Inferring learning rules from animal decision-making. - Zoe Ashwood; Nicholas A. Roy; Ji Hyun Bak; Jonathan W. Pillow (NeurIPS, 2020)

Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior. - Zoe Ashwood; Aditi Jha; Jonathan W. Pillow (NeurIPS, 2022)

Bayesian Active Learning for Discrete Latent Variable Models. - Aditi Jha; Zoe C. Ashwood; Jonathan W. Pillow (CoRR, 2022)

Probabilistic Models for Characterizing Animal Learning and Decision-Making - Zoe Ashwood (2022)

Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups. - Charvi Rastogi; Tian Huey Teh; Pushkar Mishra; Roma Patel; Zoe Ashwood; Aida Mostafazadeh Davani; Mark Diaz; Michela Paganini; Alicia Parrish; Ding Wang; Vinodkumar Prabhakaran; Lora Aroyo; et al. (CoRR, 2024)

Active Learning for Discrete Latent Variable Models. - Aditi Jha; Zoe C. Ashwood; Jonathan W. Pillow (Neural Comput., 2024)

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models. - Charvi Rastogi; Tian Huey Teh; Pushkar Mishra; Roma Patel; Ding Wang; Mark Díaz; Alicia Parrish; Aida Mostafazadeh Davani; Zoe Ashwood; Michela Paganini; Vinodkumar Prabhakaran; Verena Rieser; et al. (CoRR, 2025)

"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives. - Ding Wang; Mark Díaz; Charvi Rastogi; Aida Mostafazadeh Davani; Vinodkumar Prabhakaran; Pushkar Mishra; Roma Patel; Alicia Parrish; Zoe Ashwood; Michela Paganini; Tian Huey Teh; Verena Rieser; et al. (CoRR, 2025)