Krishnan, Rahul G.

23 publications

CHIL 2025 ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders Zongliang Ji, Andre Carlos Kajdacsy-Balla Amaral, Anna Goldenberg, Rahul G Krishnan

ICCV 2025 Physics Context Builders: A Modular Framework for Physical Reasoning in Vision-Language Models Vahid Balazadeh, Mohammadmehdi Ataei, Hyunmin Cheong, Amir Hosein Khasahmadi, Rahul G. Krishnan

NeurIPS 2024 End-to-End Causal Effect Estimation from Unstructured Natural Language Data Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison

NeurIPS 2024 Sequential Decision Making with Expert Demonstrations Under Unobserved Heterogeneity Vahid Balazadeh, Keertana Chidambaram, Viet Nguyen, Rahul G. Krishnan, Vasilis Syrgkanis

ICLR 2023 A Learning Based Hypothesis Test for Harmful Covariate Shift Tom Ginsberg, Zhongyuan Liang, Rahul G Krishnan

ICLR 2023 Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections Edward De Brouwer, Rahul G Krishnan

UAI 2023 Copula-Based Deep Survival Models for Dependent Censoring Ali Hossein Foomani Gharari, Michael Cooper, Russell Greiner, Rahul G Krishnan

MLHC 2023 DuETT: Dual Event Time Transformer for Electronic Health Records Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan

MIDL 2023 Hierarchical Optimal Transport for Comparing Histopathology Datasets Anna Yeaton, Rahul G. Krishnan, Rebecca Mieloszyk, David Alvarez-Melis, Grace Huynh

ICMLW 2023 Structured Neural Networks for Density Estimation Asic Q Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G Krishnan

NeurIPS 2023 Structured Neural Networks for Density Estimation and Causal Inference Asic Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G Krishnan

AISTATS 2022 Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models Rickard K.A. Karlsson, Martin Willbo, Zeshan M. Hussain, Rahul G. Krishnan, David Sontag, Fredrik Johansson

NeurIPSW 2022 A Learning Based Hypothesis Test for Harmful Covariate Shift Tom Ginsberg, Zhongyuan Liang, Rahul G Krishnan

AAAI 2022 Clustering Interval-Censored Time-Series for Disease Phenotyping Irene Y. Chen, Rahul G. Krishnan, David A. Sontag

MLHC 2022 HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding Weiming Ren, Ruijing Zeng, Tongzi Wu, Tianshu Zhu, Rahul G. Krishnan

NeurIPS 2022 Partial Identification of Treatment Effects with Implicit Generative Models Vahid Balazadeh Meresht, Vasilis Syrgkanis, Rahul G Krishnan

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

ICML 2021 Neural Pharmacodynamic State Space Modeling Zeshan M Hussain, Rahul G. Krishnan, David Sontag

UAI 2018 Max-Margin Learning with the Bayes Factor Rahul G. Krishnan, Arjun Khandelwal, Rajesh Ranganath, David A. Sontag

AISTATS 2018 On the Challenges of Learning with Inference Networks on Sparse, High-Dimensional Data Rahul G. Krishnan, Dawen Liang, Matthew D. Hoffman

MLHC 2018 Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics Eric P. Lehman, Rahul G. Krishnan, Xiaopeng Zhao, Roger G. Mark, Li-wei H. Lehman

AAAI 2017 Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan, Uri Shalit, David A. Sontag

NeurIPS 2015 Barrier Frank-Wolfe for Marginal Inference Rahul G Krishnan, Simon Lacoste-Julien, David Sontag