Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2019
  2. Empowering learners with personalised learning approaches? Agency, equity and transparency in the context of learning analytics

    Tsai, Y-S., Perrotta, C. & Gasevic, D., 25 Nov 2019, In : Assessment & Evaluation in Higher Education. p. 1-14 23 p.

    Research output: Contribution to journalArticle

  3. 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., 21 Nov 2019, In : Molecular Neurobiology. 14 p.

    Research output: Contribution to journalArticle

  4. Parameter estimation for biochemical reaction networks using Wasserstein distances

    Öcal, K., Grima, R. & Sanguinetti, G., 18 Nov 2019, (Accepted/In press) In : Journal of Physics A: Mathematical and Theoretical. 24 p.

    Research output: Contribution to journalArticle

  5. 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). IEEE, p. 488-489 2 p.

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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Scalable Extreme Deconvolution

    Ritchie, J. & Murray, I., 2 Oct 2019, (Accepted/In press) Proceedings of the Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019). Neural Information Processing Systems, 7 p.

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

  11. 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., 1 Oct 2019, (Accepted/In press) In : Journal of Computer Assisted Learning. 53 p.

    Research output: Contribution to journalArticle

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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., 4 Sep 2019, (Accepted/In press) Advances in Neural Information Processing Systems 32 (NIPS 2019). Neural Information Processing Systems, Vol. 32. 23 p.

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

  17. Neural Spline Flows

    Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 3 Sep 2019, (Accepted/In press) Advances in Neural Information Processing Systems 32 (NeurIPS 2019). Neural Information Processing Systems, 18 p.

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

  18. 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

  19. 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., 15 Aug 2019, (Accepted/In press) 2019 IEEE International Symposium on Workload Characterization (IISWC). IEEE, 11 p.

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

  20. 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

  21. 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

  22. Digging Into Self-Supervised Monocular Depth Estimation

    Godard, C., Mac Aodha, O., Firman, M. & Brostow, G. J., 22 Jul 2019, (Accepted/In press) The IEEE International Conference on Computer Vision (ICCV). Institute of Electrical and Electronics Engineers (IEEE), 11 p.

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

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

    Mac Aodha, O., Cole, E. & Perona, P., 22 Jul 2019, (Accepted/In press) The IEEE International Conference on Computer Vision (ICCV). Institute of Electrical and Electronics Engineers (IEEE), 11 p.

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

  24. 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

  25. 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

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

    Wei, X. & Radu, V., 30 Jun 2019, (Accepted/In press) 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 8 p.

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

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

    Cosma, A., Radoi, I. E. & Radu, V., 30 Jun 2019, (Accepted/In press) 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 8 p.

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

  28. GEMSEC: Graph Embedding with Self Clustering

    Rózemberczki, B., Davies, R., Sarkar, R. & Sutton, C., 20 Jun 2019, (Accepted/In press) Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2019. 8 p.

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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. Multiobjective optimization of gene circuits for metabolic engineering

    Otero-Muras, I., Mannan, A. A., Banga, J. R. & Oyarzún, D. A., 1 Jun 2019, (Accepted/In press) Proceedings of Foundations of Systems Biology and Engineering (FOSBE).

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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. Dynamic Evaluation of Transformer Language Models

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

    Research output: Working paper

  46. 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

  47. 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

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

    Michaelides, M., Hillston, J. & Sanguinetti, G., 4 Apr 2019, (Accepted/In press) In : ACM Transactions on Modeling and Computer Simulation. 28 p.

    Research output: Contribution to journalArticle

  49. Developmental Organisation of Central Neurons in the Adult Drosophila Ventral Nervous System

    Shepherd, D., Sahota, V., Court, R., Williams, D. & Truman, J., 28 Mar 2019, In : Journal of Comparative Neurology. 72 p.

    Research output: Contribution to journalArticle

  50. 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

  51. 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

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