arXiv:2601.05151v1 Announce Type: new Abstract: Feature selection (FS) is essential for biomarker discovery and in the analysis of biomedical datasets. However, challenges such as high-dimensional feature space, low sample size, multicollinearity, and missing values make FS non-trivial. Moreover, FS performances vary across datasets and predictive tasks. We propose roofs, a Python package available at https://gitlab.inria.fr/compo/roofs, designed to help researchers in the choice of FS method adapted to their problem. Roofs benchmarks multiple FS methods on the user’s data […]

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Almost every company and non-profit working on COVID-19 that I offered to help asked for support with clinical trials—for companies focusing on developing novel drugs, vaccines, and diagnostics, rapidly spinning up trials is one of their biggest bottlenecks.  Science remains the only way out of the COVID-19 crisis. Dramatically improving clinical trials, which are usually time-consuming and cost tens to hundreds of millions of dollars, is one of the highest-leverage ways to get out of it faster.   […]

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arXiv:2601.05394v2 Announce Type: new Abstract: We observe that Gaussians exhibit distinct roles and characteristics analogous to traditional artistic techniques — like how artists first sketch outlines before filling in broader areas with color, some Gaussians capture high-frequency features such as edges and contours, while others represent broader, smoother regions analogous to brush strokes that add volume and depth. Based on this observation, we propose a hybrid representation that categorizes Gaussians into (i) Sketch Gaussians, which represent high-frequency, boundary-defining […]

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In the previous case, I described how we optimized the art pipeline and produced a full set of production artifacts, accelerating art development by approximately 70% (you can read more about it here). However, the majority of these results would not have been achievable without addressing another critical factor—one that is often overlooked, yet fully capable of derailing even the best plans. That factor is the quality of the working day and cross-department interaction. Let’s walk through it […]

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I am pretty sure cryptocurrency is here to stay in some form (at least as a store of value, which is the only use case we have seen work at scale so far).  There was possibly a time when governments could have totally stopped it, but it feels like that’s in the rearview mirror. However, I think it’s very possible that the dominant cryptocurrency hasn’t been created yet (Google was years late to the search engine party, and […]

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arXiv:2601.00908v1 Announce Type: cross Abstract: Conformal prediction guarantees degrade under distribution shift. We study this using COVID-19 as a natural experiment across 8 supply chain tasks. Despite identical severe feature turnover (Jaccard approximately 0), coverage drops vary from 0% to 86.7%, spanning two orders of magnitude. Using SHapley Additive exPlanations (SHAP) analysis, we find catastrophic failures correlate with single-feature dependence (rho = 0.714, p = 0.047). Catastrophic tasks concentrate importance in one feature (4.5x increase), while robust tasks […]

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Hi everyone, I’ve been working in NLP for several years, and my role has gradually shifted from training models to mainly using LLM wrappers. I’m concerned that this kind of work may become less in demand in the coming years. I now have an opportunity to transition into Computer Vision. After about two months of self-study and research, I feel that the gap between academic research and real-world applications in CV is relatively large, and that the field […]

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Sending emails is a very important functionality for any website nowdays, either to send account verification emails, newsletter emails or even notification emails. Today I’ll be showing how you can create your own EmailSender Service in ASP.NET Core using FluentEmail and Razor templates for rich HTML emails. EmailSender interface If you’re working with a project that implements a Clean Architecture, you’ll want to create an interface in your Core project to define what you need the service to […]

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arXiv:2510.06527v2 Announce Type: replace-cross Abstract: We establish that randomly initialized neural networks, with large width and a natural choice of hyperparameters, have nearly independent outputs exactly when their activation function is nonlinear with zero mean under the Gaussian measure: $mathbb{E}_{z sim mathcal{N}(0,1)}[sigma(z)]=0$. For example, this includes ReLU and GeLU with an additive shift, as well as tanh, but not ReLU or GeLU by themselves. Because of their nearly independent outputs, we propose neural networks with zero-mean activation functions […]

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