Image processing for artist identification. - C. Richard Johnson Jr.; Ella Hendriks; Igor J. Berezhnoy; Eugene Brevdo; Shannon M. Hughes; Ingrid Daubechies; Jia Li 001; Eric O. Postma; James Z. Wang 001 (IEEE Signal Process. Mag., 2008)

Stylistic analysis of paintings usingwavelets and machine learning. - Sina Jafarpour; Gungor Polatkan; Eugene Brevdo; Shannon M. Hughes; Andrei Brasoveanu; Ingrid Daubechies (EUSIPCO, 2009)

Bridge detection and robust geodesics estimation via random walks. - Eugene Brevdo; Peter J. Ramadge (ICASSP, 2010)

The Synchrosqueezing algorithm: a robust analysis tool for signals with time-varying spectrum - Eugene Brevdo; Neven S. Fuckar; Gaurav Thakur; Hau-Tieng Wu (CoRR, 2011)

The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications. - Gaurav Thakur; Eugene Brevdo; Neven S. Fuckar; Hau-Tieng Wu (Signal Process., 2013)

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. - Martín Abadi; Ashish Agarwal; Paul Barham 001; Eugene Brevdo; Zhifeng Chen; Craig Citro; Gregory S. Corrado; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Ian J. Goodfellow; et al. (CoRR, 2016)

Deep Probabilistic Programming. - Dustin Tran; Matthew D. Hoffman; Rif A. Saurous; Eugene Brevdo; Kevin Murphy 002; David M. Blei (ICLR (Poster), 2017)

TensorFlow Distributions. - Joshua V. Dillon; Ian Langmore; Dustin Tran; Eugene Brevdo; Srinivas Vasudevan; Dave Moore; Brian Patton; Alex Alemi; Matthew D. Hoffman; Rif A. Saurous (CoRR, 2017)

Tensor2Tensor for Neural Machine Translation. - Ashish Vaswani; Samy Bengio; Eugene Brevdo; François Chollet; Aidan N. Gomez; Stephan Gouws; Llion Jones; Lukasz Kaiser; Nal Kalchbrenner; Niki Parmar; Ryan Sepassi; Noam Shazeer; et al. (AMTA (1), 2018)

Dynamic control flow in large-scale machine learning. - Yuan Yu; Martín Abadi; Paul Barham 001; Eugene Brevdo; Mike Burrows; Andy Davis; Jeff Dean; Sanjay Ghemawat; Tim Harley; Peter Hawkins; Michael Isard; Manjunath Kudlur; et al. (EuroSys, 2018)

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. - Jacob Buckman; Danijar Hafner; George Tucker; Eugene Brevdo; Honglak Lee (NeurIPS, 2018)

MLGO: a Machine Learning Guided Compiler Optimizations Framework. - Mircea Trofin; Yundi Qian; Eugene Brevdo; Zinan Lin 001; Krzysztof Choromanski; David Li (CoRR, 2021)

Reverb: A Framework For Experience Replay. - Albin Cassirer; Gabriel Barth-Maron; Eugene Brevdo; Sabela Ramos; Toby Boyd; Thibault Sottiaux; Manuel Kroiss (CoRR, 2021)

RL-DARTS: Differentiable Architecture Search for Reinforcement Learning. - Yingjie Miao; Xingyou Song; Daiyi Peng; Summer Yue; Eugene Brevdo; Aleksandra Faust (CoRR, 2021)

Differentiable Architecture Search for Reinforcement Learning. - Yingjie Miao; Xingyou Song; John D. Co-Reyes; Daiyi Peng; Summer Yue; Eugene Brevdo; Aleksandra Faust (AutoML, 2022)

A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. - Xinfeng Xie; Prakash Prabhu; Ulysse Beaugnon; Phitchaya Mangpo Phothilimthana; Sudip Roy 002; Azalia Mirhoseini; Eugene Brevdo; James Laudon; Yanqi Zhou (MLSys, 2022)

HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network. - Zhenyu Song; Kevin Chen; Nuikhil Sarda; Deniz Altinbüken; Eugene Brevdo; Jimmy Coleman; Xiao Ju; Pawel Jurczyk; Richard Schooler; Ramki Gummadi (NSDI, 2023)

Kepler: Robust Learning for Faster Parametric Query Optimization. - Lyric Doshi; Vincent Zhuang; Gaurav Jain; Ryan Marcus; Haoyu Huang; Deniz Altinbüken; Eugene Brevdo; Campbell Fraser (CoRR, 2023)

Kepler: Robust Learning for Parametric Query Optimization. - Lyric Doshi; Vincent Zhuang; Gaurav Jain; Ryan Marcus; Haoyu Huang; Deniz Altinbüken; Eugene Brevdo; Campbell Fraser (Proc. ACM Manag. Data, 2023)

The Next 700 ML-Enabled Compiler Optimizations. - S. VenkataKeerthy; Siddharth Jain; Umesh Kalvakuntla; Pranav Sai Gorantla; Rajiv Shailesh Chitale; Eugene Brevdo; Albert Cohen 001; Mircea Trofin; Ramakrishna Upadrasta (CC, 2024)

gpt-oss-120b & gpt-oss-20b Model Card. - Sandhini Agarwal; Lama Ahmad; Jason Ai; Sam Altman; Andy Applebaum; Edwin Arbus; Rahul K. Arora; Yu Bai; Bowen Baker; Haiming Bao; Boaz Barak; Ally Bennett; et al. (CoRR, 2025)