학술논문

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발행년	- (예 : 2010-2015)

A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis

Academic Journal

Falck, F.; Ghalebikesabi, S.; Nicholson, G.; Zhu, X.; Kormaksson, M.; Martin, R.; Readie, A.; Ligozio, G.; Gandhi, K.K.; Ohlssen, D.; Santos, L.; Mallon, A.-M.; Zhang, C.; Tian, C.; Pang, Y.; Gardiner, S.; Nichols, T.E.; Kwok, C.H.; West, D.M.; Kelly, L.; Vandemeulebroecke, M.

In: Journal of Biomedical Informatics. (Journal of Biomedical Informatics, June 2024, 154)

Full Text (ScienceDirect 종량제) Web of Science JCR 저널정보 Scopus Find it@PNU

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires

Conference

Pradier, M.F.; Prasad, N.; Zazo, J.; Hernandez, J.G.; Meeds, E.; Chapfuwa, P.; Greissl, J.; Ghalebikesabi, S.; Ilse, M.; Woodhouse, S.; Elyanow, R.

In: Proceedings of Machine Learning Research, Proceedings of the 8th Machine Learning for Healthcare Conference, MLHC 2023. (Proceedings of Machine Learning Research, 2023, 219:588-611)

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Differentially Private Statistical Inference through β-Divergence One Posterior Sampling

Conference

Jewson, J.; Ghalebikesabi, S.; Holmes, C.

In: Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. (Advances in Neural Information Processing Systems, 2023, 36)

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A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods

Conference

Wild, V.D.; Ghalebikesabi, S.; Sejdinovic, D.; Knoblauch, J.

In: Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. (Advances in Neural Information Processing Systems, 2023, 36)

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Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates

Conference

Ghalebikesabi, S.; Holmes, C.; Fong, E.; Lehmann, B.

In: Proceedings of Machine Learning Research, Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence, UAI 2023. (Proceedings of Machine Learning Research, 2023, 216:658-668)

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Mitigating Statistical Bias within Differentially Private Synthetic Data

Conference

Ghalebikesabi, S.; Doucet, A.; Holmes, C.; Wilde, H.; Jewson, J.; Vollmer, S.

In: Proceedings of Machine Learning Research, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. (Proceedings of Machine Learning Research, 2022, 180:685-695)

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Mitigating Statistical Bias within Differentially Private Synthetic Data

Conference

Ghalebikesabi, S.; Doucet, A.; Holmes, C.; Wilde, H.; Jewson, J.; Vollmer, S.

In: Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. (Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022, 2022, :696-705)

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Deep Generative Missingness Pattern-Set Mixture Models

Conference

Ghalebikesabi, S.; Cornish, R.; Holmes, C.; Kelly, L.J.

In: Proceedings of Machine Learning Research, Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021. (Proceedings of Machine Learning Research, 2021, 130:3727-3735)

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On Locality of Local Explanation Models

Conference

Ghalebikesabi, S.; Ter-Minassian, L.; Holmes, C.; Diaz-Ordaz, K.

In: Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. (Advances in Neural Information Processing Systems, 2021, 22:18395-18407)

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