Saliency Prediction for Omnidirectional Images Considering Optimization on Sphere Domain. - Bhishma Dedhia; Jui-Chiu Chiang; Yi-Fan Char (ICASSP, 2019)

Analysis of Lower Bounds for Simple Policy Iteration. - Sarthak Consul; Bhishma Dedhia; Kumar Ashutosh; Parthasarathi Khirwadkar (CoRR, 2019)

Lower Bounds for Policy Iteration on Multi-action MDPs. - Kumar Ashutosh; Sarthak Consul; Bhishma Dedhia; Parthasarathi Khirwadkar; Sahil Shah; Shivaram Kalyanakrishnan (CDC, 2020)

You Snooze, You Lose: Minimizing Channel-Aware Age of Information. - Bhishma Dedhia; Sharayu Moharir (WiOpt, 2020)

Saliency-driven rate-distortion optimization for 360-degree image coding. - Jui-Chiu Chiang; Cheng-Yu Yang; Bhishma Dedhia; Yi-Fan Char (Multim. Tools Appl., 2021)

Im-Promptu: In-Context Composition from Image Prompts. - Bhishma Dedhia; Michael Chang 003; Jake Snell; Tom Griffiths 001; Niraj K. Jha (NeurIPS, 2023)

FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid? - Shikhar Tuli; Bhishma Dedhia; Shreshth Tuli; Niraj K. Jha (J. Artif. Intell. Res., 2023)

SCouT: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare. - Bhishma Dedhia; Roshini Balasubramanian; Niraj K. Jha (ACM Trans. Comput. Heal., 2023)

Zero-TPrune: Zero-Shot Token Pruning Through Leveraging of the Attention Graph in Pre-Trained Transformers. - Hongjie Wang 002; Bhishma Dedhia; Niraj K. Jha (CVPR, 2024)

Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations. - Bhishma Dedhia; Niraj K. Jha (Trans. Mach. Learn. Res., 2025)

Generating, Fast and Slow: Scalable Parallel Video Generation with Video Interface Networks. - Bhishma Dedhia; David Bourgin; Krishna Kumar Singh; Yuheng Li; Yan Kang; Zhan Xu; Niraj K. Jha; Yuchen Liu (CoRR, 2025)

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need. - Bhishma Dedhia; Yuval Kansal; Niraj K. Jha (CoRR, 2025)