Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes. - Emanuel A. Azcona; Pierre Besson; Yunan Wu; Arjun Punjabi; Adam Martersteck; Amil Dravid; Todd B. Parrish; S. Kathleen Bandt; Aggelos K. Katsaggelos (ShapeMI@MICCAI, 2020)

Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks. - Amil Dravid; Aggelos K. Katsaggelos (CoRR, 2021)

Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract). - Amil Dravid; Aggelos K. Katsaggelos (AAAI, 2022)

medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. - Amil Dravid; Florian Schiffers; Boqing Gong; Aggelos K. Katsaggelos (CVPR Workshops, 2022)

Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes. - Amil Dravid; Florian Schiffers; Yunan Wu; Oliver Cossairt; Aggelos K. Katsaggelos (ICASSP, 2022)

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. - Jennifer J. Sun; Pierre Karashchuk; Amil Dravid; Serim Ryou; Sonia Fereidooni; John C. Tuthill; Aggelos K. Katsaggelos; Bingni W. Brunton; Georgia Gkioxari; Ann Kennedy; Yisong Yue; Pietro Perona (CoRR, 2022)

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. - Jennifer J. Sun; Lili Karashchuk; Amil Dravid; Serim Ryou; Sonia Fereidooni; John C. Tuthill; Aggelos K. Katsaggelos; Bingni W. Brunton; Georgia Gkioxari; Ann Kennedy; Yisong Yue; Pietro Perona (CVPR, 2023)

Rosetta Neurons: Mining the Common Units in a Model Zoo. - Amil Dravid; Yossi Gandelsman; Alexei A. Efros; Assaf Shocher (ICCV, 2023)

DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels. - Yunan Wu; Amil Dravid; Ramsey Michael Wehbe; Aggelos K. Katsaggelos (CoRR, 2023)

Idempotent Generative Network. - Assaf Shocher; Amil Dravid; Yossi Gandelsman; Inbar Mosseri; Michael Rubinstein; Alexei A. Efros (ICLR, 2024)

Interpreting the Weight Space of Customized Diffusion Models. - Amil Dravid; Yossi Gandelsman; Kuan-Chieh Wang; Rameen Abdal; Gordon Wetzstein; Alexei A. Efros; Kfir Aberman (NeurIPS, 2024)

Vision Transformers Don't Need Trained Registers. - Nick Jiang; Amil Dravid; Alexei A. Efros; Yossi Gandelsman (CoRR, 2025)