I’m Aviv Bick, a Ph.D. student in the Computer Science Department at Carnegie Mellon University, where I work under the guidance of Prof. Albert Gu and Prof. Eric Xing. My research focuses on representation learning for sequential data and developing efficient computational methods for it.

Aviv Bick

first_name [at] cmu [dot] edu

Computer Science Department
Carnegie Mellon University
9003 Gates and Hillman Centers
Pittsburgh, USA

     

Education

  • Ph.D., Computer Science

    Carnegie Mellon University, 2022 - Present

  • M.S., Computer Science

    Tel Aviv University, 2019 - 2021

  • B.S., Computer Science

    The Hebrew University of Jerusalem, 2016 - 2019

Publications

  • Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners

    Authors: Daniele Paliotta*, Junxiong Wang*, Matteo Pagliardini*, Kevin Y. Li*, Aviv Bick, J. Zico Kolter, Albert Gu, François Fleuret, Tri Dao

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  • Llamba: Scaling Distilled Recurrent Models for Efficient Language Processing

    Authors: Aviv Bick, Tobias Katsch, Nimit Sohoni, Arjun Desai, Albert Gu

    Conference: ICLR 2025 Workshop on Scalable Optimization for Efficient and Adaptive Foundation Models

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  • Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

    Authors: Aviv Bick* , Kevin Y. Li* , Eric P. Xing , J. Zico Kolter , and Albert Gu

    Conference: Advances in Neural Information Processing Systems, NeurIPS 2024

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  • Distributed Zero-Knowledge Proofs Over Networks

    Authors: Aviv Bick, Gillat Kol, Rotem Oshman

    Conference: ACM-SIAM Symposium on Discrete Algorithms, SODA 2022

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Plain Academic