Stratis Markou

According to our database, Stratis Markou authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Noise-Aware Differentially Private Regression via Meta-Learning.

Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner

CoRR, 2024

Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport.

Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E. Turner, Adrian Weller

CoRR, 2024

Aardvark Weather: end-to-end data-driven weather forecasting.

Anna Vaughan, Stratis Markou, Will Tebbutt, James Requeima, Wessel P. Bruinsma, Tom R. Andersson, Michael Herzog, Nicholas D. Lane, J. Scott Hosking, Richard E. Turner

CoRR, 2024

Denoising Diffusion Probabilistic Models in Six Simple Steps.

Richard E. Turner, Cristiana-Diana Diaconu, Stratis Markou, Aliaksandra Shysheya, Andrew Y. K. Foong, Bruno Mlodozeniec

CoRR, 2024

Translation Equivariant Transformer Neural Processes.

Matthew Ashman, Cristiana Diaconu, Junhyuck Kim, Lakee Sivaraya, Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow.

Victor Picheny, Joel Berkeley, Henry B. Moss, Hrvoje Stojic, Uri Granta, Sebastian W. Ober, Artem Artemev, Khurram Ghani, Alexander Goodall, Andrei Paleyes, Sattar Vakili, Sergio Pascual-Diaz, Stratis Markou, Jixiang Qing, Nasrulloh R. B. S. Loka, Ivo Couckuyt

CoRR, 2023

Faster Relative Entropy Coding with Greedy Rejection Coding.

Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Autoregressive Conditional Neural Processes.

Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement.

Tom R. Andersson, Wessel P. Bruinsma, Stratis Markou, James Requeima, Alejandro Coca-Castro, Anna Vaughan, Anna-Louise Ellis, Matthew Lazzara, Daniel C. Jones, J. Scott Hosking, Richard E. Turner

CoRR, 2022

Practical Conditional Neural Processes Via Tractable Dependent Predictions.

Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner

CoRR, 2022

Fast Relative Entropy Coding with A* coding.

Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato

Proceedings of the International Conference on Machine Learning, 2022

Practical Conditional Neural Process Via Tractable Dependent Predictions.

Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Efficient Gaussian Neural Processes for Regression.

Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner

CoRR, 2021