, A. & Perez-Cruz, F. (eds.). Playa Blanca, Lanzarote, Canary Islands: PMLR, Vol. 84. p. 1970-1978 9 p. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  12. Development of the ASHRAE Global Thermal Comfort Database II

    Földváry, V., Cheung, T., Zhang, H., de Dear, R., Parkinson, T., Arens, E., Chun, C., Schiavon, S., Luo, M., Brager, G., Li, P., Kaam, S., Adebamowo, M. A., Andamon, M. M., Babich, F., Bouden, C., Bukovianska, H., Candido, C., Cao, B., Carlucci, S. & 44 others, Cheong, D. K. W., Choi, J-H., Cook, M., Cropper, P., Deuble, M., Heidari, S., Indraganti, M., Jin, Q., Kim, H., Kim, J., Konis, K., Singh, M. K., Kwok, A., Lamberts, R., Loveday, D., Langevin, J., Manu, S., Moosmann, C., Nicol, F., Ooka, R., Oseland, N. A., Pagliano, L., Petráš, D., Rawal, R., Romero, R., Sekhar, C., Schweiker, M., Tartarini, F., Tanabe, S., Tham, K. W., Teli, D., Toftum, J., Toledo, L., Tsuzuki, K., De Vecchi, R., Wagner, A., Wang, Z., Wallbaum, H., Webb, L., Yang, L., Zhu, Y., Zhai, Y., Zhang, Y. & Zhou, X., Sep 2018, In : Building and Environment. 142, p. 502-512 11 p.

    Research output: Contribution to journalArticle

  13. Detecting repeated cancer evolution from multi-region tumor sequencing data

    Caravagna, G., Giarratano, Y., Ramazzotti, D., Tomlinson, I., Graham, T. A., Sanguinetti, G. & Sottoriva, A., 31 Aug 2018, In : Nature Methods. 15, p. 707-714 8 p.

    Research output: Contribution to journalArticle

  14. Autoregressive Point-Processes as Latent State-Space Models: a Moment-Closure Approach to Fluctuations and Autocorrelations

    Rule, M. & Sanguinetti, G., 27 Aug 2018, In : Neural Computation. 34 p.

    Research output: Contribution to journalArticle

  15. Flux-dependent graphs for metabolic networks

    Beguerisse-Díaz, M., Bosque, G., Oyarzún, D., Picó, J. & Barahona, M., 14 Aug 2018, In : npj Systems Biology and Applications. 4, 1, 14 p., 32.

    Research output: Contribution to journalArticle

  16. Regional Diversity in the Postsynaptic Proteome of the Mouse Brain

    Roy, M., Sorokina, O., McLean, C., Tapia-González, S., DeFelipe, J., Armstrong, J. D. & Grant, S., 1 Aug 2018, In : Proteomes. 6, 3, 18 p.

    Research output: Contribution to journalArticle

  17. A Survey of Machine Learning for Big Code and Naturalness

    Allamanis, M., Barr, E. T., Devanbu, P. & Sutton, C., 31 Jul 2018, In : ACM Computing Surveys. 51, 4, 36 p., 81.

    Research output: Contribution to journalArticle

  18. Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data Wrangling

    Sutton, C., Hobson, T., Geddes, J. & Caruana, R., 19 Jul 2018, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. London, United Kingdom: ACM, p. 2279-2288 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  19. HuD is a neural translation enhancer acting on mTORC1-responsive genes and counteracted by the Y3 small non-coding RNA

    Tebaldi, T., Zuccotti, P., Peroni, D., Köhn, M., Gasperini, L., Potrich, V., Bonazza, V., Dudnakova, T., Rossi, A., Sanguinetti, G., Conti, L., Macchi, P., D'Agostino, V., Viero, G., Tollervey, D., Hüttelmaier, S. & Quattrone, A., 19 Jul 2018, In : Molecular Cell. 71, 2, p. 256-270 26 p.

    Research output: Contribution to journalArticle

  20. BPRMeth: a flexible Bioconductor package for modelling methylation profiles

    Kapourani, C-A. & Sanguinetti, G., 15 Jul 2018, In : Bioinformatics. 34, 14, p. 2485-2486 2 p.

    Research output: Contribution to journalArticle

  21. Conditional Noise-Contrastive Estimation of Unnormalised Models

    Ceylan, C. & Gutmann, M., 15 Jul 2018, Proceedings of 35th International Conference on Machine Learning (ICML 2018). Dy, J. & Krause, A. (eds.). Stockholmsmässan, Stockholm Sweden: PMLR, Vol. 80. p. 725-733 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  22. Dynamic metabolic control: towards precision engineering of metabolism

    Liu, D., Mannan, A. A., Han, Y., Oyarzun, D. & Zhang, F., 1 Jul 2018, In : Journal of Industrial Microbiology & Biotechnology. 45, 7, p. 535-543 9 p.

    Research output: Contribution to journalArticle

  23. Mining Semantic Loop Idioms

    Allamanis, M., Barr, E. T., Bird, C., Devanbu, P., Marron, M. & Sutton, C., 1 Jul 2018, In : IEEE Transactions on Software Engineering. 44, 7, 18 p.

    Research output: Contribution to journalArticle

  24. Consequences of selecting technology pathways on cumulative carbon dioxide emissions for the United Kingdom Applied Energy

    Roberts, S. H., Foran, B. D., Axon, C. J., Warr, B. S. & Goddard, N., 28 Jun 2018, In : Applied energy. 228, p. 409-425 17 p.

    Research output: Contribution to journalArticle

  25. ELFI: Engine for Likelihood-Free Inference

    Lintusaari, J., Vuollekoski, H., Kangasrääsiö, A., Skyten, K., Järvenpää, M., Marttinen, P., Gutmann, M., Vehtari, A., Corander, J. & Kaski, S., 20 Jun 2018, (Accepted/In press) In : Journal of Machine Learning Research. 8 p.

    Research output: Contribution to journalArticle

  26. Monitoring brain activity and behaviour in freely moving Drosophila larvae using bioluminescence

    Marescotti, M., Lagogiannis, K., Webb, B., Davies, R. W. & Armstrong, J. D., 18 Jun 2018, In : Scientific Reports. 8, 1, 10 p., 9246.

    Research output: Contribution to journalArticle

  27. Neurons That Update Representations of the Future

    Seriès, P., 11 Jun 2018, In : Trends in Cognitive Sciences. 2 p.

    Research output: Contribution to journalArticle

  28. Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts

    Louis, A. & Sutton, C., 6 Jun 2018, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. New Orleans, Louisiana : Association for Computational Linguistics, p. 708-713 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  29. Autistic traits, but not schizotypy, predict increased weighting of sensory information in Bayesian visual integration

    Karvelis, P., Seitz, A. R., Lawrie, S. & Series, P., 14 May 2018, In : eLIFE. 44 p.

    Research output: Contribution to journalArticle

  30. The Broad-Spectrum Antimicrobial Potential of [Mn(CO)4S2CNMe(CH2CO2H)], a Water-Soluble CO-Releasing Molecule (CORM-401): Intracellular Accumulation, Transcriptomic and Statistical Analyses, and Membrane Polarization

    Wareham, L., McLean, S., Beqq, R., Rana, N., Ali, S., Kendall, J., Sanguinetti, G., Mann, B. & Poole, R., 10 May 2018, In : Antioxidants and Redox Signaling. 28, 14, 66 p.

    Research output: Contribution to journalArticle

  31. Goals and resource constraints in CARMA

    Hillston, J., Georgoulas, A. & Piho, P., 9 May 2018, In : Electronic Notes in Theoretical Computer Science. 337, p. 155-172 18 p.

    Research output: Contribution to journalArticle

  32. A Framework for the Quantitative Evaluation of Disentangled Representations

    Eastwood, C. & Williams, C. K. I., 3 May 2018, Sixth International Conference on Learning Representations (ICLR 2018). 15 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  33. Synthesizing realistic neural population activity patterns using Generative Adversarial Networks

    Molano-Mazon, M., Onken, A., Piasini, E. & Panzeri, S., 3 May 2018, International Conference on Learning Representations 2018. 24 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  34. mRNA Cap Methyltransferase, RNMT-RAM, Promotes RNA Pol II-Dependent Transcription

    Varshney, D., Lombardi, O., Schweikert, G., Dunn, S., Suska, O. & Cowling, V. H., 2 May 2018, In : Cell Reports. 23, 5, p. 1530-1542 14 p.

    Research output: Contribution to journalArticle

  35. Performance-monitoring integrated reweighting model of perceptual learning

    Sotiropoulos, G., Seitz, A. R. & Series, P., 25 Apr 2018, In : Vision Research. 23 p.

    Research output: Contribution to journalArticle

  36. Rule-based modelling provides an extendable framework for comparing candidate mechanisms underpinning clathrin polymerisation

    Sorokin, A., Heil, K., Armstrong, J. D. & Sorokina, O., 4 Apr 2018, In : Scientific Reports. 8, 10 p., 5658.

    Research output: Contribution to journalArticle

  37. Pharmacological validation of individual animal locomotion, temperature and behavioural analysis in group-housed rats using a novel automated home cage analysis system: A comparison with the modified Irwin test

    Tse, K., Sillito, R., Keerie, A., Collier, R., Grant, C., Karp, N. A., Vickers, C., Chapman, K., Armstrong, J. D. & Redfern, W. S., 1 Apr 2018, In : Journal of Pharmacological and Toxicological Methods. 94, p. 1 - 13 13 p.

    Research output: Contribution to journalArticle

  38. The power of synthetic biology for bioproduction, remediation and pollution control

    de Lorenzo, V., Prather, K. LJ., Chen, GQ., O'Day, E., von Kameke, C., Oyarzún, D. A., Hosta‐Rigau, L., Alsafar, H., Cao, C., Ji, W., Okano, H., Roberts, R. J., Ronaghi, M., Yeung, K., Zhang, F. & Lee, S. Y., 1 Apr 2018, In : EMBO Reports. 19, 4, 6 p., e45658.

    Research output: Contribution to journalArticle

  39. Space-by-Time Tensor Decomposition for Single-Trial Analysis of Neural Signals

    Delis, I., Onken, A. & Panzeri, S., 21 Mar 2018, Mathematical and Theoretical Neuroscience. Springer, Cham, p. 223-237 (INdAM Series; vol. 24).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  40. SHEILA policy framework: Informing institutional strategies and policy processes of learning analytics

    Tsai, Y-S., Moreno-Marcos, P. M., Tammets, K., Kollom, K. & Gasevic, D., 9 Mar 2018, Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK'18). Sydney: ACM Press, 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  41. Bat detective - Deep learning tools for bat acoustic signal detection

    Mac Aodha, O., Gibb, R., Barlow, K. E., Browning, E., Firman, M., Freeman, R., Harder, B., Kinsey, L., Mead, G. R., Newson, S. E., Pandourski, I., Parsons, S., Russ, J., Szodoray-Paradi, A., Szodoray-Paradi, F., Tilova, E., Girolami, M., Brostow, G. & Jones, K. E., 8 Mar 2018, In : PLoS Computational Biology. 14, 3, p. 1-19 19 p.

    Research output: Contribution to journalArticle

  42. Empirical vine copula modeling to study multivariate neural representations during complex behaviors

    Safaai, H., Chettih, S., Onken, A., Panzeri, S. & Harvey, C., 3 Mar 2018, p. 244-245. 2 p.

    Research output: Contribution to conferenceAbstract

  43. Weak Epistasis May Drive Adaptation in Recombining Bacteria

    Arnold, B. J., Gutmann, M., Grad, Y. H., Sheppard, S. K., Corander, J., Lipsitch, M. & Hanage, W. P., 1 Mar 2018, In : Genetics. 208, 3, p. 1247-1260 39 p.

    Research output: Contribution to journalArticle

  44. Likelihood-free inference via classification

    Gutmann, M., Mar 2018, In : Statistics and Computing. 15 p.

    Research output: Contribution to journalArticle

  45. FISSA: A neuropil decontamination toolbox for calcium imaging signals

    Keemink, S., Lowe, S., Pakan, J., Dylda, E., Van Rossum, M. & Rochefort, N., 22 Feb 2018, In : Nature Human Behaviour.

    Research output: Contribution to journalArticle

  46. scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells

    Clark, S. J., Argelaguet, R., Kapourani, A., Stubbs, T. M., Lee, H. J., Alda-Catalinas, C., Krueger, F., Sanguinetti, G., Kelsey, G., Marioni, J. C., Stegle, O. & Reik, W., 22 Feb 2018, In : Nature Communications. 9, 17 p., 781.

    Research output: Contribution to journalArticle

  47. Phase reorganization leads to transient β-LFP spatial wave patterns in motor cortex during steady-state movement preparation

    Rule, M., Vargas-Irwin, C. E., Donoghue, J. P. & Truccolo, W., 14 Feb 2018, In : Journal of Neurophysiology. 37 p.

    Research output: Contribution to journalArticle

  48. Sequence-to-point learning with neural networks for non-intrusive load monitoring

    Zhang, C., Zhong, M., Wang, Z., Goddard, N. & Sutton, C., 7 Feb 2018, Proceedings for Thirty-Second AAAI Conference on Artificial Intelligence. New Orleans, Louisiana, USA: AAAI Press, p. 2604-2611 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  49. Erratum: Author Correction: Neurons and neuronal activity control gene expression in astrocytes to regulate their development and metabolism (Nature communications (2017) 8 (15132))

    Hasel, P., Dando, O., Jiwaji, Z., Baxter, P., Todd, A. C., Heron, S., Márkus, N. M., McQueen, J., Hampton, D. W., Torvell, M., Tiwari, S. S., McKay, S., Eraso-Pichot, A., Zorzano, A., Masgrau, R., Galea, E., Chandran, S., Wyllie, D. J. A., Simpson, T. I. & Hardingham, G. E., 6 Feb 2018, In : Nature Communications. 9, 1 p.

    Research output: Contribution to journalComment/debate

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