Browse by UCL people
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Number of items: 3.
Proceedings paper
Duncker, L;
Bohner, G;
Boussard, J;
Sahani, M;
(2019)
Learning interpretable continuous-time models of latent stochastic dynamical systems.
In: Salakhutdinov, Ruslan and Chaudhuri, Kamalika, (eds.)
Proceedings of the 36th International Conference on Machine Learning (ICML 2019).
PMLR (Proceedings of Machine Learning Research): Long Beach, CA, USA.
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Duncker, L;
Sahani, M;
(2018)
Temporal alignment and latent Gaussian process factor inference in population spike trains.
In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and CesaBianchi, N and Garnett, R, (eds.)
Proceedings of Conference on Neural Information Processing Systems 31 (NIPS 2018).
Neural Information Processing Systems (NIPS): Montreal, Canada.
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Thesis
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Duncker, Lea;
(2021)
Dynamical structure in neural population activity.
Doctoral thesis (Ph.D), UCL (University College London).
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