Master's Theses & Technical Reports - Kannan Ramchandran
M.S.
Pairwise Proximal Policy Optimization: Large Language Models Alignment via Comparative RL
Tianhao Wu [2024]
Pairwise Proximal Policy Optimization: Large Language Models Alignment via Comparative RL
Tianhao Wu [2024]
Efficient Clustering Frameworks for Federated Learning Systems
Jichan Chung [2023]
On Collaborative Intelligence
Ramasubramanian Balasubramanian [2019]
Using Adaptive and Cooperative Adaptive Cruise Control to Maximize Throughput of Signalized Arterials
Daniel Albarnaz Farias [2017]
An Optimized Distributed Video-on-Demand Streaming System: Theory and Design
Kang Wook Lee [2012]
Private Media Search on Public Databases
Giulia Fanti [2012]
Characterizing Errors in RF Time of Flight Ranging Systems: A Simulation Approach
David Tung [2010]
Codes and Game Theory for Key Agreement with Untrusted Participants
Nebojsa Milosavljevic [2010]
Remote Source Coding and AWGN CEO Problems
Krishnan Eswaran [2005]
5th Year M.S.
Advancing Robust and Aligned Measures of Semantic Similarity in Large Language Models
Samarth Goel [2024]
Layerwise Training of Deep Neural Networks
Elicia Ye [2023]
Fast Secure and Robust Aggregation Learning Frameworks on Distributed and Federated Setups
Beom Jin Lee [2021]
Geometric Properties of Backdoored Neural Networks
Dominic Carrano [2021]
Proof-of-Stream: A Robust Incentivization Protocol for Blockchain-based Hybrid Video on Demand Systems
Yudi Tan [2021]
A Likelihood-based Deconvolution of Bulk Gene Expression Data Using Single-cell References
Justin Hong [2020]
CoMParE: Conductance based Model Parameter Evaluation
Kyung Geun Kim [2020]