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50 Results:SS:APPLIEDMATHEMATICS PP:PRINCETON UNIVERSITY. 0.421 sec.
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1
Capturing Noncommutativity in Nonhomogeneous Random Matrices.
Capturing Noncommutativity in Nonhomogeneous Random Matrices.
Brailovskaya, Tatiana.Applied and Computational Ma | Princeton University. | 2024
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2
Interior Regularity for Area-Minimizing Currents.
Interior Regularity for Area-Minimizing Currents.
Skorobogatova, Anna.Mathematics. | Princeton University. | 2024
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3
Implicit Bias of Deep Learning Optimization: A Mathematical Examination.
Implicit Bias of Deep Learning Optimization: A Mathematical Examination.
Lyu, Kaifeng.Computer Science. | Princeton University. | 2024
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4
Adaptive Nonparametric Statistical Theory and Implementation.
Adaptive Nonparametric Statistical Theory and Implementation.
Chandak, Rajita.Operations Research and Financial | Princeton University. | 2024
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5
Global and Local Fundamental Groups in Algebraic Geometry.
Global and Local Fundamental Groups in Algebraic Geometry.
Figueroa Zamora, Fernando.Mathematics. | Princeton University. | 2024
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6
Ab Initio Multi-Scale Modeling of Crystals: Methods and Applications in Ferroelectrics.
Ab Initio Multi-Scale Modeling of Crystals: Methods and Applications in Ferroelectrics.
Xie, Pinchen.Applied and Computational Mathematics | Princeton University. | 2024
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7
Two Regularity Results in the Theory of Minimal Hypersurfaces.
Two Regularity Results in the Theory of Minimal Hypersurfaces.
Sarnataro, Lorenzo.Mathematics. | Princeton University. | 2024
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8
On Systems of Dynamic Graphs: Theory and Applications- [electronic resource]
On Systems of Dynamic Graphs: Theory and Applications- [electronic resource]
Dabke, Devavrat Vivek.Applied and Computational Ma | Princeton University. | 2023
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9
High-Dimensional Reinforcement Learning and Optimal Control Problems- [electronic resource]
High-Dimensional Reinforcement Learning and Optimal Control Problems- [electronic resource]
Long, Jihao.Applied and Computational Mathematics. | Princeton University. | 2023
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10
Scalable and Interpretable Learning With Probabilistic Models for Knowledge Discovery- [electronic resource]
Scalable and Interpretable Learning With Probabilistic Models for Knowledge Discovery- [electronic resource]
Liu, Sulin.Electrical and Computer Engineering. | Princeton University. | 2023
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