5 citations · 9 across the 15 of their papers we have counts for
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Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling
Shayan Mohajer Hamidi, En-Hui Yang, Ben Liang
Inverse problems, where the goal is to recover an unknown signal from noisy or incomplete measurements, are central to applications in medical imaging, remote sensing, and computat…
Towards Undistillable Models by Minimizing Conditional Mutual Information
Linfeng Ye, Shayan Mohajer Hamidi, En-hui Yang
A deep neural network (DNN) is said to be undistillable if, when used as a black-box input-output teacher, it cannot be distilled through knowledge distillation (KD). In this case,…
Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification
Thanushon Sivakaran, En-Hui Yang
Although large language models (LLMs) have demonstrated remarkable capabilities in recent years, the potential of information theory (IT) to enhance LLM development remains underex…
Coded Deep Learning: Framework and Algorithm
En-hui Yang, Shayan Mohajer Hamidi
The success of deep learning (DL) is often achieved with large models and high complexity during both training and post-training inferences, hindering training in resource-limited…
Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems
Shayan Mohajer Hamidi, En-Hui Yang
Inverse problems are prevalent across various disciplines in science and engineering. In the field of computer vision, tasks such as inpainting, deblurring, and super-resolution ar…