Tucson
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Ted Bundy's cousin recalls the chilling moment that exposed the monster within
This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . Timeline: NBC host Savannah Guthrie's mother disappears as sheriff says'everybody's still a suspect' Arizona family sues hospital, says staff'Ubered' sick son to sidewalk where he died Medical examiner determines Texas A&M student's manner of death as family attorney disputes finding: 'Flawed' Dramatic bodycam video captures deputy pulling woman from fiery car wreck: 'I got to her just in time' NJ tech boss convicted of quadruple murder in 2018 killing of brother's family Genealogy company exec slams Pima sheriff's'devastating' move to ship Nancy Guthrie evidence to Florida lab Walmart sales records become critical evidence as FBI investigates Nancy Guthrie's disappearance Feds double Nancy Guthrie reward as former FBI agents suggest they're seeking an insider tip Savannah Guthrie's mother abducted from upscale neighborhood as Tucson crime'spins out of control' SWAT was prepared for possibly'very dangerous' situation in Guthrie case, expert says A man is detained near Nancy Guthrie's house Second Pima County SWAT vehicle seen leaving scene of law enforcement operation in Tucson, Ariz.
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NBC anchor Savannah Guthrie's mother has been abducted, sheriff suspects
NBC anchor Savannah Guthrie's mother has been abducted, sheriff suspects The mother of US news anchor Savannah Guthrie has been abducted and didn't go willingly from her home, Arizona law enforcement officials suspect. Nancy Guthrie, the 84-year-old mother of the NBC News host, was last seen in her house outside Tucson, Arizona, on Saturday evening. Her family reported her missing a day later. When authorities arrived, the scene of Nancy Guthrie's property caused grave concern, Pima County Sheriff Chris Nanos said. He did not provide a possible motive and, while there was no initial indication Nancy Guthrie could have been targeted because of her name, the sheriff said we can't dismiss that. I believe she was abducted, yes, Sheriff Nanos told CBS, the BBC's US partner.
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Adaptive Path Integral Diffusion: AdaPID
Chertkov, Michael, Behjoo, Hamidreza
Diffusion-based samplers -- Score Based Diffusions, Bridge Diffusions and Path Integral Diffusions -- match a target at terminal time, but the real leverage comes from choosing the schedule that governs the intermediate-time dynamics. We develop a path-wise schedule -- selection gramework for Harmonic PID with a time-varying stiffness, exploiting Piece-Wise-Constant(PWC) parametrizations and a simple hierarchical refinement. We introduce schedule-sensitive Quality-of-Sampling (QoS) diagnostics. Assuming a Gaussian-Mixture (GM) target, we retain closed-form Green functions' ration and numerically stable, Neural-Network free oracles for predicted-state maps and score. Experiments in 2D show that QoS driven PWC schedules consistently improve early-exit fidelity, tail accuracy, conditioning of the dynamics, and speciation (label-selection) timing at fixed integration budgets.
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PrefGen: Multimodal Preference Learning for Preference-Conditioned Image Generation
Mo, Wenyi, Zhang, Tianyu, Bai, Yalong, Han, Ligong, Ba, Ying, Metaxas, Dimitris N.
Preference-conditioned image generation seeks to adapt generative models to individual users, producing outputs that reflect personal aesthetic choices beyond the given textual prompt. Despite recent progress, existing approaches either fail to capture nuanced user preferences or lack effective mechanisms to encode personalized visual signals. In this work, we propose a multimodal framework that leverages multimodal large language models (MLLMs) to extract rich user representations and inject them into diffusion-based image generation. We train the MLLM with a preference-oriented visual question answering task to capture fine-grained semantic cues. To isolate preference-relevant features, we introduce two complementary probing tasks: inter-user discrimination to distinguish between different users, and intra-user discrimination to separate liked from disliked content. To ensure compatibility with diffusion text encoders, we design a maximum mean discrepancy-based alignment loss that bridges the modality gap while preserving multimodal structure. The resulting embeddings are used to condition the generator, enabling faithful adherence to both prompts and user preferences. Extensive experiments demonstrate that our method substantially outperforms strong baselines in both image quality and preference alignment, highlighting the effectiveness of representation extraction and alignment for personalized generation.
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