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Fiske, Lionel David
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Karamchandani, Avinash Jagdish
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Brian Hsu
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Chen, Yuxin
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Christopher Lee
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Machine Learning
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Computational Imaging
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Cultural Heritage Science
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Applied mathematics
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Northwestern Undergraduate Research Journal
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Undergraduate Research and Arts Expo
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Noise-induced Tipping under a Periodic Forcing
A Novel Parallel Adaptive Survivor Selection Framework for Large-Scale Simulation Opti...
Reduced Models for Noise-driven Limit-cycle Oscillators
Modeling Large-Scale Dynamics and Intercellular Communication in Bacterial Biofilms
A Computational Model of GCaMP6f in CA1 Pyramidal Neurons
Methods for the Imaging, Analysis, and Display of Layered Media
An Adaptive Constraint-Based Immersed Body Method for Multiphase Fluid-Structure Inter...
Asymptotic Uncertainty Quantification and Its Application in Efficient Sampling and Le...
Quantitative Descriptors of Particulate Dynamics in Biological Systems
Cut-and-Shuffle Mixing On a Hemispherical Shell and a Line Segment
Modeling of Structural Plasticity and Synchronization in the Rodent Olfactory Bulb
Stochastic Noise in Gene Expression Impacts Developmental Self-organization
Mathematical Models for Several Soft and Active Matter Systems
Topology Inspired Methods for the Design and Analysis of Transcriptomic Time-Series Da...
Multimodality in Social and Biological Systems
Symmetry, Synchronization, and Switching Chimeras
Recurrent inhibition within olfactory networks shapes noise correlations and stimulus ...
Topics in Machine Learning Optimization
Principled Analysis of High-Dimensional Data: How to Identify Signals while under the ...
Reduced Models for Noise-driven Limit-cycle Oscillators
Modelling Oxide Growth and Morphology Evolution During Alloy Oxidation and Corrosion
Fundamentals of thermosensory navigation in Drosophila
Dominance and Spatiotemporal Behavior in Cyclic Ecological Systems
Electrodynamics of particles in bulk fluid and on an interface
Modeling Epigenetic Dynamics Measured by Mass Spectrometry Using Continuous Time Marko...
Emergent Simplicity in Mathematical Models for Morphogenesis
Modeling the dynamical neural systems on different timescales
Rare Events in a Mode-Locked Fiber Laser
Methods for Stochastic, Noisy, and Derivative-Free Optimization
Nonlinear Dynamical Models: Politics, Stochastics, and a Mexican Hat Dance
Methods for the Imaging, Analysis, and Display of Layered Media
Distributed Optimization Methods In Large-Scale Systems With Realistic Constraints
Methods for Inferring Gene Regulatory Networks from Time Series Expression Data
Optimization Methods for Scale Invariant Problems in Machine Learning
Recurrent Neural Network Architectures for Sequence Classification and Explanation
Deep Learning: Neural Network Applications and Architectures in Sequence and Image Cla...
Mathematical Modeling of U.S. Elections
Selection and Analysis of U.S. Election Forecasting Models