Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2017
  2. Efficient low-order approximation of first-passage time distributions

    Schnoerr, D., Cseke, B., Grima, R. & Sanguinetti, G., 20 Nov 2017, In : Physical Review Letters. 5 p., 210601 .

    Research output: Contribution to journalArticle

  3. Proteomic analysis of postsynaptic proteins in regions of the human neocortex

    Roy, M., Sorokina, O., Skene, N., Simonnet, C., Mazzola, F., Zwart, R., Sher, E., Smith, C., Armstrong, J. D. & Grant, S., 4 Dec 2017, In : Nature Neuroscience.

    Research output: Contribution to journalArticle

  4. Interpretable Machine Teaching via Feature Feedback

    Su, S., Chen, Y., Mac Aodha, O., Perona, P. & Yue, Y., 9 Dec 2017. 9 p.

    Research output: Contribution to conferencePaper

  5. Masked Autoregressive Flow for Density Estimation

    Papamakarios, G., Pavlakou, T. & Murray, I., 9 Dec 2017, Advances in Neural Information Processing Systems 30. Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). Long Beach, United States: Curran Associates Inc, p. 2335-2344 10 p.

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

  6. VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

    Srivastava, A., Valkov, L., Russell, C., Gutmann, M. & Sutton, C., 9 Dec 2017, Advances in Neural Information Processing Systems 30 (NIPS 2017). Long Beach, CA, USA: Curran Associates Inc, p. 3308-3318 18 p.

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

  7. 2018
  8. Amortized Inference for Latent Feature Models Using Variational Russian Roulette

    Xu, K., Srivastava, A. & Sutton, C., 2018. 11 p.

    Research output: Contribution to conferencePaper

  9. HOUDINI: Lifelong Learning as Program Synthesis

    Valkov, L., Chaudhari, D., Srivastava, A., Sutton, C. & Chaudhuri, S., 2018, Thirty-second Conference on Neural Information Processing Systems (NIPS 2018). Montreal, Canada, p. 1-12 12 p.

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

  10. Host-circuit interactions explain unexpected behavior of a gene circuit

    Boada, Y., Vignoni, A., Oyarzún, D. & Picó, J., 2018, In : IFAC-PapersOnLine. 51, 19, p. 86 - 89 4 p.

    Research output: Contribution to journalArticle

  11. Moonshine: Distilling with Cheap Convolutions

    Crowley, E., Gray, G. & Storkey, A., 2018, Thirty-second Conference on Neural Information Processing Systems (NIPS 2018). Montreal, Canada, 11 p.

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

  12. Probabilistic Model Checking for Continuous-Time Markov Chains via Sequential Bayesian Inference

    Milios, D., Sanguinetti, G. & Schnoerr, D., 2018, 15th International Conference on Quantitative Evaluation of SysTems (QEST 2018). Beijing, China: Springer, Cham, p. 289-305 17 p.

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