| Fast relative entropy coding with A* coding G Flamich, S Markou, JM Hernández-Lobato International Conference on Machine Learning, 2022 | 26 | 2022 |
| Autoregressive Conditional Neural Processes W Bruinsma, S Markou, J Requeima, AYK Foong, A Vaughan, ... International Conference on Learning Representations, 2023 | 24 | 2023 |
| Practical Conditional Neural Processes Via Tractable Dependent Predictions S Markou, J Requeima, W Bruinsma, A Vaughan, RE Turner International Conference on Learning Representations, 2021 | 24 | 2021 |
| Trieste: Efficiently exploring the depths of black-box functions with TensorFlow V Picheny, J Berkeley, HB Moss, H Stojic, U Granta, SW Ober, A Artemev, ... arXiv preprint arXiv:2302.08436, 2023 | 20* | 2023 |
| Environmental sensor placement with convolutional Gaussian neural processes TR Andersson, WP Bruinsma, S Markou, J Requeima, A Coca-Castro, ... Environmental Data Science 2, e32, 2023 | 12* | 2023 |
| Efficient gaussian neural processes for regression S Markou, J Requeima, W Bruinsma, R Turner arXiv preprint arXiv:2108.09676, 2021 | 12 | 2021 |
| Partitioned variational inference: A framework for probabilistic federated learning M Ashman, TD Bui, CV Nguyen, S Markou, A Weller, S Swaroop, ... arXiv preprint arXiv:2202.12275, 2022 | 11 | 2022 |
| Faster relative entropy coding with greedy rejection coding G Flamich, S Markou, JMH Lobato arXiv preprint arXiv:2309.15746, 2023 | 6 | 2023 |
| Aardvark Weather: end-to-end data-driven weather forecasting A Vaughan, S Markou, W Tebbutt, J Requeima, WP Bruinsma, ... arXiv preprint arXiv:2404.00411, 2024 | 3 | 2024 |
| Translation Equivariant Transformer Neural Processes M Ashman, C Diaconu, J Kim, L Sivaraya, S Markou, J Requeima, ... arXiv preprint arXiv:2406.12409, 2024 | 2 | 2024 |
| Denoising Diffusion Probabilistic Models in Six Simple Steps RE Turner, CD Diaconu, S Markou, A Shysheya, AYK Foong, ... arXiv preprint arXiv:2402.04384, 2024 | 2 | 2024 |
| Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport I Reid, S Markou, K Choromanski, RE Turner, A Weller arXiv preprint arXiv:2405.16541, 2024 | 1 | 2024 |
| Notes on the runtime of A* sampling S Markou arXiv preprint arXiv:2205.15250, 2022 | 1 | 2022 |
| Noise-Aware Differentially Private Regression via Meta-Learning O Räisä, S Markou, M Ashman, WP Bruinsma, M Tobaben, A Honkela, ... arXiv preprint arXiv:2406.08569, 2024 | | 2024 |
| Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow H Moss, V Picheny, H Stojic, SW Ober, A Artemev, A Paleyes, S Vakili, ... NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 0 | | |
Richard E TurnerProfessor, University of CambridgeZweryfikowany adres z cam.ac.uk
