15 citations · 17 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…
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images
Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato +1
In the last years, the weakly supervised paradigm of multiple instance learning (MIL) has become very popular in many different areas. A paradigmatic example is computational patho…