Saurabh Koju

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Hello! I am a Master’s student in Artificial Intelligence & Machine Learning at TU Darmstadt. I previously worked as a research assistant at NAAMII under the supervision of Dr. Binod Bhattarai at the Multimodal Learning Lab.
My current research interests include world models, information theory and generative modeling. Recently, I’ve been working on improving the cross-context adaptability of latent actions learned through world models for surgical applications.
I enjoy exploring the theoretical aspects of machine learning, particularly in information theory, generalization, and robustness.

Research Interests: World Models, Generalization and Robustness, Information Theory, Generative Modeling

latest posts

Oct 22, 2026 Quaternions
Jun 27, 2025 Flow Matching

publications

  1. DEMI Workshop
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    Surgical vision world model
    Saurabh Koju, Saurav Bastola, Prashant Shrestha, and 4 more authors
    In MICCAI Workshop on Data Engineering in Medical Imaging, 2025
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    The SAGES Critical View of Safety Challenge: A Global Benchmark for AI-Assisted Surgical Quality Assessment
    Deepak Alapatt, Jennifer Eckhoff, Zhiliang Lyu, and 38 more authors
    2026