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On evaluation of thermophysical properties of transformer oil-based nanofluids: A comprehensive modeling and experimental study

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On evaluation of thermophysical properties of transformer oil-based nanofluids: A comprehensive modeling and experimental study

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Targeted Conversion of Biomass into Primary Diamines via Carbon Shell-Confined Cobalt Nanoparticles

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A setup for hard x-ray time-resolved resonant inelastic x-ray scattering at SwissFEL

Safe Deep Neural Networks

Innovative thermophysical characterization of an ATF composite cladding: the case of silicon carbide

Gibbs sampling the posterior of neural networks

On the number of regions of piecewise linear neural networks

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Machine Learning for Modeling Stock Returns

Unearthing the foundational role of anharmonicity in heat transport in glasses

Thermal conductivity of Li 3 PS 4 solid electrolytes with ab initio accuracy

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Topics in statistical physics of high-dimensional machine learning

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

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

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