Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells. - Griffin Adams; Mert Ketenci; Shreyas Bhave; Adler J. Perotte; Noémie Elhadad (ML4H@NeurIPS, 2020)

Zero-Shot Clinical Acronym Expansion with a Hierarchical Metadata-Based Latent Variable Model. - Griffin Adams; Mert Ketenci; Adler J. Perotte; Noemie Elhadad (CoRR, 2020)

Exploring Automatic Summarization of the Hospital Course. - Griffin Adams; Emily Alsentzer; Mert Ketenci; Jason Zucker 001; Noemie Elhadad (AMIA, 2021)

What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. - Griffin Adams; Emily Alsentzer; Mert Ketenci; Jason Zucker 001; Noémie Elhadad (NAACL-HLT, 2021)

Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. - Mert Ketenci; Shreyas Bhave; Noemie Elhadad; Adler J. Perotte (MLHC, 2023)

A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference. - Mert Ketenci; Adler J. Perotte; Noémie Elhadad; Iñigo Urteaga (CoRR, 2023)

Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification. - Mert Ketenci; Iñigo Urteaga; Victor Alfonso Rodriguez; Noémie Elhadad; Adler J. Perotte (CoRR, 2024)

Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference. - Mert Ketenci; Adler J. Perotte; Noémie Elhadad; Iñigo Urteaga (UAI, 2025)