Analytical and Machine Learning Methods for the Complete Safe Coordination of Astrobot Swarms

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Analytical and Machine Learning Methods for the Complete Safe Coordination of Astrobot Swarms

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Topics in statistical physics of high-dimensional machine learning

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

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

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Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Fiducial-cosmology-dependent systematics for the DESI 2024 BAO analysis

Machine Learning for Modeling Stock Returns

Self-supervised and few-shot learning for robust bioaerosol monitoring

Digital Twins of Stone Masonry Buildings for Damage Assessment

Posterior-Based Analysis of Spatio-Temporal Features for Sign Language Assessment

Probing the latent hierarchical structure of data via diffusion models

GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence

On-device diagnostic recommendation with heterogeneous federated BlockNets

Understanding generalization and robustness in modern deep learning

Context selectivity with dynamic availability enables lifelong continual learning

Machine learning-aided generative molecular design

Integrating Physics and Topology in Neural Networks for Learning Rigid Body Dynamics

Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus