Mahmood, Faisal

15 publications

ICLR 2025 Composable Interventions for Language Models Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen

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

ICLRW 2024 Composing Knowledge and Compression Interventions for Language Models Arinbjörn Kolbeinsson, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen

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 Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F.K. Williamson, Paul Pu Liang, 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

ECCV 2024 Multistain Pretraining for Slide Representation Learning in Pathology Guillaume Jaume, Anurag J Vaidya, Andrew Zhang, Andrew Song, Richard J Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long P Le, 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

NeurIPS 2023 Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard Chen, Zihao Deng, Nicholas Allen, Randy Auerbach, Faisal Mahmood, Ruslan Salakhutdinov, Louis-Philippe Morency

CVPR 2023 Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood

CVPR 2022 Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood

ICCV 2021 Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F.K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood

ICLRW 2019 Structured Prediction Using cGANs with Fusion Discriminator Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan Yuille