4 papers
Conditional Diffusion Sampling
Francisco M. Castro-MacÃas, Pablo Morales-Ãlvarez, Saifuddin Syed +3
Sampling from unnormalized multimodal distributions with limited density evaluations remains a fundamental challenge in machine learning and natural sciences. Successful approaches…
Improving the Linearized Laplace Approximation via Quadratic Approximations
Pedro Jiménez, Luis A. Ortega, Pablo Morales-Ãlvarez +1
Deep neural networks (DNNs) often produce overconfident out-of-distribution predictions, motivating Bayesian uncertainty quantification. The Linearized Laplace Approximation (LLA)…
torchmil: A PyTorch-based library for deep Multiple Instance Learning
Francisco M. Castro-MacÃas, Francisco J. Sáez-Maldonado, Pablo Morales-Ãlvarez +1
Multiple Instance Learning (MIL) is a powerful framework for weakly supervised learning, particularly useful when fine-grained annotations are unavailable. Despite growing interest…
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
Francisco M. Castro-MacÃas, Pablo Morales-Ãlvarez, Yunan Wu +2
Multiple Instance Learning (MIL) is widely used in medical imaging classification to reduce the labeling effort. While only bag labels are available for training, one typically see…