Search Results - Haitz Saez de Ocariz Borde

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  1. 1
    DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer

    DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer by Wu, Yizhe, Saez de Ocariz Borde, Haitz, Collins, Jack, Jones, Oiwi Parker, Posner, Ingmar

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  2. 2
    Capacity bounds for hyperbolic neural network representations of latent tree structures

    Capacity bounds for hyperbolic neural network representations of latent tree structures by Kratsios, Anastasis, Hong, Ruiyang, Sáez de Ocáriz Borde, Haitz

    Published in Neural networks
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  3. 3
    Convolutional neural network models and interpretability for the anisotropic reynolds stress tensor in turbulent one-dimensional flows

    Convolutional neural network models and interpretability for the anisotropic reynolds stress tensor in turbulent one-dimensional flows by Sáez de Ocáriz Borde, Haitz, Sondak, David, Protopapas, Pavlos

    Published in Journal of turbulence
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  4. 4
    Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization

    Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization by Haitz Saez de Ocariz Borde, Arroyo, Alvaro, Morales, Ismael, Posner, Ingmar, Dong, Xiaowen

    Published in arXiv.org
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  5. 5
    Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces

    Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces by Haitz Saez de Ocariz Borde, Arroyo, Alvaro, Morales, Ismael, Posner, Ingmar, Dong, Xiaowen

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  6. 6
    Convolutional Neural Network Models and Interpretability for the Anisotropic Reynolds Stress Tensor in Turbulent One-dimensional Flows

    Convolutional Neural Network Models and Interpretability for the Anisotropic Reynolds Stress Tensor in Turbulent One-dimensional Flows by Haitz Sáez de Ocáriz Borde, Sondak, David, Protopapas, Pavlos

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  7. 7
    Interpretability in deep learning for finance: a case study for the Heston model

    Interpretability in deep learning for finance: a case study for the Heston model by Brigo, Damiano, Huang, Xiaoshan, Pallavicini, Andrea, Haitz Saez de Ocariz Borde

    Published in arXiv.org
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  8. 8
    Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries

    Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries by Haitz Sáez de Ocáriz Borde, Kratsios, Anastasis

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  9. 9
    Latent Space based Memory Replay for Continual Learning in Artificial Neural Networks

    Latent Space based Memory Replay for Continual Learning in Artificial Neural Networks by Haitz Sáez de Ocáriz Borde

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  10. 10
    Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression

    Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression by Haitz Sáez de Ocáriz Borde, Barbero, Federico

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  11. 11
    AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference

    AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference by Lu, Yuan, Haitz Sáez de Ocáriz Borde, Liò, Pietro

    Published in arXiv.org
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  12. 12
    Closed-Form Diffusion Models

    Closed-Form Diffusion Models by Scarvelis, Christopher, Haitz Sáez de Ocáriz Borde, Solomon, Justin

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  13. 13
    Capacity Bounds for Hyperbolic Neural Network Representations of Latent Tree Structures

    Capacity Bounds for Hyperbolic Neural Network Representations of Latent Tree Structures by Kratsios, Anastasis, Hong, Ruiyang, Haitz Sáez de Ocáriz Borde

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  14. 14
    Projections of Model Spaces for Latent Graph Inference

    Projections of Model Spaces for Latent Graph Inference by Haitz Sáez de Ocáriz Borde, Arroyo, Álvaro, Posner, Ingmar

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  15. 15
    Aerothermodynamic Simulators for Rocket Design using Neural Fields

    Aerothermodynamic Simulators for Rocket Design using Neural Fields by Haitz Sáez de Ocáriz Borde, Innocenzi, Pietro, Savarino, Flavio

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  16. 16
    Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning

    Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning by Haitz Sáez de Ocáriz Borde, Lukoianov, Artem, Kratsios, Anastasis, Bronstein, Michael, Dong, Xiaowen

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  17. 17
    Neural Spacetimes for DAG Representation Learning

    Neural Spacetimes for DAG Representation Learning by Haitz Sáez de Ocáriz Borde, Kratsios, Anastasis, Law, Marc T, Dong, Xiaowen, Bronstein, Michael

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  18. 18
    Metric Learning for Clifford Group Equivariant Neural Networks

    Metric Learning for Clifford Group Equivariant Neural Networks by Ali, Riccardo, Kulytė, Paulina, Haitz Sáez de Ocáriz Borde, Liò, Pietro

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  19. 19
    DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer

    DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer by Wu, Yizhe, Haitz Sáez de Ocáriz Borde, Collins, Jack, Oiwi Parker Jones, Posner, Ingmar

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  20. 20
    Breaking the Curse of Dimensionality with Distributed Neural Computation

    Breaking the Curse of Dimensionality with Distributed Neural Computation by Haitz Sáez de Ocáriz Borde, Furuya, Takashi, Kratsios, Anastasis, Law, Marc T

    Published in arXiv.org
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