Multimodal attention-based deep learning for Alzheimer's disease diagnosis. - Michal Golovanevsky; Carsten Eickhoff; Ritambhara Singh (J. Am. Medical Informatics Assoc., 2022)

One-Versus-Others Attention: Scalable Multimodal Integration. - Michal Golovanevsky; Eva Schiller; Akira Nair; Ritambhara Singh; Carsten Eickhoff (CoRR, 2023)

What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Noise-free Text-Image Corruption and Evaluation. - Michal Golovanevsky; William Rudman; Vedant Palit; Ritambhara Singh; Carsten Eickhoff (CoRR, 2024)

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind. - William Rudman; Michal Golovanevsky; Amir Bar; Vedant Palit; Yann LeCun; Carsten Eickhoff; Ritambhara Singh (ACL (Findings), 2025)

What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation. - Michal Golovanevsky; William Rudman; Vedant Palit; Carsten Eickhoff; Ritambhara Singh (NAACL (Long Papers), 2025)

Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts. - Michal Golovanevsky; William Rudman; Michael Lepori; Amir Bar; Ritambhara Singh; Carsten Eickhoff (CoRR, 2025)

PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset. - Michal Golovanevsky; Pranav Mahableshwarkar; Carsten Eickhoff; Ritambhara Singh (CoRR, 2025)