arXiv:2601.02725v1 Announce Type: cross Abstract: We study the problem of sampling from a target distribution $pi(q)propto e^{-U(q)}$ on $mathbb{R}^d$, where $U$ can be non-convex, via the Hessian-free high-resolution (HFHR) dynamics, which is a second-order Langevin-type process that has $e^{-U(q)-frac12|p|^2}$ as its unique invariant distribution, and it reduces to kinetic Langevin dynamics (KLD) as the resolution parameter $alphato0$. The existing theory for HFHR dynamics in the literature is restricted to strongly-convex $U$, although numerical experiments are promising for non-convex […]

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arXiv:2601.12215v1 Announce Type: new Abstract: Wearable foundation models have the potential to transform digital health by learning transferable representations from large-scale biosignals collected in everyday settings. While recent progress has been made in large-scale pretraining, most approaches overlook the spectral structure of photoplethysmography (PPG) signals, wherein physiological rhythms unfold across multiple frequency bands. Motivated by the insight that many downstream health-related tasks depend on multi-resolution features spanning fine-grained waveform morphology to global rhythmic dynamics, we introduce Masked Multiscale […]

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arXiv:2601.00156v1 Announce Type: new Abstract: In this paper, we introduce an underexplored problem in facial analysis: generating and recognizing multi-attribute natural language descriptions, containing facial action units (AUs), emotional states, and age estimation, for arbitrarily selected face regions (termed FaceFocalDesc). We argue that the system’s ability to focus on individual facial areas leads to better understanding and control. To achieve this capability, we construct a new multi-attribute description dataset for arbitrarily selected face regions, providing rich region-level annotations […]

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arXiv:2601.14031v1 Announce Type: new Abstract: Intermittent time series, characterised by the presence of a significant amount of zeros, constitute a large percentage of inventory items in supply chain. Probabilistic forecasts are needed to plan the inventory levels; the predictive distribution should cover non-negative values, have a mass in zero and a long upper tail. Intermittent time series are commonly forecast using local models, which are trained individually on each time series. In the last years global models, which […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Why Zack Shooter Believes AI Agents Will Expose a Structural Fault Line in Financial Infrastructure By @stevebeyatte [ 4 Min read ] AI is ready for autonomous finance. But today’s financial infrastructure wasn’t built for software that moves money on its own. Read More. […]

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I love the feeling of having a new way to think about the world. I especially love when there’s some vague idea that gets formalized into a concrete concept. Information theory is a prime example of this. Information theory gives us precise language for describing a lot of things. How uncertain am I? How much does knowing the answer to question A tell me about the answer to question B? How similar is one set of beliefs to […]

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Key Highlights: Ford Pushes Deeper Into AI and Hands-Free Driving at CES 2026 Ford Motor Company unveiled plans for an AI-powered digital assistant and a next-generation version of its BlueCruise driver-assistance system at the Consumer Electronics Show 2026 in Las Vegas, outlining its latest push toward software-driven and hands-free vehicle technologies. The announcements were made during a “Great Minds” speaker session at CES, rather than a headline keynote, reflecting a more measured presence from the automaker at the […]

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