2 citations · 2 across the 4 of their papers we have counts for
4 papers
Conditional Diffusion Sampling
Francisco M. Castro-Macías, Pablo Morales-Álvarez, 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-Macías, Francisco J. Sáez-Maldonado, Pablo Morales-Álvarez +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-Macías, Pablo Morales-Álvarez, 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…
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez +2
Multiple Instance Learning (MIL) has been widely applied to medical imaging diagnosis, where bag labels are known and instance labels inside bags are unknown. Traditional MIL assum…