Search Results - Markou, Stratis

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  1. 1
    Environmental sensor placement with convolutional Gaussian neural processes

    Environmental sensor placement with convolutional Gaussian neural processes by Andersson, Tom R., Bruinsma, Wessel P., Markou, Stratis, Requeima, James, Coca-Castro, Alejandro, Vaughan, Anna, Ellis, Anna-Louise, Lazzara, Matthew A., Jones, Dani, Hosking, Scott, Turner, Richard E.

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  2. 2
    Notes on the runtime of A sampling

    Notes on the runtime of A sampling by Markou, Stratis

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  3. 3
    Faster Relative Entropy Coding with Greedy Rejection Coding

    Faster Relative Entropy Coding with Greedy Rejection Coding by Flamich, Gergely, Markou, Stratis, Jose Miguel Hernandez Lobato

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  4. 4
    Variance-Reducing Couplings for Random Features

    Variance-Reducing Couplings for Random Features by Reid, Isaac, Markou, Stratis, Choromanski, Krzysztof, Turner, Richard E, Weller, Adrian

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  5. 5
    Noise-Aware Differentially Private Regression via Meta-Learning

    Noise-Aware Differentially Private Regression via Meta-Learning by Räisä, Ossi, Markou, Stratis, Ashman, Matthew, Bruinsma, Wessel P, Tobaben, Marlon, Honkela, Antti, Turner, Richard E

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  6. 6
    Fast Relative Entropy Coding with A coding

    Fast Relative Entropy Coding with A coding by Flamich, Gergely, Markou, Stratis, José Miguel Hernández-Lobato

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  7. 7
    Denoising Diffusion Probabilistic Models in Six Simple Steps

    Denoising Diffusion Probabilistic Models in Six Simple Steps by Turner, Richard E, Cristiana-Diana Diaconu, Markou, Stratis, Shysheya, Aliaksandra, Foong, Andrew Y K, Mlodozeniec, Bruno

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  8. 8
    Translation Equivariant Transformer Neural Processes

    Translation Equivariant Transformer Neural Processes by Ashman, Matthew, Diaconu, Cristiana, Kim, Junhyuck, Sivaraya, Lakee, Markou, Stratis, Requeima, James, Bruinsma, Wessel P, Turner, Richard E

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  9. 9
    Efficient Gaussian Neural Processes for Regression

    Efficient Gaussian Neural Processes for Regression by Markou, Stratis, Requeima, James, Bruinsma, Wessel, Turner, Richard

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  10. 10
    Aardvark weather: end-to-end data-driven weather forecasting

    Aardvark weather: end-to-end data-driven weather forecasting by Vaughan, Anna, Markou, Stratis, Tebbutt, Will, Requeima, James, Bruinsma, Wessel P, Andersson, Tom R, Herzog, Michael, Lane, Nicholas D, Chantry, Matthew, Hosking, J Scott, Turner, Richard E

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  11. 11
    Practical Conditional Neural Processes Via Tractable Dependent Predictions

    Practical Conditional Neural Processes Via Tractable Dependent Predictions by Markou, Stratis, Requeima, James, Bruinsma, Wessel P, Vaughan, Anna, Turner, Richard E

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  12. 12
    Partitioned Variational Inference: A Framework for Probabilistic Federated Learning

    Partitioned Variational Inference: A Framework for Probabilistic Federated Learning by Ashman, Matthew, Bui, Thang D, Nguyen, Cuong V, Markou, Stratis, Weller, Adrian, Swaroop, Siddharth, Turner, Richard E

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  13. 13
    Autoregressive Conditional Neural Processes

    Autoregressive Conditional Neural Processes by Bruinsma, Wessel P, Markou, Stratis, Requiema, James, Foong, Andrew Y K, Andersson, Tom R, Vaughan, Anna, Buonomo, Anthony, Hosking, J Scott, Turner, Richard E

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  14. 14
    Environmental Sensor Placement with Convolutional Gaussian Neural Processes

    Environmental Sensor Placement with Convolutional Gaussian Neural Processes by Andersson, Tom R, Bruinsma, Wessel P, Markou, Stratis, Requeima, James, Coca-Castro, Alejandro, Vaughan, Anna, Ellis, Anna-Louise, Lazzara, Matthew A, Jones, Dani, Hosking, J Scott, Turner, Richard E

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  15. 15
    Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow

    Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow by Picheny, Victor, Berkeley, Joel, Moss, Henry B, Stojic, Hrvoje, Granta, Uri, Ober, Sebastian W, Artemev, Artem, Ghani, Khurram, Goodall, Alexander, Paleyes, Andrei, Vakili, Sattar, Pascual-Diaz, Sergio, Markou, Stratis, Jixiang Qing, Nasrulloh R B S Loka, Couckuyt, Ivo

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