Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2020
  2. Learning analytics in European higher education–trends and barriers

    Tsai, Y-S., Rates, D., Moreno-Marcos, P. M., Muñoz-Merino, P. J., Jivet, I., Scheffel, M., Drachsler, H., Kloos, C. D. & Gašević, D., 20 May 2020, In : Computers & Education. 26 p., 103933.

    Research output: Contribution to journalArticle

  3. Blunted Medial Prefrontal Cortico-Limbic Reward-Related Effective Connectivity and Depression

    Rupprechter, S., Romaniuk, L., Series, P., Hirose, Y., Hawkins, E., Sandu-Giuraniuc, A., Waiter, G., Mcneil, C. J., Shen, X., Harris, M., Campbell, A., Porteous, D., McFarlane, J., Lawrie, S., Murray, A., Delgado, M., McIntosh, A., Whalley, H. & Steele, D., 8 May 2020, In : Brain.

    Research output: Contribution to journalArticle

  4. Adaptive Approximate Bayesian Computation Tolerance Selection

    Simola, U., Cisewski-Kehe, J., Gutmann, M. U. & Corander, J., 7 May 2020, In : Bayesian analysis. 27 p.

    Research output: Contribution to journalArticle

  5. Assessing the validity of a learning analytics expectation instrument: A multinational study

    Whitelock-Wainwright, A., Gasevic, D., Tsai, Y-S., Drachsler, H., Scheffel, M., Muñoz-Merino, P., Tammets, K. & Delgado Kloos, C., 30 Apr 2020, In : Journal of Computer Assisted Learning. 36, 2, p. 209-240 32 p.

    Research output: Contribution to journalArticle

  6. Geocoding of trees from street addresses and street-level images

    Laumer, D., Lang, N., van Doorn, N., Mac Aodha, O., Perona, P. & Dirk Wegner, J., 30 Apr 2020, In : ISPRS Journal of Photogrammetry and Remote Sensing. 162, p. 125-136 12 p.

    Research output: Contribution to journalArticle

  7. Identifying needs for learning analytics adoption in Latin American universities: A mixed-methods approach

    Hilliger, I., Ortiz-Rojas, M., Pesántez-Cabrera, P., Scheihing, E., Tsai, Y-S., Muñoz-Merino, P. J., Broos, T., Whitelock-Wainwright, A. & Pérez-Sanagustín, M., 30 Apr 2020, In : Internet and Higher Education. 45, 9 p., 100726.

    Research output: Contribution to journalArticle

  8. Reward association enhances stimulus-specific representations in primary visual cortex

    Henschke, J. U., Dylda, E., Katsanevaki, D., Dupuy, N., Currie, S., Amvrosiadis, T., Pakan, J. & Rochefort, N., 2 Apr 2020, In : Current Biology.

    Research output: Contribution to journalArticle

  9. Towards learning analytics adoption: A mixed methods study of data-related practices and policies in Latin American universities

    Hilliger, I., Ortiz-Rojas, M., Pesántez-Cabrera, P., Scheihing, E., Tsai, Y-S., Muñoz-Merino, P. J., Broos, T., Whitelock-Wainwright, A., Gašević, D. & Pérez-Sanagustín, M., 2 Apr 2020, In : British Journal of Educational Technology. 23 p.

    Research output: Contribution to journalArticle

  10. MicroRNA-34a Acutely Regulates Synaptic Efficacy in the Adult Dentate Gyrus In Vivo

    Berentsen, B., Patil, S., Rønnestad, K., Goff, K. M., Pajak, M., Simpson, T. I., Wibrand, K. & Bramham, C. R., 31 Mar 2020, In : Molecular Neurobiology. 57, 3, p. 1432–1445 14 p.

    Research output: Contribution to journalArticle

  11. The Extended Dawid-Skene Model: Fusing Information from Multiple Data Schemas

    Camilleri, M. & Williams, C. K. I., 28 Mar 2020, Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I. Cellier, P. & Driessens, K. (eds.). Springer, Cham, p. 121-136 16 p. (Communications in Computer and Information Science (CCIS); vol. 1167).

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

  12. Disciplinary Differences in Blended Learning Design: A Network Analytic Study

    Whitelock-Wainwright, A., Tsai, Y-S., Lyons, K., Khalif, S., Bryant, M., Ryan, K. & Gasevic, D., 23 Mar 2020, LAK '20: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge. Association for Computing Machinery (ACM), p. 579-588 10 p.

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

  13. Perceptions and expectation about Learning Analytics from a Brazilian Higher Education Institution

    Pontual Falcão, T., Ferreira Mello, R., Lins Rodrigues, R., Regueira Bast Diniz, J., Tsai, Y-S. & Gasevic, D., 23 Mar 2020, LAK '20: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge. Association for Computing Machinery (ACM), p. 240-249 10 p.

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

  14. The privacy paradox and its implications for learning analytics

    Tsai, Y-S., Whitelock-Wainwright, A. & Gasevic, D., 23 Mar 2020, LAK '20: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge. Association for Computing Machinery (ACM), p. 230-239 10 p.

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

  15. Aralar Sequesters GABA into Hyperactive Mitochondria, Causing Social Behavior Deficits

    Kanellopoulos, A. K., Mariano, V., Spinazzi, M., Woo, Y. J., McLean, C., Pech, U., Li, K. W., Armstrong, J. D., Giangrande, A., Callaerts, P., Smit, A. B., Abrahams, B. S., Fiala, A., Achsel, T. & Bagni, C., 19 Mar 2020, In : Cell. 180, 6, p. 1178 - 1197 41 p., e20.

    Research output: Contribution to journalArticle

  16. Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations

    Järvenpää, M., Gutmann, M., Vehtari, A. & Marttinen, P., 19 Mar 2020, In : Bayesian analysis. advance publication, 32 p.

    Research output: Contribution to journalArticle

  17. Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs

    Radu, V., Kaszyk, J., Wen, Y., Turner, J., Cano, J., Crowley, E., Franke, B., Storkey, A. & O'Boyle, M., 19 Mar 2020, 2019 IEEE International Symposium on Workload Characterization (IISWC). Institute of Electrical and Electronics Engineers (IEEE), p. 24-34 11 p.

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

  18. Metabolite sequestration enables rapid recovery from fatty acid depletion in Escherichia coli

    Hartline, C. J., Mannan, A. A., Liu, D., Zhang, F. & Oyarzún, D. A., 17 Mar 2020, In : mBio. 11, 2, e03112-19.

    Research output: Contribution to journalArticle

  19. The technology behind a shared demand responsive transport system for a university campus

    Attard, M., Camilleri, M. P. J. & Muscat, A., 17 Mar 2020, In : Research in Transportation Business & Management. 12 p., 100463.

    Research output: Contribution to journalArticle

  20. ptype: probabilistic type inference

    Ceritli, T., Williams, C. K. I. & Geddes, J., 16 Mar 2020, In : Data Mining and Knowledge Discovery. 34, 3, p. 870-904 35 p.

    Research output: Contribution to journalArticle

  21. Digging Into Self-Supervised Monocular Depth Estimation

    Godard, C., Mac Aodha, O., Firman, M. & Brostow, G. J., 27 Feb 2020, 2019 IEEE/CVF International Conference on Computer Vision (ICCV). Institute of Electrical and Electronics Engineers (IEEE), p. 3827-3837 11 p.

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

  22. Presence-Only Geographical Priors for Fine-Grained Image Classification

    Mac Aodha, O., Cole, E. & Perona, P., 27 Feb 2020, 2019 IEEE/CVF International Conference on Computer Vision (ICCV). Institute of Electrical and Electronics Engineers (IEEE), p. 9595-9605 11 p.

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

  23. Automatic Generation of Specialized Direct Convolutions for Mobile GPUs

    Mogers, N., Radu, V., Li, L., Turner, J., O'Boyle, M. & Dubach, C., 23 Feb 2020, GPGPU '20: Proceedings of the 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit. ACM, p. 41-50 10 p.

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

  24. Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data

    Eduardo, S., Nazábal, A., Williams, C. K. I. & Sutton, C., 17 Jan 2020, (Accepted/In press) Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020. 10 p.

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

  25. State-dependent brainstem ensemble dynamics and their interactions with hippocampus across sleep states

    Tsunematsu, T., Patel, A., Onken, A. & Sakata, S., 14 Jan 2020, In : eLIFE. 9, 22 p., e52244.

    Research output: Contribution to journalArticle

  26. Genome-wide CRISPR screen Identifies Host Dependency Factors for Influenza A Virus Infection

    Li, B., Clohisey, S. M., Chia, B. S., Wang, B., Cui, A., Eisenhaure, T., Schweitzer, L. D., Hoover, P., Parkinson, N. J., Nachshon, A., Smith, N., Regan, T., Farr, D., Gutmann, M. U., Bukhari, S. I., Law, A., Sangesland, M., Gat-viks, I., Digard, P., Vasudevan, S. & 5 others, Lingwood, D., Dockrell, D. H., Doench, J. G., Baillie, J. K. & Hacohen, N., 9 Jan 2020, In : Nature Communications. 11, 1

    Research output: Contribution to journalArticle

  27. Robust Optimisation Monte Carlo

    Ikonomov, B. & Gutmann, M., 6 Jan 2020, (Accepted/In press) Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics. 15 p.

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

  28. BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget

    Turner, J., Crowley, E., O'Boyle, M., Storkey, A. & Gray, G., 1 Jan 2020, (Accepted/In press) Proceedings to the International Conference on Learning Representations 2020. 15 p.

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

  29. Empowering learners with personalised learning approaches? Agency, equity and transparency in the context of learning analytics

    Tsai, Y-S., Perrotta, C. & Gasevic, D., 2020, In : Assessment & Evaluation in Higher Education. 45, 4, p. 554-567 23 p.

    Research output: Contribution to journalArticle

  30. 2019
  31. Multiobjective optimization of gene circuits for metabolic engineering

    Otero-Muras, I., Mannan, A. A., Banga, J. R. & Oyarzún, D. A., 26 Dec 2019, In : IFAC-PapersOnLine. 52, 26, p. 13-16 4 p.

    Research output: Contribution to journalArticle

  32. Parameter estimation for biochemical reaction networks using Wasserstein distances

    Öcal, K., Grima, R. & Sanguinetti, G., 23 Dec 2019, In : Journal of Physics A: Mathematical and Theoretical. 53, 3, p. 1-23 24 p., 034002.

    Research output: Contribution to journalArticle

  33. Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification

    Breier, B. & Onken, A., 20 Dec 2019, Proceedings of the International Conference on Learning Representations, 2020. Addis Ababa, Ethiopia

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

  34. Generative Ratio Matching Networks

    Srivastava, A., Xu, K., Gutmann, M. & Sutton, C., 20 Dec 2019, (Accepted/In press) Proceedings of the International Conference on Learning Representations 2020. 18 p.

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

  35. Neural Spline Flows

    Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 14 Dec 2019, Advances in Neural Information Processing Systems 32 (NeurIPS 2019). Curran Associates Inc, Vol. 32. p. 7509-7520 12 p.

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

  36. Scalable Extreme Deconvolution

    Ritchie, J. & Murray, I., 14 Dec 2019. 7 p.

    Research output: Contribution to conferencePoster

  37. Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference

    Hurwitz, C. L., Xu, K., Srivastava, A., Buccino, A. P. & Hennig, M., 14 Dec 2019, Advances in Neural Information Processing Systems 32. Wallach, H., Larochelle, H., Beygelzimer, A., d'Alche-Buc, F., Fox, E. & Ganett, R. (eds.). Curran Associates Inc, Vol. 32. p. 4726-4738 13 p.

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

  38. Teaching Multiple Concepts to a Forgetful Learner

    Hunziker, A., Chen, Y., Mac Aodha, O., Gomez Rodriguez, M., Krause, A., Perona, P., Yue, Y. & Singla, A., 14 Dec 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). Curran Associates Inc, Vol. 32. p. 4050-4060 23 p.

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

  39. Statistical abstraction for multi-scale spatio-temporal systems

    Michaelides, M., Hillston, J. & Sanguinetti, G., 10 Dec 2019, In : ACM Transactions on Modeling and Computer Simulation. 29, 4, p. 22:1-22:29 29 p., 22.

    Research output: Contribution to journalArticle

  40. Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking

    Wei, X. & Radu, V., 28 Nov 2019, 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p.

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

  41. CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras

    Cosma, A., Radoi, I. E. & Radu, V., 28 Nov 2019, 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p.

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

  42. Pathways to cellular supremacy in biocomputing

    Grozinger, L., Amos, M., Gorochowski, T. E., Carbonell, P., Oyarzún, D. A., Stoof, R., Fellermann, H., Zuliani, P., Tas, H. & Goñi-Moreno, A., 20 Nov 2019, In : Nature Communications. 10, 1, 11 p., 5250.

    Research output: Contribution to journalArticle

  43. Wasserstein distances for estimating parameters in stochastic reaction networks

    Öcal, K., Grima, R. & Sanguinetti, G., 15 Nov 2019, Computational Methods in Systems Biology - 17th International Conference, CMSB 2019, Proceedings. Bortolussi, L. & Sanguinetti, G. (eds.). Springer-Verlag, p. 347-351 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11773 LNBI).

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

  44. Poster: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming

    Wen, Y., Anderson, A., Radu, V., O'Boyle, M. & Gregg, D., 7 Nov 2019, 2019 28th International Conference on Parallel Architectures and Compilation Techniques (PACT). Institute of Electrical and Electronics Engineers (IEEE), p. 488-489 2 p.

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

  45. Neural Field Models for Latent State Inference: Application to Large-Scale Neuronal Recordings

    Rule, M. E., Schnoerr, D., Hennig, M. & Sanguinetti, G., 4 Nov 2019, In : PLoS Computational Biology. 15, 11, p. 1-23 23 p.

    Research output: Contribution to journalArticle

  46. Complexity Leadership in Learning Analytics: Drivers, Challenges, and Opportunities

    Tsai, Y-S., Poquet, O., Gašević, D., Dawson, S. & Pardo, A., 21 Oct 2019, In : British Journal of Educational Technology. 50, 6, p. 2839–2854

    Research output: Contribution to journalArticle

  47. Developmental organization of central neurons in the adult Drosophila ventral nervous system

    Shepherd, D., Sahota, V., Court, R., Williams, D. W. & Truman, J. W., 15 Oct 2019, In : Journal of Comparative Neurology. 527, 15, p. 2573-2598 72 p.

    Research output: Contribution to journalArticle

  48. Dissecting the Shared and Context-Dependent Pathways Mediated by the p140Cap Adaptor Protein in Cancer and in Neurons

    Chapelle, J., Sorokina, O., McLean, C., Salemme, V., Alfieri, A., Angelini, C., Morellato, A., Adrait, A., Menna, E., Matteoli, M., Couté, Y., Ala, U., Turco, E., Defilippi, P. & Armstrong, J. D., 15 Oct 2019, In : Frontiers in Cell and Developmental Biology. 7, 19 p., 222.

    Research output: Contribution to journalArticle

  49. Categorical encoding of decision variables in orbitofrontal cortex

    Onken, A., Xie, J., Panzeri, S. & Padoa-Schioppa, C., 14 Oct 2019, In : PLoS Computational Biology. 15, 10, 27 p., e1006667.

    Research output: Contribution to journalArticle

  50. A modern materialist approach to abstraction, concreteness and explanation in cognition

    Shillcock, R., 11 Oct 2019, (Accepted/In press) In : Behavioral and Brain Sciences. 3 p.

    Research output: Contribution to journalArticle

  51. The Student Expectations of Learning Analytics Questionnaire (SELAQ)

    Whitelock-Wainwright, A., Gasevic, D., Tejeiro, R., Tsai, Y-S. & Bennett, K., Oct 2019, In : Journal of Computer Assisted Learning. 35, 5, p. 633-666 34 p.

    Research output: Contribution to journalArticle

  52. Parametric copula models reveal neuronal and behavioral time-dependent relationships in primary visual cortex

    Kudryashova, N., Amvrosiadis, T., Dupuy, N., Rochefort, N. & Onken, A., 19 Sep 2019. 1 p.

    Research output: Contribution to conferencePoster

  53. Policy Matters: Expert Recommendations for Learning Analytics Policy

    Scheffel, M., Tsai, Y-S., Gasevic, D. & Drachsler, H., 9 Sep 2019, Transforming Learning with Meaningful Technologies. EC-TEL 2019.. Springer, p. 510-524 15 p. (Lecture Notes in Computer Science; vol. 11722).

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

  54. Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition

    Radu, V. & Henne, M., 9 Sep 2019, In : PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3, 3, p. 84:1-84:21 21 p., 84.

    Research output: Contribution to journalArticle

  55. Geometric fluid approximation for general continuous-time Markov chains

    Michaelides, M., Hillston, J. & Sanguinetti, G., Sep 2019, In : Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 475, 2229, 25 p.

    Research output: Contribution to journalArticle

  56. Resolving outbreak dynamics using approximate Bayesian computation for stochastic birth-death models

    Lintusaari, J., Blomstedt, P., Sivula, T., Gutmann, M., Kaski, S. & Corander, J., 30 Aug 2019, In : Wellcome Open Research . 4, 14, 10 p.

    Research output: Contribution to journalArticle

  57. GEMSEC: Graph Embedding with Self Clustering

    Rózemberczki, B., Davies, R., Sarkar, R. & Sutton, C., 27 Aug 2019, ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Spezzano, F., Chen, W. & Xiao, X. (eds.). Association for Computing Machinery (ACM), p. 65-72 8 p.

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

  58. Acquisition of visual priors and induced hallucinations in chronic schizophrenia

    Valton, V., Karvelis, P., Richards, K., Seitz, A. R., Lawrie, S. & Series, P., Aug 2019, In : Brain. 142, 8, p. 2523–2537 35 p., awz171.

    Research output: Contribution to journalArticle

  59. ColNet: Embedding the Semantics of Web Tables for Column Type Prediction

    Chen, J., Jiménez-Ruiz, E., Horrocks, I. & Sutton, C., 23 Jul 2019, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19): Thirty-First Conference on Innovative Applications of Artificial Intelligence The Ninth Symposium on Educational Advances in Artificial Intelligence - AAAI Technical Track: AI and the Web. Honolulu, Hawaii, United States: AAAI Press, Vol. 33. p. 29-36 8 p. (Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence).

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

  60. Riboswitch identification using Ligase-Assisted Selection for the Enrichment of Responsive Ribozymes (LigASERR)

    Haines, M. C., Storch, M., Oyarzún, D. A., Stan, G-B. & Baldwin, G. S., 8 Jul 2019, In : Synthetic Biology.

    Research output: Contribution to journalArticle

  61. BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

    Cooper Stickland, A. & Murray, I., 3 Jul 2019, Proceedings of the 36th International Conference on Machine Learning (ICML). Chaudhuri, K. & Salakhutdinov, R. (eds.). Long Beach, USA: PMLR, Vol. 97. p. 5986-5995 12 p. (PMLR; vol. 97).

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

  62. Cubic-Spline Flows

    Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 15 Jun 2019, First workshop on Invertible Neural Networks and Normalizing Flows: at ICML 2019. 7 p.

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

  63. How do we start? An Approach to Learning Analytics Adoption in Higher Education

    Gasevic, D., Tsai, Y-S., Dawson, S. & Pardo, A., 12 Jun 2019, In : International Journal of Information and Learning Technology. 12 p.

    Research output: Contribution to journalArticle

  64. Model Criticism in Latent Space

    Seth, S., Murray, I. & Williams, C. K. I., 11 Jun 2019, In : Bayesian analysis. 14, 3, p. 703-725 23 p.

    Research output: Contribution to journalArticle

  65. PartCrafter: Find, Generate, and Analyze BioParts

    Scher, E., Cohen, S. & Sanguinetti, G., 4 Jun 2019, In : Synthetic Biology. 4, 1, 12 p.

    Research output: Contribution to journalArticle

  66. Slow NMDA-Mediated Excitation Accelerates Offset-Response Latencies Generated via a Post-Inhibitory Rebound Mechanism

    Rajaram, E., Kaltenbach, C., Fischl, M. J., Mrowka, L., Alexandrova, O., Grothe, B., Hennig, M. H. & Kopp-Scheinpflug, C., 4 Jun 2019, In : eNeuro. 6, 3, 20 p.

    Research output: Contribution to journalArticle

  67. Growth defects and loss-of-function in synthetic gene circuits

    Nikolados, E-M., Weisse, A., Ceroni, F. & Oyarzún, D., 1 Jun 2019, In : ACS Synthetic Biology. 8, 6, p. 1231−1240 10 p.

    Research output: Contribution to journalArticle

  68. Studies on long term behavioural changes in group-housed rat models of brain and spinal cord injury using an automated home cage recording system

    Yip, P. K., Chapman, G. E., Sillito, R. R., Ip, T. H. R., Akhigbe, G., Becker, S. C., Price, A. W., Michael-Titus, A. T., Armstrong, J. D. & Tremoleda, J. L., Jun 2019, In : Journal of Neuroscience Methods. 321, p. 49 - 63 15 p.

    Research output: Contribution to journalArticle

  69. Scaling Spike Detection and Sorting for Next-Generation Electrophysiology

    Hennig, M. H., Hurwitz, C. & Sorbaro, M., 10 May 2019, In Vitro Neuronal Networks: From Culturing Methods to Neuro-Technological Applications. Springer New York LLC, p. 171-184 14 p. (Advances in Neurobiology; vol. 22).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  70. Mode Normalization

    Deecke, L., Murray, I. & Bilen, H., 9 May 2019, Proceedings of the Seventh International Conference on Learning Representations. New Orleans, Louisiana, USA, 12 p.

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

  71. Centre Report 2019: Centre for Research in Digital Education

    Bayne, S., Ewins, A., Evans, P., Gallagher, M., Ghazali-Mohammed, Z., Manches, A., Odai, L., Knox, J., Menzies, J., O'shea, C., Plowman, L., Ross, J., Sowton, C., Robertson, J., Sheail, P., Tsai, Y-S., Wang, Y., Williamson, B., Farrell, K., Lawson, T. & 1 others, Priztker, R., 1 May 2019, The Centre for Research in Digital Education. 21 p.

    Research output: Book/ReportCommissioned report

  72. Adaptive Gaussian Copula ABC

    Chen, Y. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 1584-1592 14 p.

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

  73. Efficient Bayesian Experimental Design for Implicit Models

    Kleinegesse, S. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 476-485 10 p.

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

  74. Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

    Papamakarios, G., C, D. & Murray, I., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019. Naha, Okinawa, Japan: PMLR, Vol. 89. p. 837-848 12 p.

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

  75. Variational Noise-Contrastive Estimation

    Rhodes, B. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 2741-2750 14 p.

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

  76. Inverting Supervised Representations with Autoregressive Neural Density Models

    Nash, C., Kushman, N. & Williams, C. K. I., 18 Apr 2019, Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. Lawrence, N. & Reid, M. (eds.). PMLR, Vol. 89. 10 p. (Proceedings of Machine Learning Research).

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

  77. Multi-Task Time Series Analysis applied to Drug Response Modelling

    Bird, A., Williams, C. K. I. & Hawthorne, C., 18 Apr 2019, Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. Lawrence, N. & Reid, M. (eds.). PMLR, Vol. 89. 10 p. (Proceedings of Machine Learning Research).

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

  78. Dynamic Evaluation of Transformer Language Models

    Krause, B., Mbabazi, E., Murray, I. & Renals, S., 17 Apr 2019, 6 p.

    Research output: Working paper

  79. Practical steps to digital organism models, from laboratory model species to ‘Crops in silico

    Millar, A. J., Urquiza Garcia, J., Freeman, P., Hume, A., Plotkin, G. D., Sorokina, O., Zardilis, A. & Zielinski, T., 15 Apr 2019, In : Journal of Experimental Botany. 70, 9, p. 2403–2418 16 p., JEXBOT/2018/235879.

    Research output: Contribution to journalReview article

  80. Regeneration of dopaminergic neurons in adult zebrafish depends on immune system activation and differs for distinct populations

    Caldwell, L., Davies, N. O., Cavone, L., Mysiak, K., Semenova, S., Panula, P., Armstrong, J. D., Becker, C. G. & Becker, T., 4 Apr 2019, In : Journal of Neuroscience.

    Research output: Contribution to journalArticle

  81. Melissa: Bayesian clustering and imputation of single cell methylomes

    Kapourani, C. A. & Sanguinetti, G., 21 Mar 2019, In : Genome Biology. 20, 1, 15 p., 61.

    Research output: Contribution to journalArticle

  82. Stochastic modelling reveals mechanisms of metabolic heterogeneity

    Tonn, M., Thomas, P., Barahona, M. & Oyarzun, D., 21 Mar 2019, In : Communications biology. 2, 9 p., 108.

    Research output: Contribution to journalArticle

  83. Bayesian Inference of Atomistic Structure in Functional Materials

    Todorovic, M., Gutmann, M., Corander, J. & Rinke, P., 18 Mar 2019, In : npj Computational Materials. 5, 7 p., 35.

    Research output: Contribution to journalArticle

  84. Endoscopic sensing of distal lung physiology

    Choudhury, D., Tanner, M. G., McAughtrie, S., Yu, F., Mills, B., Choudhary, T. R., Seth, S., Craven, T. H., Stone, J. M., Mati, I. K., Campbell, C. J., Bradley, M., Williams, C. K. I., Dhaliwal, K., Birks, T. A. & Thomson, R. R., 18 Mar 2019, In : Journal of Physics: Conference Series. 1151, 9 p., 012009.

    Research output: Contribution to journalArticle

  85. Evolutionary dynamics of residual disease in human glioblastoma

    Spiteri, I., Caravagna, G., Cresswell, G., Vatsiou, A., Nichol, D., Acar, A., Ermini, L., Chkhaidze, K., Werner, B., Mair, R., Brognaro, E., Verhaak, R., Sanguinetti, G., Sara, P., Watts, C. & Sottoriva, A., Mar 2019, In : Annals of oncology. 30, 3, p. 456–463 8 p., mdy506.

    Research output: Contribution to journalArticle

  86. Post-traumatic stress disorder as a disorder of prediction

    Seriès, P., Mar 2019, In : Nature Neuroscience. 22, 3, p. 334-336 3 p.

    Research output: Contribution to journalArticle

  87. Analysis of a genetic-metabolic oscillator with piecewise linear models

    Chaves, M., Oyarzun, D. & Gouze, J-L., 7 Feb 2019, In : Journal of Theoretical Biology. 462, p. 259-269 11 p.

    Research output: Contribution to journalArticle

  88. Are We There Yet? How and When Specific Biotechnologies Will Improve Human Health

    O'Day, E., Hosta‐Rigau, L., Oyarzun, D., Okano, H., de Lorenzo, V., von Kameke, C., Alsafar, H., Cao, C., Chen, G-Q., Ji, W., Roberts, R. J., Ronaghi, M., Yeung, K., Zhang, F. & Lee, S. Y., 10 Jan 2019, In : Biotechnology Journal. 14, 1, p. 1-11 11 p.

    Research output: Contribution to journalArticle

  89. Modelling socio-economic and energy data to generate business-as-usual scenarios for carbon emissions

    Roberts, S. H., Axon, C. J., Goddard, N. H., Foran, B. D. & Warr, B. S., 10 Jan 2019, In : Journal of Cleaner Production. 207, p. 980 - 997 18 p.

    Research output: Contribution to journalArticle

  90. Learning analytics adoption – approaches and maturity

    Tsai, Y-S., Kovanović, V. & Gasevic, D., 3 Jan 2019, (Accepted/In press). 2 p.

    Research output: Contribution to conferencePoster

  91. Probabilistic Programming with Densities in SlicStan: Efficient, Flexible, and Deterministic

    Gorinova, M. I., Gordon, A. D. & Sutton, C., 2 Jan 2019, In : Proceedings of the ACM on Programming Languages (PACMPL). 3, POPL, p. 35:1-35:30 30 p., 35.

    Research output: Contribution to journalArticle

  92. Dynamics of complex feedback architectures in metabolic pathways

    Chaves, M. & Oyarzun, D., 1 Jan 2019, In : Automatica. 99, p. 323-332 10 p.

    Research output: Contribution to journalArticle

  93. EXOTica: An Extensible Optimization Toolset for Prototyping and Benchmarking Motion Planning and Control

    Ivan, V., Yang, Y., Merkt, W., Camilleri, M. P. & Vijayakumar, S., 2019, Robot Operating System (ROS): The Complete Reference (Volume 3). Koubaa, A. (ed.). Cham: Springer International Publishing, p. 211-240 30 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  94. Exploration by random network distillation

    Burda, Y., Edwards, H., Storkey, A. & Klimov, O., 2019. 17 p.

    Research output: Contribution to conferencePaper

  95. Gene Regulatory Network Inference: An Introductory Survey

    Huynh-Thu, V. A. & Sanguinetti, G., 2019, Gene Regulatory Networks: Methods and Protocols. Sanguinetti, G. & Huynh-Thu, V. A. (eds.). New York, NY: Springer New York LLC, p. 1-23 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  96. Gene Regulatory Networks: Methods and Protocols

    Sanguinetti, G. (ed.) & Huynh-Thu, V. A. (ed.), 2019, Humana Press. 285 p. (Methods in Molecular Biology Series Volume; vol. 1883)

    Research output: Book/ReportBook

  97. How to train your MAML

    Antoniou, A., Edwards, H. & Storkey, A., 2019. 11 p.

    Research output: Contribution to conferencePaper

  98. Large-Scale Study of Curiosity-Driven Learning

    Burda, Y., Edwards, H., Pathak, D., Storkey, A., Darrell, T. & Efros, A. A., 2019. 15 p.

    Research output: Contribution to conferencePaper

  99. On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length

    Jastrzębski, S., Kenton, Z., Ballas, N., Fischer, A., Bengio, Y. & Storkey, A., 2019. 19 p.

    Research output: Contribution to conferencePaper

  100. RKappa: Software for Analyzing Rule-Based Models

    Sorokin, A., Sorokina, O. & Douglas Armstrong, J., 2019, Modeling Biomolecular Site Dynamics: Methods and Protocols. Hlavacek, W. S. (ed.). New York, NY: Springer New York LLC, p. 363-390 28 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

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