Aniket Rege

Hello There!

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WAIV Lab, MLOPT

PhD Student, University

of Wisconsin-Madison

I’m a Ph.D student in Computer Sciences at the University of Wisconsin-Madison, where I spend most of time thinking about multimodal retrieval for long-horizon agentic reasoning and heterogeneous and diverse preference learning for generative models. I am fortunate to be jointly advised by Ramya Vinayak and Yong Jae Lee.

🚨 Summer ‘26: I’ll be a student researcher with the GenAI team at Google DeepMind Bengaluru with Gagan Madan, working on evals and LLM postraining for long-horizon agentic tool use 🛺🚦☕

Previously, I was an masters student at the University of Washington, Seattle where I worked with the RAIVN Lab advised by Prof. Ali Farhadi and mentored by Aditya Kusupati. My MS research focused on large-scale efficient and deployable machine learning (Matryoshka), visual representation learning, and web-scale search.

I am also generally interested in computer vision, information retrieval, efficient+deployable ML, and adaptive generative models. If you are an undergrad or masters student interested in working with me, send me an email (I’ll do my best to reply)!

Reach me: aniketr[at]cs[dot]wisc[dot]edu

news

Apr 30, 2026 🎆 Sparks of Cooperative Reasoning is accepted at ICML 2026!
Apr 6, 2026 EGAgent from my internship at Meta Reality Labs is accepted at ACL ‘26 Main Conference!
May 10, 2025 ⚕️CuRe is accepted as an oral at CVPR DemoDiv workshop!
Update (06/25): CuRe is accepted at ICCV 2025!
Jun 18, 2024 PAL is accepted at ICML workshops: TF2M and MHFAIA (oral)!
Update (01/22/2025): PAL is accepted at ICLR 2025!
Apr 29, 2024 I gave an hour-long talk about Matryoshka Representation Learning at UW-Madison’s MLOPT Idea Seminar!

selected publications

  1. ACL
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    Agentic Very Long Video Understanding
    In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026
  2. ICCV
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    CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems
    Aniket Rege, Zinnia Nie, Mahesh Ramesh, Unmesh Raskar, Zhuoran YuAditya Kusupati†Yong Jae Lee†, and Ramya Korlakai Vinayak†
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  3. ICLR
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    PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment
    In The Thirteenth International Conference on Learning Representations (ICLR), 2025
  4. NeurIPS
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    Matryoshka Representation Learning
    In Advances in Neural Information Processing Systems (NeurIPS), 2022