Multi-Objective Management of Multiprocessor Systems: From Heuristics to Reinforcement Learning

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Multi-Objective Management of Multiprocessor Systems: From Heuristics to Reinforcement Learning

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Performance of energy piles foundation in hot-dominated climate: A case study in Dubai

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Robust NAS under adversarial training: benchmark, theory, and beyond

Decomposition method to evaluate district heating/cooling network potential at urban scale

Towards practical reinforcement learning for tokamak magnetic control

Predicting the long-term collective behaviour of fish pairs with deep learning

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Topics in statistical physics of high-dimensional machine learning

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

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Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Flash Melting Amorphous Ice

Interpretative 3D MHD modelling of deuterium SPI into a JET H-mode plasma

Unveiling the complexity of learning and decision-making

Partial discharge localization in power transformer tanks using machine learning methods