PhD Dissertation Proposal Defense
PhD Dissertation Proposal: Deep Chakraborty, Information-Theoretic Methods for Understanding and Improving Representations in Neural Networks
In the first part of this thesis, we formulate a general-purpose information-theoretic criterion that allows further improving SSL representations.
PhD Dissertation Proposal: Vikas Thamizharasan, Generative Models for Parametric Curves and Surfaces
This thesis investigates generative models for parametric curves and surfaces.
PhD Dissertation Proposal Defense: Aparimit Chandra, Performance of Operational Quantum Network Processes
We focus on three fundamental processes: quantum teleportation with noisy memories, error correction in quantum storage, and distributed blind quantum computing
PhD Dissertation Proposal: Vignesh Viswanathan, Fair Allocation of Indivisible Items: New Algorithms and Hardness Results
In this thesis, I focus on the computability of allocations which maximize well known fairness objectives
PhD Dissertation Proposal: Elita Lobo, Robust Machine Learning Methods for Uncertain Environments
This thesis addresses challenges with robust algorithms tackling different aspects of uncertainty, including RL, resource allocation, explainability and LLMs.