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Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
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Modeling the COVID-19 Pandemic: A Model-Driven and a Data-Driven Analyses
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A local-global principle for adjoint groups over function fields of p-adic curves
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The Applications of Alternating Minimization Algorithms on Deep Learning Models
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Local-global principles for hermitian spaces over semi-global fields
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Half Covering, Half Coloring
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On the Brauer group of a local field
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Linear Programming Approach for Q-Learning
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Representation Theory of Finite Groups and its Applications
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Measuring Calibrated Diversity Index
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