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Stratis Markou
Stratis Markou
PhD Student in Machine Learning at the University of Cambridge
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Practical Conditional Neural Processes Via Tractable Dependent Predictions
S Markou, J Requeima, W Bruinsma, A Vaughan, RE Turner
International Conference on Learning Representations, 2021
202021
Fast relative entropy coding with A* coding
G Flamich, S Markou, JM HernŠndez-Lobato
International Conference on Machine Learning, 2022
182022
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
12*2023
Autoregressive Conditional Neural Processes
W Bruinsma, S Markou, J Requeima, AYK Foong, A Vaughan, ...
International Conference on Learning Representations, 2023
102023
Efficient gaussian neural processes for regression
S Markou, J Requeima, W Bruinsma, R Turner
arXiv preprint arXiv:2108.09676, 2021
102021
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
52022
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement
TR Andersson, WP Bruinsma, S Markou, DC Jones, JS Hosking, ...
arXiv preprint arXiv:2211.10381, 2022
32022
Faster relative entropy coding with greedy rejection coding
G Flamich, S Markou, JMH Lobato
arXiv preprint arXiv:2309.15746, 2023
22023
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
12023
Notes on the runtime of A* sampling
S Markou
arXiv preprint arXiv:2205.15250, 2022
12022
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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Articles 1–11