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Jiri Navratil

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Risk Assessment and Statistical Significance in the Age of Foundation Models

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Oct 11, 2023
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan Greenewald, Brian Belgodere, Mikhail Yurochkin, Jiri Navratil, Igor Melnyk, Jerret Ross

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Assessment of Prediction Intervals Using Uncertainty Characteristics Curves

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Oct 04, 2023
Jiri Navratil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri

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Auditing and Generating Synthetic Data with Controllable Trust Trade-offs

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May 02, 2023
Brian Belgodere, Pierre Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jiri Navratil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young

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Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI

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Jun 04, 2021
Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jiri Navratil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang

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Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals

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Jun 01, 2021
Jiri Navratil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri

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Learning Prediction Intervals for Model Performance

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Dec 15, 2020
Benjamin Elder, Matthew Arnold, Anupama Murthi, Jiri Navratil

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Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing

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Jul 10, 2020
Begum Taskazan, Jiri Navratil, Matthew Arnold, Anupama Murthi, Ganesh Venkataraman, Benjamin Elder

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Uncertainty Prediction for Deep Sequential Regression Using Meta Models

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Jul 02, 2020
Jiri Navratil, Matthew Arnold, Benjamin Elder

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Towards Automating the AI Operations Lifecycle

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Mar 28, 2020
Matthew Arnold, Jeffrey Boston, Michael Desmond, Evelyn Duesterwald, Benjamin Elder, Anupama Murthi, Jiri Navratil, Darrell Reimer

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Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling

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May 23, 2019
Jiri Navratil, Alan King, Jesus Rios, Georgios Kollias, Ruben Torrado, Andres Codas

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