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Embedding Networks: Node and Graph Level Representations
Graph neural networks gained significant attention for graph representation and classification in the machine learning community. For graph classification, different pooling techniques are introduced, but none of them has ...
Efficient Key Management Protocols for Secure Routing and End-to-End Key Establishment with Enhanced Security in Mobile Ad hoc Networks
There is a need to protect mobile ad hoc network (MANET) from external attackers as well as internal attackers during route discovery and end-to-end key establishment. During route discovery, the external attackers can be ...
On Learning and Lower Bound Problems Related to the Iterated Matrix Multiplication Polynomial
The iterated matrix multiplication polynomial (IMM) of width w and length d is the 1x1 entry in the product of d square matrices of size w. The w^2d entries in the d matrices are distinct variables. In this thesis, we study ...
Algorithms for Social Good in Online Platforms with Guarantees on Honest Participation and Fairness
Recent decades have seen a revolution in the way people communicate, buy products, learn new things, and share life experiences. This has spurred the growth of online platforms that enable users from all over the globe to ...
Verification of a Generative Separation Kernel
A Separation Kernel is a small specialized microkernel that provides a sand-boxed execution environment
for a given set of processes (also called \subjects"). The subjects may communicate
only via declared memory channels, ...
Approximation Algorithms for Geometric Packing and Covering Problems
We study a host of geometric optimization problems that are NP-hard and design polynomial time approximation algorithms for them. More precisely, we are given a family of geometric objects and a point set, mostly in the ...
Deep Learning Models for Few-shot and Metric Learning
Deep neural network-based models have achieved unprecedented performance levels over many tasks in the traditional supervised setting and scale well with large quantities of data. On the other hand, improving performance ...
Geometric and Topological Methods for Biomolecular Visualization
Biomolecules like proteins are the basic building blocks of living systems. It has been observed that the structure of a biomolecule plays an important role in defining its function. In this thesis, we describe novel ...
Utilizing Worker Groups And Task Dependencies in Crowdsourcing
Crowdsourcing has emerged as a convenient mechanism to collect human judgments on a variety of tasks, ranging from document and image classification to scientific experimentation. However, in recent times crowdsourcing has ...
Learning Tournament Solutions from Preference-based Multi-Armed Bandits
We consider the dueling bandits problem, a sequential decision task where the goal is to learn to pick `good' arms out of an available pool by actively querying for and observing relative preferences between selected pairs ...