Obserwuj
Stratis Markou
Stratis Markou
PhD Student in Machine Learning at the University of Cambridge
Zweryfikowany adres z cam.ac.uk - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Practical Conditional Neural Processes Via Tractable Dependent Predictions
S Markou, J Requeima, W Bruinsma, A Vaughan, RE Turner
International Conference on Learning Representations, 2021
212021
Fast relative entropy coding with A* coding
G Flamich, S Markou, JM Hernández-Lobato
International Conference on Machine Learning, 2022
192022
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
152023
Efficient gaussian neural processes for regression
S Markou, J Requeima, W Bruinsma, R Turner
arXiv preprint arXiv:2108.09676, 2021
92021
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
82022
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
22023
Notes on the runtime of A* sampling
S Markou
arXiv preprint arXiv:2205.15250, 2022
12022
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
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