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
    From the Observability TAG: Designing a Common Query Language for Observability Data
    Alolita Sharma
    Chris Larsen
    Pereira Braga
    (2025)
    A Recipe for Improving Remote Sensing Zero Shot Generalization
    Aviad Barzilai
    Yotam Gigi
    Vered Silverman
    Yehonathan Refael
    Bolous Jaber
    Amr Helmy
    Tomer Shekel
    George Leifman
    Genady Beryozkin
    3rd ML4RS Workshop at ICLR 2025
    Understanding Architectural Complexity, Maintenance Burden, and Developer Sentiment -- A Large-Scale Study
    Yuanfang Cai
    Lanting He
    Jun Qian
    Yony Kochinski
    Nan Zhang
    Ciera Jaspan
    Antonio Bianco
    2025
    From the Observability TAG: Designing a Common Query Language for Observability Data
    Alolita Sharma
    Chris Larsen
    Pereira Braga
    (2025)
    SYMBIOSIS: Systems Thinking and Machine Intelligence for Better Outcomes in Society
    Sameer Sethi
    Donald Martin
    Emmanuel Klu
    Preprint (2025)
    Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes
    Tony Tan-Torres
    Pradeep Praveen
    Divleen Jeji
    Arthur Brant
    Xiang Yin
    Lu Yang
    Preeti Singh
    Tayyeba Ali
    Ilana Traynis
    Dushyantsinh Jadeja
    Rajroshan Sawhney
    Dale Webster
    Naama Hammel
    Yun Liu
    Kasumi Widner
    Sunny Virmani
    Pradeep Venkatesh
    Jonathan Krause
    Nikhil Tandon
    Ophthalmology and Therapy (2025)
    Performance of a Deep Learning Diabetic Retinopathy Algorithm in India
    Arthur Brant
    Preeti Singh
    Xiang Yin
    Lu Yang
    Jay Nayar
    Divleen Jeji
    Yossi Matias
    Greg Corrado
    Dale Webster
    Sunny Virmani
    Anchintha Meenu
    Naresh Babu Kannan
    Jonathan Krause
    Florence Thng
    Lily Peng
    Yun Liu
    Kasumi Widner
    Ramasamy Kim
    JAMA Network Open (2025)
    Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts
    Mostafa Mousavi
    Marc Stogaitis
    Tajinder Gadh
    Richard Allen
    Alexei Barski
    Robert Bosch
    Patrick Robertson
    Youngmin Cho
    Nivetha Thiruverahan
    Aman Raj
    Geophysical Journal International (2025), ggae436
    Improving simulation-based origin-destination demand calibration using sample segment counts data
    Arwa Alanqary
    Chao Zhang
    Yechen Li
    Neha Arora
    Carolina Osorio
    The 12th Triennial Symposium on Transportation Analysis conference (TRISTAN XII), Okinawa, Japan (2025) (to appear)
    TOKENFORMER: Rethinking Transformers Scaling with Tokenized Model Parameters
    Haiyang Wang
    Fan Yue
    Ferjad Naeem
    Yongqin Xian
    Jan Eric Lenssen
    Liwei Wang
    Federico Tombari
    Bernt Schiele
    2025
    Zero-Shot Image Moderation in Google Ads with LLM-Assisted Textual Descriptions and Cross-modal Co-embeddings
    Jimin Li
    Eric Xiao
    Wei Qiao
    Katie Warren
    Enming Luo
    Krishna Viswanathan
    Ariel Fuxman
    Yuan Wang
    Bill Li
    Yintao Liu
    (2025)
    SSDTrain: Faster Large Language Model Training Using SSD-Based Activation Offloading
    Kun Wu
    Jeongmin Brian Park
    Xiaofan Zhang
    Mert Hidayetoğlu
    Vikram Sharma Mailthody
    Sitao Huang
    Steven Lumetta
    Wen-mei Hwu
    Design Automation Conference (DAC) (2025)
    Fairness and Optimality in Routing
    Sreenivas Gollapudi
    Kostas Kollias
    Alkmini Sgouritsa
    Ali Sinop
    AAMAS (2025)
    The Multicultural Medical Assistant: Can LLMs Improve Medical ASR Errors Across Borders?
    Ayo Adedeji
    Sarita Joshi
    2025
    InstructPipe: Generating Visual Blocks Pipelines with Human Instructions and LLMs
    Zhongyi Zhou
    Jing Jin
    Vrushank Phadnis
    Xiuxiu Yuan
    Jun Jiang
    Xun Qian
    Jingtao Zhou
    Yiyi Huang
    Zheng Xu
    Yinda Zhang
    Kristen Wright
    Jason Mayes
    Mark Sherwood
    Johnny Lee
    Alex Olwal
    David Kim
    Ram Iyengar
    Na Li
    Ruofei Du
    Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI), ACM, pp. 23
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