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07/15/2023
Gradient-free training of neural ODEs for system identification and control using ensemble Kalman inversion
Ensemble Kalman inversion (EKI) is a sequential Monte Carlo method used ...
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03/28/2023
Modeling and forecasting age-specific drug overdose mortality in the United States
Drug overdose deaths continue to increase in the United States for all m...
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08/28/2022
Visualizing high-dimensional loss landscapes with Hessian directions
Analyzing geometric properties of high-dimensional loss functions, such ...
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06/22/2022
Near-optimal control of dynamical systems with neural ordinary differential equations
Optimal control problems naturally arise in many scientific applications...
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02/06/2022
Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems
Solving analytically intractable partial differential equations (PDEs) t...
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01/16/2022
Solving Inventory Management Problems with Inventory-dynamics-informed Neural Networks
A key challenge in inventory management is to identify policies that opt...
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10/05/2021
Tradeoffs in Hierarchical Voting Systems
Condorcet's jury theorem states that the correct outcome is reached in d...
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09/22/2021
Epidemic Management and Control Through Risk-Dependent Individual Contact Interventions
Testing, contact tracing, and isolation (TTI) is an epidemic management ...
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05/24/2021
A statistical model of COVID-19 testing in populations: effects of sampling bias and testing errors
We develop a statistical model for the testing of disease prevalence in ...
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03/11/2021
Implicit energy regularization of neural ordinary-differential-equation control
Although optimal control problems of dynamical systems can be formulated...
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06/17/2020
NNC: Neural-Network Control of Dynamical Systems on Graphs
We study the ability of neural networks to steer or control trajectories...
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02/26/2020
Unifying susceptible-infected-recovered processes on networks
Waiting times between two consecutive infection and recovery events in s...
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01/15/2020