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Showing 1 to 6 of 6 for “"Adaptive Inference"”.
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Theoretical guarantees and complexity reduction in information planning
… of belief propagation that is suitable for adaptive inference settings. In the first part, we present conditions under which open-loop is equivalent to closed-loop information planning. Furthermore, we provide bounds on the greedy performance for submodular non-monotone functions. We also …
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A Unified Framework for Distributed and Resource-Aware Plant Disease Detection Using Federated and Adaptive Hybrid Deep Learning
… While LR models enable efficient real-time inference, they often lack the representational capacity required to accurately detect complex disease patterns. In contrast, high-resource (HR) models achieve superior detection performance due to their deep architectures but are computationally …
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Resource efficient distributed inference of deep neural networks for Edge AI
… framework for resource-efficient distributed inference of DNNs in Edge AI, built upon three tightly coupled research objectives: asynchronous split inference, adaptive batching for resource efficiency, and tensor compression at the client–server boundary. First, the study introduces an …
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Digital phenotyping through multimodal, unobtrusive sensing
… phenotyping data enables researchers to make inferences regarding users’ physical and mental health at scale, for the first time. However, translating this data into actionable insights requires computational approaches that turn unlabelled, multimodal time-series sensor data into validated …
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Advances in Variational Bayes Theory: Adaptation, Uncertainty Quantification, and Amortization
Variational methods and variational inference have been widely used in statistical physics, Bayesian posterior approximation, and modern generative modeling. At a high level, a variational method transforms an often difficult or intractable inference problem into an optimization problem by …
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Adaptive model inference under computational resource constraints
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01