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Sequential Decision Making Under Uncertainty: Optimality Guarantees, Compositional Learning, And Applications To Robotics And Ecology

By Monika Tudu

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Robotics And Automation In Cardiovascular-Inspired Platforms For Bioengineering

By Amardeep Brar

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Actuation Subspace Prediction With Neural Householder Transforms

By Suvendu Bhosale

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Convolutional Neural Networks For Indexing Transmission Electron Microscopy Patterns: A Proof Of Concept

By Sourabh Jain

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Data Balancing Approaches In Quality, Defect, And Pattern Analysis

By Ved Bhati

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Stable Dynamic Feedback-Based Predictive Clustering Protocol For Vehicular Ad Hoc Networks

By Saraswati Kalita

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Improving Classification In Single And Multi-View Images

By Pavithra Kumar

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The Use Of Negative Sampling In The Evaluation Of Link Prediction Algorithms

By Shrey Phadke

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Machine Learning With Many Users

By Rhea Shetty

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Simulating To Learn: Using Adaptive Simulation To Train, Test And Understand Neural Networks

By Sonali Baruah

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