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Career

· Research Scientist, Google DeepMind

Publications (17)

End-to-end data-driven weather prediction
Nature · 2025
73
cited
Fast Relative Entropy Coding with A* coding
International Conference on Machine Learning · 2022
38
cited
Autoregressive Conditional Neural Processes
International Conference on Learning Representations · 2023
32
cited
Practical Conditional Neural Processes Via Tractable Dependent Predictions
arXiv.org · 2022
29
cited
Skillful joint probabilistic weather forecasting from marginals
arXiv.org · 2025
27
cited
Aardvark Weather: end-to-end data-driven weather forecasting
arXiv.org · 2024
26
cited
Environmental sensor placement with convolutional Gaussian neural processes
Environmental Data Science · 2022
25
cited
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
arXiv.org · 2023
23
cited
Denoising Diffusion Probabilistic Models in Six Simple Steps
arXiv.org · 2024
14
cited
Faster Relative Entropy Coding with Greedy Rejection Coding
Neural Information Processing Systems · 2023
13
cited
Efficient Gaussian Neural Processes for Regression
arXiv.org · 2021
10
cited
Translation Equivariant Transformer Neural Processes
International Conference on Machine Learning · 2024
9
cited
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement
arXiv.org · 2022
4
cited
Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport
International Conference on Learning Representations · 2024
2
cited
Noise-Aware Differentially Private Regression via Meta-Learning
Neural Information Processing Systems · 2024
1
cited
Notes on the runtime of A* sampling
2022
1
cited
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Stratis Markou | Researcher Profile | Sotabase | Sotabase