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Artur Bekasov
Artur Bekasov
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Title
Cited by
Cited by
Year
Neural spline flows
C Durkan, A Bekasov, I Murray, G Papamakarios
Advances in Neural Information Processing Systems, 7511-7522, 2019
7502019
nflows: normalizing flows in PyTorch
C Durkan, A Bekasov, I Murray, G Papamakarios
https://doi.org/10.5281/zenodo.4296286, 2020
94*2020
Cubic-Spline Flows
C Durkan, A Bekasov, I Murray, G Papamakarios
arXiv preprint arXiv:1906.02145, 2019
93*2019
Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting
A Bekasov, I Murray
arXiv preprint arXiv:1811.12335, 2018
222018
Ordering Dimensions with Nested Dropout Normalizing Flows
A Bekasov, I Murray
arXiv preprint arXiv:2006.08777, 2020
92020
Learning action embeddings for off-policy evaluation
M Cief, J Golebiowski, P Schmidt, Z Abedjan, A Bekasov
European Conference on Information Retrieval, 108-122, 2024
32024
Variational boosted soft trees
T Cinquin, T Rukat, P Schmidt, M Wistuba, A Bekasov
International Conference on Artificial Intelligence and Statistics, 5787-5801, 2023
12023
Accurate and reliable probabilistic modeling with high-dimensional data
A Bekasov
The University of Edinburgh, 2022
2022
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