Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

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Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

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Person Re-Identification and its Application to Multi-Object Tracking

Random matrix methods for high-dimensional machine learning models

SaliencyMix plus : Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation

Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks

LIONHEART: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles

Machine Learning for Modeling Stock Returns

Overcoming Distribution Shifts and Imbalance Challenges in Representation Learning for Deep Regression Models

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Driving and suppressing the human language network using large language models

Gibbs sampling the posterior of neural networks

Sequential Reasoning with Socially Caused Beliefs

Factor-graph Optimisation with Vehicle Dynamic Models for Mapping & Sensing Applications

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