Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2020
  2. Sequential Bayesian Experimental Design for Implicit Models via Mutual Information

    Kleinegesse, S., Drovandi, C. & Gutmann, M. U., 31 Jul 2020, In : Bayesian analysis. p. 1-30 30 p.

    Research output: Contribution to journalArticle

  3. 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., 31 Jul 2020, In : British Journal of Educational Technology. 51, 4, p. 915–937 23 p.

    Research output: Contribution to journalArticle

  4. A stochastic model of gene expression with polymerase recruitment and pause release

    Cao, E., Filatova, T., Oyarzún, D. A. & Grima, R., 23 Jul 2020, (Accepted/In press) In : Biophysical Journal. 15 p.

    Research output: Contribution to journalArticle

  5. Diverse Ensembles Improve Calibration

    Cooper Stickland, A. & Murray, I., 1 Jul 2020, (Accepted/In press) ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning. 6 p.

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

  6. Stir to Pour: Efficient Calibration of Liquid Properties for Pouring Actions

    Lopez Guevara, T., Pucci, R., Taylor, N., Gutmann, M. U., Ramamoorthy, R. & Subr, K., 1 Jul 2020, (Accepted/In press) Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020). 7 p.

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

  7. Temporal dissociation of phencyclidine: Induced locomotor and social alterations in rats using an automated homecage monitoring system – implications for the 3Rs and preclinical drug discovery

    Mitchell, E. J., Brett, R. R., Armstrong, J. D., Sillito, R. R. & Pratt, J. A., 1 Jul 2020, In : Journal of Psychopharmacology. 34, 7, p. 709-715 7 p.

    Research output: Contribution to journalArticle

  8. Density Deconvolution with Normalizing Flows

    Dockhorn, T., Ritchie, J. A., Yu, Y. & Murray, I., 29 Jun 2020, (Accepted/In press) Second workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (ICML 2020). 8 p.

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

  9. Ordering Dimensions with Nested Dropout Normalizing Flows

    Bekasovs, A. & Murray, I., 29 Jun 2020, (Accepted/In press) Second workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (ICML 2020). 6 p.

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

  10. Self-restoration of cardiac excitation rhythm by anti-arrhythmic ion channel gating

    Majumder, R., De Coster, T., Kudryashova, N., Verkerk, A. O., Kazbanov, I. V., Ördög, B., Harlaar, N., Wilders, R., de Vries, A. AF., Ypey, D. L., Panfilov, A. V. & Pijnappels, D. A., 25 Jun 2020, In : eLIFE. 9, 23 p., e55921.

    Research output: Contribution to journalArticle

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

    Shillcock, R., 19 Jun 2020, In : Behavioral and Brain Sciences. 43, e148.

    Research output: Contribution to journalArticle

  12. Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation

    Kleinegesse, S. & Gutmann, M., 1 Jun 2020, (Accepted/In press) Proceedings of the 37th International Conference on Machine Learning (ICML) 2020. PMLR, p. 7289-7299 11 p.

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

  13. On Contrastive Learning for Likelihood-free Inference

    Durkan, C., Murray, I. & Papamakarios, G., 31 May 2020, (Accepted/In press) Proceedings of the 37th International Conference on Machine Learning. PMLR, 15 p. (Proceedings of Machine Learning Research; vol. 119).

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

  14. ptype: probabilistic type inference

    Ceritli, T., Williams, C. K. I. & Geddes, J., 31 May 2020, In : Data Mining and Knowledge Discovery. 34, 3, p. 870-904 35 p.

    Research output: Contribution to journalArticle

  15. 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. 155, 16 p., 103933.

    Research output: Contribution to journalArticle

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. Learning Direct Optimization for scene understanding

    Romaszko, L., Williams, C. K. I. & Winn, J., 23 Apr 2020, In : Pattern Recognition. 105, 13 p., 107369.

    Research output: Contribution to journalArticle

  22. Heart Cells are aMAZEing

    Kudryashova, N. & Panfilov, A., 17 Apr 2020, The Art of Theoretical Biology. Matthäus, F., Matthäus, S., Harris, S. & Hillen, T. (eds.). Cham: Springer International Publishing, p. 138-139 2 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  23. Lost in the Cells

    Kudryashova, N. & Panfilov, A., 17 Apr 2020, The Art of Theoretical Biology. Matthäus, F., Matthäus, S., Harris, S. & Hillen, T. (eds.). Cham: Springer International Publishing, p. 78-79 2 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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). Orlando, FL, USA: Institute of Electrical and Electronics Engineers (IEEE), p. 24-34 11 p.

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

  33. 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

  34. 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

  35. Parametric Copula-GP model reveals tuning of neuronal and behavioral relationships to visual stimuli

    Kudryashova, N., Amvrosiadis, T., Dupuy, N., Rochefort, N. & Onken, A., 1 Mar 2020. 1 p.

    Research output: Contribution to conferencePoster

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 2019
  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. Scalable Extreme Deconvolution

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

    Research output: Contribution to conferencePoster

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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

  60. 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

  61. 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

  62. 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

  63. 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

  64. 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

  65. 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

  66. 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

  67. 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

  68. 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

  69. 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

  70. 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

  71. 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

  72. 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

  73. 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

  74. 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

  75. 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. (Proceedings of Machine Learning Research; vol. 97).

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

  76. 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

  77. 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

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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

  83. 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

  84. Mode Normalization

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

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

  85. 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

  86. 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. (Proceedings of Machine Learning Research; vol. 89).

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

  87. 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. (Proceedings of Machine Learning Research; vol. 89).

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

  88. 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. (Proceedings of Machine Learning Research; vol. 89).

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

  89. 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. (Proceedings of Machine Learning Research; vol. 89).

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

  90. 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; vol. 89).

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

  91. 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; vol. 89).

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

  92. Dynamic Evaluation of Transformer Language Models

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

    Research output: Working paper

  93. 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

  94. 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

  95. 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

  96. 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

  97. 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

  98. 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

  99. 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

  100. 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

  101. 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

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