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Found 5 papers, 0 papers with code
Bayesian inference and neural estimation of acoustic wave propagation
In this work, we introduce a novel framework which combines physics and machine learning methods to analyse acoustic signals.
Classification via score-based generative modelling
In this work, we investigated the application of score-based gradient learning in discriminative and generative classification settings.
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS
We then argue that attacker-defender fixed points are themselves general-sum games with complex phase transitions, and introduce a temporally extended multi-agent reinforcement learning framework in which the resultant dynamics can be studied.
A Sequential Modelling Approach for Indoor Temperature Prediction and Heating Control in Smart Buildings
The rising availability of large volume data, along with increasing computing power, has enabled a wide application of statistical Machine Learning (ML) algorithms in the domains of Cyber-Physical Systems (CPS), Internet of Things (IoT) and Smart Building Networks (SBN).
Sensor Selection and Random Field Reconstruction for Robust and Cost-effective Heterogeneous Weather Sensor Networks for the Developing World
Next, building on the S-BLUE, we address the second problem, and develop an efficient algorithm for query based sensor set selection with performance guarantee.
