Survival Analysis meets Counterfactual Inference. - Paidamoyo Chapfuwa; Serge Assaad; Shuxi Zeng; Michael J. Pencina; Lawrence Carin; Ricardo Henao (CoRR, 2020)

Double Robust Representation Learning for Counterfactual Prediction. - Shuxi Zeng; Serge Assaad; Chenyang Tao; Shounak Datta; Lawrence Carin; Fan Li (CoRR, 2020)

Counterfactual Representation Learning with Balancing Weights. - Serge Assaad; Shuxi Zeng; Chenyang Tao; Shounak Datta; Nikhil Mehta 002; Ricardo Henao; Fan Li; Lawrence Carin (AISTATS, 2021)

Enabling counterfactual survival analysis with balanced representations. - Paidamoyo Chapfuwa; Serge Assaad; Shuxi Zeng; Michael J. Pencina; Lawrence Carin; Ricardo Henao (CHIL, 2021)

Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. - David Dov; Serge Assaad; Shijing Si; Rui Wang 088; Hongteng Xu; Shahar Ziv Kovalsky; Jonathan Bell; Danielle Elliott Range; Jonathan Cohen 004; Ricardo Henao; Lawrence Carin (CHIL, 2021)

Hölder Bounds for Sensitivity Analysis in Causal Reasoning. - Serge Assaad; Shuxi Zeng; Henry D. Pfister; Fan Li; Lawrence Carin (CoRR, 2021)

Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. - David Dov; Shahar Z. Kovalsky; Serge Assaad; Jonathan Cohen 004; Danielle Elliott Range; Avani A. Pendse; Ricardo Henao; Lawrence Carin (Medical Image Anal., 2021)

VN-Transformer: Rotation-Equivariant Attention for Vector Neurons. - Serge Assaad; Carlton Downey; Rami Al-Rfou'; Nigamaa Nayakanti; Benjamin Sapp (Trans. Mach. Learn. Res., 2023)

Principled Deep Learning for Healthcare Applications. - Serge Assaad (2023)