17 citations · 49 across the 16 of their papers we have counts for
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cs.LG2024★ 1 cited
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
Vinith M. Suriyakumar, Rohan Alur, Ayush Sekhari +2
Text-to-image diffusion models rely on massive, web-scale datasets. Training them from scratch is computationally expensive, and as a result, developers often prefer to make increm…
cs.ET2024★ 5 cited
Architecture-Level Modeling of Photonic Deep Neural Network Accelerators
Tanner Andrulis, Gohar Irfan Chaudhry, Vinith M. Suriyakumar +2
Photonics is a promising technology to accelerate Deep Neural Networks as it can use optical interconnects to reduce data movement energy and it enables low-energy, high-throughput…