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Francisco M Castro-Macías

2 accepted papers

2026

Conditional Diffusion Sampling

ICML 2026poster

Sampling from unnormalized multimodal distributions with limited density evaluations remains a fundamental challenge in machine learning and natural sciences. Successful approaches construct a bridge between a tractable reference and the target distribution. Parallel Tempering (PT) serves as the gol…

Cited by 0SourceScholar
2024

Sm: enhanced localization in Multiple Instance Learning for medical imaging classification

NeurIPS 2024poster

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 seeks predictions at both bag and instance levels (classification and localization tasks, respectively). Early MIL methods…