Unsupervised Learning of Phase-Change-Based Neuromorphic Systems

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Unsupervised Learning of Phase-Change-Based Neuromorphic Systems

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X-ray Micro-CT based characterization of rock cuttings with deep learning

Comparison of Reservoir Computing topologies using the Recurrent Kernel approach

A coordinate transformation-based physics-informed neural networks for hyperbolic conservation laws

Robust semantic learning for precise medical image segmentation

Enhancing wearable sensor data analysis for patient health monitoring using allied data disparity technique and multi instance ensemble perceptron learning

Galerkin neural network-POD for acoustic and electromagnetic wave propagation in parametric domains

Keypoint Promptable Re-Identification

Learning Unitaries with Quantum Statistical Queries

Topics in statistical physics of high-dimensional machine learning

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Robust machine learning for neuroscientific inference

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

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Fast adaptation to rule switching using neuronal surprise

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

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Random matrix methods for high-dimensional machine learning models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Safe Deep Neural Networks