3 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…
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…