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rohun agrawal toggle navigation about current publications cv rohun agrawal rohun agrawal at columbia dot edu i am a computer science phd student at columbia co advised by micah goldblum and pavel izmailov my work is supported by the nsf graduate research fellowship previously i completed my b s in applied and computational mathematics from caltech where i worked with georgia gkioxari on visual reasoning and in katie bouman s lab on imaging inverse problems i have also interned at apple training large video models and at the nasa jet propulsion laboratory calibrating gpr models i am interested in developing methods to push the temporal horizons of machine learning models specifically i aim to extend future horizons with world model planning and past horizons with efficient large scale memory retrieval i believe both these directions are crucial to achieve truly persistent agents publications closing the train test gap in world models for gradient based planning a parthasarathy n kalra r agrawal y lecun o bounou p izmailov and m goldblum world model workshop 2026 arxiv pdf code visual agentic ai for spatial reasoning with a dynamic api d marsilli r agrawal y yue and g gkioxari computer vision and pattern recognition conference cvpr 2025 arxiv pdf code website holistic mapping of the present day martian seasonal co2 frost part 1 s diniega g doran s lu m wronkiewicz j widmer r agrawal and u rebbapragada planetary science journal 2025 pdf alternating phase langevin sampling with implicit denoiser priors for phase retrieval r agrawal and o leong in international conference on acoustics speech and signal processing icassp 2023 arxiv pdf code copyright 2026 rohun agrawal powered by jekyll with al folio theme hosted by github pages photos from unsplash