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Pleiss, Geoff

  1. On Calibration of Modern Neural Networks
    2017/06/14 by Chuan Guo, Geoff Pleiss, Guo, Chuan +5 · 542 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
  2. Snapshot Ensembles: Train 1, get M for free
    2017/04/01 by Gao Huang, Yixuan Li, Huang, Gao +9 · 1 voice · 25 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #cs.LG
  3. GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
    2018/09/28 by Jacob R. Gardner, Geoff Pleiss, Gardner, Jacob R. +7 · 89 citations
    Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Control Systems and Identification #Neural Networks and Applications
  4. On Fairness and Calibration
    2017/09/06 by Geoff Pleiss, Pleiss, Geoff, Manish Raghavan +7 · 56 citations
    Computer Science · Mathematics · Social Sciences · #Explainable Artificial Intelligence (XAI) #Advanced Causal Inference Techniques #Ethics and Social Impacts of AI
  5. Identifying Mislabeled Data using the Area Under the Margin Ranking
    2020/01/28 by Geoff Pleiss, Tianyi Zhang, Pleiss, Geoff +5 · 26 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  6. Exact Gaussian Processes on a Million Data Points
    2019/03/19 by Ke Alexander Wang, Geoff Pleiss, Wang, Ke Alexander +9 · 5 citations
    Computer Science · Engineering · #Control Systems and Identification #Distributed #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Parallel #and Cluster Computing (cs.DC)
  7. A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
    2024/02/07 by Agustinus Kristiadi, Felix Strieth‐Kalthoff, Kristiadi, Agustinus +9 · 10 citations
    Computer Science · Materials Science · Chemistry · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Analytical Chemistry and Chromatography
  8. Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
    2019/06/14 by Yurong You, Yan Wang, You, Yurong +13 · 7 citations
    Computer Science · Engineering · Physics and Astronomy · #Advanced Neural Network Applications #Advanced Optical Sensing Technologies #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics and Sensor-Based Localization
  9. Deep Feature Interpolation for Image Content Changes
    2016/11/16 by Upchurch, Paul, Gardner, Jacob, Pleiss, Geoff +4 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  10. Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
    2021/07/01 by Jonathan Wenger, Geoff Pleiss, Wenger, Jonathan +7 · 4 citations
    Computer Science · #Machine Learning and Data Classification #Advanced Neural Network Applications #Gaussian Processes and Bayesian Inference
  11. Product Kernel Interpolation for Scalable Gaussian Processes
    2018/02/24 by Gardner, Jacob R., Pleiss, Geoff, Wu, Ruihan +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Pathologies of Predictive Diversity in Deep Ensembles
    2023/02/01 by Taiga Abe, E. Kelly Buchanan, Abe, Taiga +5 · 4 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Artificial Intelligence in Healthcare and Education
  13. Rectangular Flows for Manifold Learning
    2021/06/02 by Caterini, Anthony L., Loaiza-Ganem, Gabriel, Pleiss, Geoff +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Deep Ensembles Work, But Are They Necessary?
    2022/02/14 by Taiga Abe, Abe, Taiga, E. Kelly Buchanan +7 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI)
  15. Constant-Time Predictive Distributions for Gaussian Processes
    2018/03/16 by Pleiss, Geoff, Gardner, Jacob R., Weinberger, Kilian Q. +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Convolutional Networks with Dense Connectivity
    2020/01/08 by Huang, Gao, Liu, Zhuang, Pleiss, Geoff +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective
    2021/06/11 by Geoff Pleiss, John P. Cunningham, Pleiss, Geoff +1 · 2 citations
    Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Statistical Mechanics and Entropy #Machine Learning and Data Classification
  18. Variational Nearest Neighbor Gaussian Process
    2022/02/03 by Wu, Luhuan, Pleiss, Geoff, Cunningham, John · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. Large-Scale Gaussian Processes via Alternating Projection
    2023/10/26 by Kaiwen Wu, Wu, Kaiwen, Jonathan Wenger +7 · 1 citation
    Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and ELM #Machine Learning and Data Classification
  20. Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
    2024/11/01 by Jonathan Wenger, Kaiwen Wu, Wenger, Jonathan +9 · 1 citation
    Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Fault Detection and Control Systems #Target Tracking and Data Fusion in Sensor Networks
  21. A Nearby Dark Molecular Cloud in the Local Bubble Revealed via H2 Fluorescence
    2025/04/24 by Blakesley Burkhart, T. E. Dharmawardena, Burkhart, Blakesley +43 · 2 citations
    Chemistry · Physics and Astronomy · #Astrophysics and Star Formation Studies #Astrophysics of Galaxies (astro-ph.GA) #FOS: Physical sciences #Fullerene Chemistry and Applications #Scientific Research and Discoveries