Stratis Markou

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Run Length Coding

Weather Forecasting

Top Venues

Publications

Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner
Noise-Aware Differentially Private Regression via Meta-Learning. CoRR (2024)
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
Aardvark Weather: end-to-end data-driven weather forecasting. CoRR (2024)
Matthew Ashman, Cristiana Diaconu, Junhyuck Kim, Lakee Sivaraya, Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner
Translation Equivariant Transformer Neural Processes. CoRR (2024)
Richard E. Turner, Cristiana-Diana Diaconu, Stratis Markou, Aliaksandra Shysheya, Andrew Y. K. Foong, Bruno Mlodozeniec
Denoising Diffusion Probabilistic Models in Six Simple Steps. CoRR (2024)
Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E. Turner, Adrian Weller
Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport. CoRR (2024)
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
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow. CoRR (2023)
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
Faster Relative Entropy Coding with Greedy Rejection Coding. CoRR (2023)
Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner
Autoregressive Conditional Neural Processes. ICLR (2023)
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
Faster Relative Entropy Coding with Greedy Rejection Coding. NeurIPS (2023)
Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner
Autoregressive Conditional Neural Processes. CoRR (2023)
Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner
Practical Conditional Neural Process Via Tractable Dependent Predictions. ICLR (2022)
Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner
Practical Conditional Neural Processes Via Tractable Dependent Predictions. CoRR (2022)
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
Fast Relative Entropy Coding with A* coding. ICML (2022)
Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato
Fast Relative Entropy Coding with A* coding. CoRR (2022)
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
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement. CoRR (2022)
Stratis Markou, James Requeima, Wessel Bruinsma, Richard E. Turner
Efficient Gaussian Neural Processes for Regression. CoRR (2021)