1 citations · 1 across the 4 of their papers we have counts for
4 papers
Cerium: A Multi-GPU Framework for Terabyte-Scale Encrypted Inference
Siddharth Jayashankar, Joshua Kim, Michael B. Sullivan +2
Encrypted AI using fully homomorphic encryption (FHE) enables inference directly over encrypted queries, providing strong privacy guarantees. However, its computational and memory…
FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning
Ujunwa Mgboh, Rafi Ibn Sultan, Joshua Kim +2
Fluence map prediction is central to automated radiotherapy planning but remains an ill-posed inverse problem due to the complex relationship between volumetric anatomy and beam-in…
Fluence Map Prediction with Deep Learning: A Transformer-based Approach
Ujunwa Mgboh, Rafi Sultan, Dongxiao Zhu +1
Accurate fluence map prediction is essential in intensity-modulated radiation therapy (IMRT) to maximize tumor coverage while minimizing dose to healthy tissues. Conventional optim…
AGNOMIN -- Architecture Agnostic Multi-Label Function Name Prediction
Yonatan Gizachew Achamyeleh, Tongtao Zhang, Joshua Hyunki Kim +4
Function name prediction is crucial for understanding stripped binaries in software reverse engineering, a key step for \textbf{enabling subsequent vulnerability analysis and patch…