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Large-Scale Intelligent Systems: From Network Dynamics to Optimization Algorithms

By Sakshi Saxena

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Large-Scale Machine Learning Algorithms for Big Data

By Manpreet Pawar

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Latent Space Models of Plasmas: Virtual Metrology and Surrogate Plasma Models with Deep Generative Models

By Anika Vyas

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Learning Augmented Optimization for Network Softwarization in 5G

By Vedant Pal

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Learning Patterns with Kernels and Learning Kernels From Patterns

By Swapnil Oraon

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Learning to Calibrate Trust Through Explainability

By Hema Chandran

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Learning to Learn with Gradients

By Anamika Bhattacharya

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Learning Toward Object Invariance Across Modalities

By Prithvi Krishnan

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Learning Visual Groupings and Representations With Minimal Human Labels

By Arpita Bhatia

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Learning with Limited Labeled Data

By Anand Kumari

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