Zeshan M. Hussain

According to our database, Zeshan M. Hussain authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLMs can construct powerful representations and streamline sample-efficient supervised learning.

Ilker Demirel, Lawrence Shi, Zeshan M. Hussain, David A. Sontag

CoRR, March, 2026

2024

Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma.

Zeshan M. Hussain, Edward De Brouwer, Rebecca Boiarsky, Sama Setty, Neeraj Gupta, Guohui Liu, Cong Li, Jaydeep Srimani, Jacob Zhang, Rich Labotka, David A. Sontag

npj Digit. Medicine, 2024

Evaluating Physician-AI Interaction for Cancer Management: Paving the Path towards Precision Oncology.

Zeshan M. Hussain, Barbara D. Lam, Fernando A. Acosta-Perez, Irbaz B. Riaz, Maia L. Jacobs, Andrew J. Yee, David A. Sontag

CoRR, 2024

Benchmarking Observational Studies with Experimental Data under Right-Censoring.

Ilker Demirel, Edward De Brouwer, Zeshan M. Hussain, Michael Oberst, Anthony Philippakis, David A. Sontag

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Towards Precision Oncology: A Predictive and Causal Lens

Zeshan M. Hussain

PhD thesis, 2023

Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions.

Zeshan M. Hussain, Ming-Chieh Shih, Michael Oberst, Ilker Demirel, David A. Sontag

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Conformalized Unconditional Quantile Regression.

Ahmed M. Alaa, Zeshan M. Hussain, David A. Sontag

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Falsification before Extrapolation in Causal Effect Estimation.

Zeshan M. Hussain, Michael Oberst, Ming-Chieh Shih, David A. Sontag

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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 A. Sontag, Fredrik Johansson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Neural Pharmacodynamic State Space Modeling.

Zeshan M. Hussain, Rahul G. Krishnan, David A. Sontag

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Artificial intelligence in celiac disease.

Muhammad Khawar Sana, Zeshan M. Hussain, Pir Ahmad Shah, Muhammad Haisum Maqsood

Comput. Biol. Medicine, 2020