FGR
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Related Articles from SNS
Perspective of Fermi's golden rule and its generalizations in chemical physics
Announce Type: replace Abstract: This perspective provides a succinct history of Fermi's golden rule (FGR), overview of its derivation, assumptions, and representative forms. Major applications of FGR, mostly in the field of chemical physics, are reviewed. These illustrate the broad applicability and success of FGR.
Hidden tunnel discovered in Tijuana may have supported cross-border trafficking operations
Mexican authorities have uncovered a sophisticated underground tunnel near the U.S.-Mexico border that was equipped with lighting, ventilation and an electronic transport system, which they say may connect Tijuana to a street in San Diego. Mexico's Attorney General's Office, known as the FGR, announced the discovery Saturday following a search warrant executed at a property in the Nueva Tijuana neighborhood of Tijuana, Baja California. Authorities said the tunnel stretched approximately 265...
Target-Agnostic Calibration under Distribution Shift with Frequency-Aware Gradient Rectification
arXiv:2508.19830v2 Announce Type: replace Abstract: Real-world model deployments inevitably encounter distribution shifts, rendering the confidence estimates of deep neural networks highly unreliable, posing severe risks in safety-critical applications. Existing methods improve calibration via training-time regularization or post-hoc adjustment, but often rely on access to (or simulation of) target domains, limiting practicality. We propose Frequency-aware Gradient Rectification (FGR), a...
EvoPrompt: Guided Prompt Evolution for Vision-Language Models Adaptation
arXiv:2603.09493v2 Announce Type: replace Abstract: The adaptation of large-scale vision-language models (VLMs) to downstream tasks with limited labeled data remains a significant challenge. While parameter-efficient prompt learning methods offer a promising path, they often suffer from catastrophic forgetting of pre-trained knowledge. Toward addressing this limitation, our work is grounded in the insight that governing the evolutionary path of prompts is essential for forgetting-free...