Publications

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations. Katie Matton, Robert Ness, John Guttag, Emre Kıcıman. ICLR 2025. Spotlight (top 3%). [pdf]

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, …, Katie Matton, et al. ArXiv Preprint arXiv:2403.01628, 2024. [pdf]

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering. Robert Ness, Katie Matton, Hayden Helm, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz. ArXiv Preprint arXiv:2406.06573, 2024. [pdf]

Contrastive Learning of Electrodermal Activity Representations for Stress Detection Katie Matton*, Robert Lewis*, John Guttag, and Rosalind Picard. Conference on Health, Inference, and Learning (CHIL), 2023. (* = equal contribution). [pdf]

Improving Domain Generalization in Contrastive Learning using Adaptive Temperature Control. Katie Matton*, Robert Lewis*, Rosalind Picard, John Guttag. Workshop on Self-Supervised Learning, NeurIPS 2023. [pdf]

Invariance-Based Causal Estimation in the Presence of Concept Drift. Katie Matton, John Guttag, and Rosalind Picard. Workshop on Causal Representation Learning, UAI 2022. [pdf]

Understanding the Impact of COVID-19 on Online Mental Health Forums.
Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, and Rada Mihalcea.
ACM Transactions on Management Information Systems, 2021. [pdf]

Quantifying the Effects of COVID-19 on Mental Health Support Forums.
Laura Biester*, Katie Matton*, Janarthanan Rajendran, Emily Mower Porvost, and Rada Mihalcea. Workshop on NLP for COVID-19, EMNLP 2020, Oral presentation. (* = equal contribution). [pdf]

Into the Wild: Transitioning from Recognizing Mood in Clinical Interactions to Personal Conversations for Individuals with Bipolar Disorder.
Katie Matton, Melvin G. McInnis, and Emily Mower Provost.
INTERSPEECH 2019, Oral presentation. [pdf]