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Topics in statistical physics of high-dimensional machine learning

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Topics in statistical physics of high-dimensional machine learning

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Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

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

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Optimizing Dynamic Aperture Studies with Active Learning

On the Generalization of Stochastic Gradient Descent with Momentum

Driving and suppressing the human language network using large language models

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model

On the number of regions of piecewise linear neural networks

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

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