151 citations · 219 across the 24 of their papers we have counts for
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mLR: Scalable Laminography Reconstruction based on Memoization
Bin Ma, Viktor Nikitin, Xi Wang +2
ADMM-FFT is an iterative method with high reconstruction accuracy for laminography but suffers from excessive computation time and large memory consumption. We introduce mLR, which…
RADAR-Radio Afterglow Detection and AI-driven Response: A Federated Framework for Gravitational Wave Event Follow-Up
Parth Patel, Alessandra Corsi, E. A. Huerta +11
The landmark detection of both gravitational waves (GWs) and electromagnetic (EM) radiation from the binary neutron star merger GW170817 has spurred efforts to streamline the follo…
Training-Free Inference for High-Resolution Sinogram Completion
Jiaze E, Srutarshi Banerjee, Tekin Bicer +3
High-resolution sinogram completion is critical for computed tomography reconstruction, as missing projections can introduce severe artifacts. While diffusion models provide strong…
ZenFlow: Enabling Stall-Free Offloading for LLM Training
Tingfeng Lan, Yusen Wu, Bin Ma +7
Fine-tuning large language models (LLMs) often exceeds GPU memory limits, prompting systems to offload model states to CPU memory. However, existing offloaded training frameworks l…
Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance
Refik Mert Cam, Junjing Deng, Rajkumar Kettimuthu +2
Ptychography is a data-intensive computational imaging technique that achieves high spatial resolution over large fields of view. The technique involves scanning a coherent beam ac…