Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders. - Pranav Singh; Luoyao Chen; Mei Chen; Jinqian Pan; Raviteja Chukkapalli; Shravan Chaudhari; Jacopo Cirrone (ICCV (Workshops), 2023)

Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification. - Pranav Singh; Raviteja Chukkapalli; Shravan Chaudhari; Luoyao Chen; Mei Chen; Jinqian Pan; Craig Smuda; Jacopo Cirrone (CoRR, 2023)

Novel Node Category Detection Under Subpopulation Shift. - Hsing-Huan Chung; Shravan Chaudhari; Yoav Wald; Xing Han; Joydeep Ghosh (ECML/PKDD (4), 2024)

EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference. - Prakhar Kaushik; Ankit Vaidya; Shravan Chaudhari; Alan L. Yuille (CVPR Workshops, 2025)

Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning. - Hsing-Huan Chung; Shravan Chaudhari; Xing Han; Yoav Wald; Suchi Saria; Joydeep Ghosh (Trans. Mach. Learn. Res., 2025)

Multimodal LLM Augmented Reasoning for Interpretable Visual Perception Analysis. - Shravan Chaudhari; Trilokya Akula; Yoon Kim; Tom Blake (CoRR, 2025)