DeepSportradar-v2: a Multi-Sport Computer Vision Dataset for Sport Understandings

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Deploying compute-intensive deep neural networks (DNNs) on resource-constrained end devices has become a prominent trend, enabling localized intelligence. However, efficiently deploying these DNNs at scale poses challenges. To address this, extensive resea ...

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

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-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

Proteins are foundational biomolecules of life playing a crucial role in a myriad of biological processes. Their function often requires interplay with other biomolecules, including proteins themselves. Protein-protein interactions (PPIs) are essential for ...

DeepSportradar-v2: a Multi-Sport Computer Vision Dataset for Sport Understandings

Chattez avec Graph Search

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Quantitative convergence rates for scaling limit of SPDEs with transport noise

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RAPNet: Resolution-Adaptive and Predictive Early Exit Network for Efficient Image Recognition

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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