mailitics

Tag: block

  • Bayesian Modeling of Collatz Stopping Times: A Probabilistic Machine Learning Perspective

    Bayesian Modeling of Collatz Stopping Times: A Probabilistic Machine Learning Perspective arXiv:2603.04479v1 Announce Type: new Abstract: We study the Collatz total stopping time $tau(n)$ over $nle 10^7$ from a probabilistic machine learning viewpoint. Empirically, $tau(n)$ is a skewed and heavily overdispersed count with pronounced arithmetic heterogeneity. We develop two complementary models. First, a Bayesian hierarchical…

  • So what do y’all think of the Block layoffs?

    So what do y’all think of the Block layoffs? My upcoming interview with Block got canceled, and I am in a bit of relief but at the same time it made me question where is the industry in general headed to. Block CEO is attributing the layoffs to AI. As an active job seeker and…

  • Neuron Block Dynamics for XOR Classification with Zero-Margin

    Neuron Block Dynamics for XOR Classification with Zero-Margin arXiv:2602.00172v1 Announce Type: new Abstract: The ability of neural networks to learn useful features through stochastic gradient descent (SGD) is a cornerstone of their success. Most theoretical analyses focus on regression or on classification tasks with a positive margin, where worst-case gradient bounds suffice. In contrast, we…

  • CN-SBM: Categorical Block Modelling For Primary and Residual Copy Number Variation

    CN-SBM: Categorical Block Modelling For Primary and Residual Copy Number Variation arXiv:2506.22963v1 Announce Type: new Abstract: Cancer is a genetic disorder whose clonal evolution can be monitored by tracking noisy genome-wide copy number variants. We introduce the Copy Number Stochastic Block Model (CN-SBM), a probabilistic framework that jointly clusters samples and genomic regions based on…