Publications

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.

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Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.

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1 - 15 of 10317 publications
    Development and Evaluation of ML Models for Cardiotocography Interpretation
    Nicole Chiou
    Nichole Young-Lin
    Abdoulaye Diack
    Christopher Kelly
    Sanmi Koyejo
    NPJ Women's Health (2025)
    Enhancing Remote Sensing Representations through Mixed-Modality Masked Autoencoding
    Ori Linial
    Yochai Blau
    Nadav Sherman
    Yotam Gigi
    Wojciech Sirko
    Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops (2025), pp. 507-516
    Context is Key for Agent Security
    Lillian Tsai
    Eugene Bagdasaryan
    arXiv (2025)
    Differentiable Approximations for Distance Queries
    David M. Mount
    Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)
    Scaling Laws for Downstream Task Performance in Machine Translation
    Natalia Ponomareva
    Hussein Hazimeh
    Sanmi Koyejo
    International Conference on Learning Representations (ICLR) (2025) (to appear)
    Sufficient Context: A New Lens on Retrieval Augmented Generation Systems
    Hailey Joren
    Jianyi Zhang
    Chun-Sung Ferng
    Ankur Taly
    International Conference on Learning Representations (ICLR) (2025)
    Online-EYE: multimodal implicit eye tracking calibration for XR
    Baosheng James Hou
    Lucy Abramyan
    Prasanthi Gurumurthy
    Khushman Patel
    Haley Adams
    Andrea Colaco
    Ken Pfeuffer
    Hans Gellersen
    Karan Ahuja
    2025
    Mufu: Multilingual Fused Learning for Low- Resource Translation with LLM
    Zheng Lim
    Honglin Yu
    Trevor Cohn
    International Conference on Learning Representations (ICLR) 2025
    Zero-Shot Image Moderation in Google Ads with LLM-Assisted Textual Descriptions and Cross-modal Co-embeddings
    Jimin Li
    Eric Xiao
    Katie Warren
    Enming Luo
    Krishna Viswanathan
    Ariel Fuxman
    Bill Li
    Yintao Liu
    (2025)
    Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts
    Marc Stogaitis
    Tajinder Gadh
    Richard Allen
    Alexei Barski
    Robert Bosch
    Patrick Robertson
    Youngmin Cho
    Nivetha Thiruverahan
    Aman Raj
    Geophysical Journal International (2025), ggae436