Deep Image Restoration: Between Data Fidelity and Learned Priors

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Deep Image Restoration: Between Data Fidelity and Learned Priors

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Optimizing Dynamic Aperture Studies with Active Learning

Topics in statistical physics of high-dimensional machine learning

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Towards Trustworthy Deep Learning for Image Reconstruction

Enabling Uncertainty Estimation in Iterative Neural Networks

Gibbs sampling the posterior of neural networks

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

Sparse autoregressive neural networks for classical spin systems

Understanding generalization and robustness in modern deep learning

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications