Song, Andrew H.

8 publications

ICLR 2026 Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning Daniel Shao, Joel Runevic, Richard J. Chen, Drew FK Williamson, Ahrong Kim, Andrew H. Song, Faisal Mahmood

ICML 2025 Do Multiple Instance Learning Models Transfer? Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu, Tong Ding, Faisal Mahmood

NeurIPS 2024 HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag J. Vaidya, Richard J. Chen, Drew F.K. Williamson, Ahrong Kim, Faisal Mahmood

CVPR 2024 Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology Andrew H. Song, Richard J. Chen, Tong Ding, Drew F.K. Williamson, Guillaume Jaume, Faisal Mahmood

ICML 2024 Multimodal Prototyping for Cancer Survival Prediction Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag Jayant Vaidya, Alexander Baras, Faisal Mahmood

CVPR 2024 Transcriptomics-Guided Slide Representation Learning in Computational Pathology Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F.K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood

CVPRW 2024 Triage of 3D Pathology Data via 2.5d Multiple-Instance Learning to Guide Pathologist Assessments Gan Gao, Andrew H. Song, Fiona Wang, David Brenes, Rui Wang, Sarah S. L. Chow, Kevin W. Bishop, Lawrence D. true, Faisal Mahmood, Jonathan T. C. Liu

UAI 2021 PLSO: A Generative Framework for Decomposing Nonstationary Time-Series into Piecewise Stationary Oscillatory Components Andrew H. Song, Demba Ba, Emery N. Brown