Publications by authors named "Daniel Kifer"

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Physics informed neural network can retrieve rate and state friction parameters from acoustic monitoring of laboratory stick-slip experiments.
Prabhav Borate, Jacques Rivière, Samson Marty, Chris Marone, Daniel Kifer

Sci Rep· October 2024

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Reply to Muralidhar et al., Kenny et al., and Hotz et al.: The benefits of engagement with external research teams.
Ron S Jarmin, John M Abowd, Robert Ashmead, Ryan Cumings-Menon, Nathan Goldschlag, Daniel Kifer

Proc Natl Acad Sci U S A· March 2024

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An in-depth examination of requirements for disclosure risk assessment.
Ron S Jarmin, John M Abowd, Robert Ashmead, Ryan Cumings-Menon, Nathan Goldschlag, Daniel Kifer

Proc Natl Acad Sci U S A· October 2023

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Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes.
Prabhav Borate, Jacques Rivière, Chris Marone, Ankur Mali, Daniel Kifer

Nat Commun· June 2023

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The neural coding framework for learning generative models.
Alexander Ororbia, Daniel Kifer

Nat Commun· April 2022

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Physics-informed deep learning for prediction of CO storage site response.
Parisa Shokouhi, Vikas Kumar, Sumedha Prathipati, Seyyed A Hosseini, Clyde Lee Giles, Daniel Kifer

J Contam Hydrol· August 2021

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Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations.
Alexander Ororbia, Ankur Mali, C Lee Giles, Daniel Kifer

IEEE Trans Neural Netw Learn Syst· October 2020

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Non-Stationary Model for Crime Rate Inference Using Modern Urban Data.
Hongjian Wang, Huaxiu Yao, Daniel Kifer, Corina Graif, Zhenhui Li

IEEE Trans Big Data· June 2019

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Network spillovers and neighborhood crime: A computational statistics analysis of employment-based networks of neighborhoods.
Corina Graif, Brittany N Freelin, Yu-Hsuan Kuo, Hongjian Wang, Zhenhui Li, Daniel Kifer

Justice Q· April 2019

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Unifying Adversarial Training Algorithms with Data Gradient Regularization.
Alexander G Ororbia Ii, Daniel Kifer, C Lee Giles

Neural Comput· April 2017

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