Abstract: Text-to-image diffusion models have shown powerful ability on conditional image synthesis. With large-scale vision-language pre-training, diffusion models are able to generate high-quality ...
Abstract: Insider threat detection (ITD) remains a significant challenge in cybersecurity due to the concealed nature of malicious activities by trusted insiders. This paper introduces a novel ...
Deep learning methods to detect and mitigate bias have revolved around modifying models, optimization strategies, and threshold calibration with varying levels of success and tradeoffs. However, there ...
This notebook focuses on generic matched filtering, exploring the tradeoffs between waveform design parameters and their impact on range resolution and sidelobe performance. Implements the ...
1️⃣ We present an interesting attempt, as illustrated in the figure below: Using the latest GPT-4o large model to generate schematic cancer gene identification. It is undeniable that the LLM possesses ...
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