Fast relative entropy coding with A* coding G Flamich, S Markou, JM Hernández-Lobato International Conference on Machine Learning, 2022 | 22 | 2022 |
Practical Conditional Neural Processes Via Tractable Dependent Predictions S Markou, J Requeima, W Bruinsma, A Vaughan, RE Turner International Conference on Learning Representations, 2021 | 21 | 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 | 15* | 2023 |
Autoregressive Conditional Neural Processes W Bruinsma, S Markou, J Requeima, AYK Foong, A Vaughan, ... International Conference on Learning Representations, 2023 | 15 | 2023 |
Efficient gaussian neural processes for regression S Markou, J Requeima, W Bruinsma, R Turner arXiv preprint arXiv:2108.09676, 2021 | 9 | 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 | 8 | 2022 |
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 | 5* | 2023 |
Faster relative entropy coding with greedy rejection coding G Flamich, S Markou, JMH Lobato arXiv preprint arXiv:2309.15746, 2023 | 3 | 2023 |
Notes on the runtime of A* sampling S Markou arXiv preprint arXiv:2205.15250, 2022 | 1 | 2022 |
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 | | 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 | | 2024 |