Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms. - Roohallah Alizadehsani; Mohammad Javad Hosseini; Zahra Alizadeh Sani; Asma Ghandeharioun; Reihane Boghrati (ICDM Workshops, 2012)

Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis. - Roohallah Alizadehsani; Mohammad Javad Hosseini; Reihane Boghrati; Asma Ghandeharioun; Fahime Khozeimeh; Zahra Alizadeh Sani (Int. J. Knowl. Discov. Bioinform., 2012)

A data mining approach for diagnosis of coronary artery disease. - Roohallah Alizadehsani; Jafar Habibi; Mohammad Javad Hosseini; Hoda Mashayekhi; Reihane Boghrati; Asma Ghandeharioun; Behdad Bahadorian; Zahra Alizadeh Sani (Comput. Methods Programs Biomed., 2013)

Predicting students' happiness from physiology, phone, mobility, and behavioral data. - Natasha Jaques; Sara Taylor; Asaph Azaria; Asma Ghandeharioun; Akane Sano; Rosalind W. Picard (ACII, 2015)

Objective assessment of depressive symptoms with machine learning and wearable sensors data. - Asma Ghandeharioun; Szymon Fedor; Lisa Sangermano; Dawn Ionescu; Jonathan Alpert; Chelsea Dale; David A. Sontag; Rosalind W. Picard (ACII, 2017)

BrightBeat: Effortlessly Influencing Breathing for Cultivating Calmness and Focus. - Asma Ghandeharioun; Rosalind W. Picard (CHI Extended Abstracts, 2017)

Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models. - Ardavan Saeedi; Matthew D. Hoffman; Stephen J. DiVerdi; Asma Ghandeharioun; Matthew J. Johnson 002; Ryan P. Adams (AISTATS, 2018)

EMMA: An Emotionally Intelligent Personal Assistant for Improving Wellbeing. - Asma Ghandeharioun; Daniel McDuff; Mary Czerwinski; Kael Rowan (CoRR, 2018)

EMMA: An Emotion-Aware Wellbeing Chatbot. - Asma Ghandeharioun; Daniel McDuff; Mary Czerwinski; Kael Rowan (ACII, 2019)

Towards Understanding Emotional Intelligence for Behavior Change Chatbots. - Asma Ghandeharioun; Daniel McDuff; Mary Czerwinski; Kael Rowan (ACII, 2019)

Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation. - Noah Jones; Natasha Jaques; Pat Pataranutaporn; Asma Ghandeharioun; Rosalind W. Picard (ACII Workshops, 2019)

Engineering Music to Slow Breathing and Invite Relaxed Physiology. - Grace Leslie; Asma Ghandeharioun; Diane Y. Zhou; Rosalind W. Picard (ACII, 2019)

Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias. - Asma Ghandeharioun; Brian Eoff; Brendan Jou; Rosalind W. Picard (ICCV Workshops, 2019)

Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems. - Asma Ghandeharioun; Judy Hanwen Shen; Natasha Jaques; Craig Ferguson; Noah Jones; Àgata Lapedriza; Rosalind W. Picard (NeurIPS, 2019)

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog. - Natasha Jaques; Asma Ghandeharioun; Judy Hanwen Shen; Craig Ferguson; Àgata Lapedriza; Noah Jones; Shixiang Gu; Rosalind W. Picard (CoRR, 2019)

Hierarchical Reinforcement Learning for Open-Domain Dialog. - Abdelrhman Saleh; Natasha Jaques; Asma Ghandeharioun; Judy Hanwen Shen; Rosalind W. Picard (AAAI, 2020)

Human-centric dialog training via offline reinforcement learning. - Natasha Jaques; Judy Hanwen Shen; Asma Ghandeharioun; Craig Ferguson; Àgata Lapedriza; Noah Jones; Shixiang Gu; Rosalind W. Picard (EMNLP (1), 2020)

Studying Personalized Just-in-time Auditory Breathing Guides and Potential Safety Implications during Simulated Driving. - Sebastian Zepf; Neska El Haouij; Jinmo Lee; Asma Ghandeharioun; Javier Hernandez; Rosalind W. Picard (UMAP, 2020)

DISSECT: Disentangled Simultaneous Explanations via Concept Traversals. - Asma Ghandeharioun; Been Kim; Chun-Liang Li; Brendan Jou; Brian Eoff; Rosalind W. Picard (ICLR, 2022)

Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models. - Peter Hase; Mohit Bansal; Been Kim; Asma Ghandeharioun (NeurIPS, 2023)

Post Hoc Explanations of Language Models Can Improve Language Models. - Satyapriya Krishna; Jiaqi Ma 004; Dylan Slack; Asma Ghandeharioun; Sameer Singh 001; Himabindu Lakkaraju (NeurIPS, 2023)

Mixed Effects Random Forests for Personalised Predictions of Clinical Depression Severity. - Robert A. Lewis; Asma Ghandeharioun; Szymon Fedor; Paola Pedrelli; Rosalind W. Picard; David Mischoulon (CoRR, 2023)

Interpretability Illusions in the Generalization of Simplified Models. - Dan Friedman; Andrew Kyle Lampinen; Lucas Dixon; Danqi Chen 001; Asma Ghandeharioun (ICML, 2024)

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models. - Asma Ghandeharioun; Avi Caciularu; Adam Pearce; Lucas Dixon; Mor Geva (ICML, 2024)

Who's asking? User personas and the mechanics of latent misalignment. - Asma Ghandeharioun; Ann Yuan; Marius Guerard; Emily Reif; Michael A. Lepori; Lucas Dixon (NeurIPS, 2024)

When Can Transformers Count to n? - Gilad Yehudai; Haim Kaplan; Asma Ghandeharioun; Mor Geva; Amir Globerson (CoRR, 2024)

Racing Thoughts: Explaining Large Language Model Contextualization Errors. - Michael A. Lepori; Michael Mozer; Asma Ghandeharioun (CoRR, 2024)

Towards Unifying Interpretability and Control: Evaluation via Intervention. - Usha Bhalla; Suraj Srinivas; Asma Ghandeharioun; Himabindu Lakkaraju (CoRR, 2024)

Racing Thoughts: Explaining Contextualization Errors in Large Language Models. - Michael A. Lepori; Michael Curtis Mozer; Asma Ghandeharioun (NAACL (Long Papers), 2025)

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics. - Carter Blum; Katja Filippova; Ann Yuan; Asma Ghandeharioun; Julian Zimmert; Fred Zhang; Jessica Hoffmann; Tal Linzen; Martin Wattenberg; Lucas Dixon; Mor Geva (CoRR, 2025)