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01.31.25
IDEAS/STAT Optimization Seminar: “Foundations of Deep Learning: Optimization and Representation Learning”
Deep learning’s success stems from the ability of neural networks to automatically discover meaningful representations from raw data. In this talk, I will describe some recent insights into how optimization […]
01.31.25
01.29.25
IDEAS/STAT Optimization Seminar
06.05.24
infoLeNS Seminar: “Emerging computational imaging inverse problems: from theory to algorithms”
In this talk, I will focus on two challenging imaging systems: snapshot compressive imaging and coherent imaging under speckle noise interference. I will begin by reviewing the core mathematical modeling […]
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