1 citations · 3 across the 7 of their papers we have counts for
7 papers
Studying quantization trade-offs for efficient inference deployment in machine translation
Jim Zhao, Sohir Maskey, Koen Oostermeijer +2
Deploying large language models in realistic server environments poses challenges, as the system needs to provide high-quality responses with low latency. Quantization is a common…
Optimizer choice matters for the emergence of Neural Collapse
Jim Zhao, Tin Sum Cheng, Wojciech Masarczyk +1
Neural Collapse (NC) refers to the emergence of highly symmetric geometric structures in the representations of deep neural networks during the terminal phase of training. Despite…
Cubic regularized subspace Newton for non-convex optimization
Jim Zhao, Aurelien Lucchi, Nikita Doikov
This paper addresses the optimization problem of minimizing non-convex continuous functions, which is relevant in the context of high-dimensional machine learning applications char…
A CT Image Denoising Method with Residual Encoder-Decoder Network
Helena Shawn, Thompson Chyrikov, Jacob Lanet +3
Utilizing a low-dose CT approach significantly reduces the radiation exposure for patients, yet it introduces challenges, such as increased noise and artifacts in the resultant ima…
The Limits of Perception: Analyzing Inconsistencies in Saliency Maps in XAI
Anna Stubbin, Thompson Chyrikov, Jim Zhao +1
Explainable artificial intelligence (XAI) plays an indispensable role in demystifying the decision-making processes of AI, especially within the healthcare industry. Clinicians rel…
A Spectrum-based Image Denoising Method with Edge Feature Enhancement
Peter Luvton, Alfredo Castillejos, Jim Zhao +1
Image denoising stands as a critical challenge in image processing and computer vision, aiming to restore the original image from noise-affected versions caused by various intrinsi…
Advancing Hyperspectral Targeted Alpha Therapy with Adversarial Machine Learning
Jim Zhao, Greg Leadman
Targeted Alpha Therapy (TAT) has emerged as a promising modality for the treatment of various malignancies, leveraging the high linear energy transfer (LET) and short range of alph…