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Trump’s library team claims they can’t find a single Twitter DM despite president’s 25,000 tweets during his first term
Trump’s library team claims they can’t find a single Twitter DM despite president’s 25,000 tweets during his first term Court records show Twitter identified at least 32 Twitter DMs sent or received by the president before January 6 - Bookmark - CommentsGo to comments Donald Trump’s newly launched presidential library says it cannot find a single direct message sent by the president from his Twitter account despite the prolific poster firing off thousands of tweets during his first...
Fast Image Super-Resolution via Consistency Rectified Flow
arXiv:2605.12377v2 Announce Type: replace Abstract: Diffusion models (DMs) have demonstrated remarkable success in real-world image super-resolution (SR), yet their reliance on time-consuming multi-step sampling largely hinders their practical applications. While recent efforts have introduced few- or single-step solutions, existing methods either inefficiently model the process from noisy input or fail to fully exploit iterative generative priors, compromising the fidelity and quality of...
Keep an eye on ‘radicalisation centres’ in border areas: Amit Shah
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Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models
arXiv:2606.08438v1 Announce Type: cross Abstract: Bayesian optimization (BO) is a widely used approach for black-box optimization that uses a Gaussian process (GP) as a surrogate and guides sequential evaluations via an acquisition function, with the ultimate goal of locating the global optimum $\mathbf{x}^{\star}$. To align with this goal, information-based acquisition functions such as Predictive Entropy Search (PES) model $\mathbf{x}^{\star}$ as a random variable and reduce the entropy of...
How the body creates reliable antibodies out of biological chaos
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'World's Best Ex-Girlfriend' Morgan Riddle done dating athletes, Nikki Spoelstra's selfies for haters & malls
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Surrogate normal-forms for the numerical bifurcation and stability analysis of navier-stokes flows via machine learning
Announce Type: replace-cross Abstract: Inspired by the Equation-Free paradigm, we propose an ``embed-learn-lift'' framework for constructing minimal-dimensional surrogate ROMs for the numerical analysis of high-fidelity Navier-Stokes simulations, even in the presence of symmetries that standard machine-learning surrogates often fail to preserve. The framework consists of four main stages.
WWE's Liv Morgan flying off the top rope for bikini season, Emily Elizabeth living a daydream & weekend meat
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Can We Predict The Human Preference For Text-to-Image Content Prior To Generation And Is It Even Useful To Do So?
arXiv:2606.05478v1 Announce Type: new Abstract: Diffusion Models (DM) have revolutionized text-driven generation by enabling the synthesis of high-quality, photorealistic visual content from user prompts. Whereas prior advances in visual generation such as VAEs and GANs were primarily evaluated on perceptual or visual similarity metrics such as FID PSNR, DM advances have fostered the development of more advanced Human Preference Metrics (HPM) that model and quantify human judgment as scalar...