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Publications

Naik, C., Rousseau, J. and Campbell, T. (2023) “Fast Bayesian coresets via subsampling and quasi-Newton refinement”, in Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Curran Associates, pp. 70–83.
Falck, F. et al. (2023) “A multi-resolution framework for U-nets with applications to hierarchical VAEs”, in Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Curran Associates, pp. 15529–15544.
Richardson, T. et al. (2023) “Nested markov properties for acyclic directed mixed graphs”, Annals of Statistics, 51(1), pp. 334–361.
Guérin, A. et al. (2023) “Cryptosporidium uses multiple distinct secretory organelles to interact with and modify its host cell”, Cell Host and Microbe, 31(4), pp. 650 – 664.e6.
Naik, C. et al. (2023) “Bayesian Nonparametrics for Sparse Dynamic Networks”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature, pp. 191–206.
Naik, C. et al. (2023) “Bayesian Nonparametrics for Sparse Dynamic Networks”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature, pp. 191–206.
Naik, C. et al. (2023) “Bayesian Nonparametrics for Sparse Dynamic Networks”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature, pp. 191–206.
Naik, C. et al. (2023) “Bayesian nonparametrics for sparse dynamic networks”, in Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022. Springer Nature, pp. 191–206.
Naik, C. et al. (2023) “Bayesian nonparametrics for sparse dynamic networks”, in Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022. Springer Nature, pp. 191–206.
Naik, C. et al. (2023) “Bayesian nonparametrics for sparse dynamic networks”, in Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022. Springer Nature, pp. 191–206.