mailitics

Tag: free

  • Surprisal-R’enyi Free Energy

    Surprisal-R’enyi Free Energy arXiv:2603.03405v1 Announce Type: new Abstract: The forward and reverse Kullback-Leibler (KL) divergences arise as limiting objectives in learning and inference yet induce markedly different inductive biases that cannot be explained at the level of expectations alone. In this work, we introduce the Surprisal-R’enyi Free Energy (SRFE), a log-moment-based functional of the likelihood…

  • Any other free options that are similar to ShotBot?

    Any other free options that are similar to ShotBot? submitted by /u/Party_Bus_3809 [link] [comments] /u/Party_Bus_3809 Go to original source

  • Free data set that links company to type of activity?

    Free data set that links company to type of activity? Best ressource to classify for example: walmart. food ( top classification) supermarket ( sub classification). I work with european companies also. thanks. submitted by /u/Due-Duty961 [link] [comments] /u/Due-Duty961 Go to original source

  • Hypothesis-free discovery from epidemiological data by automatic detection and local inference for tree-based nonlinearities and interactions

    Hypothesis-free discovery from epidemiological data by automatic detection and local inference for tree-based nonlinearities and interactions arXiv:2505.00571v1 Announce Type: new Abstract: In epidemiological settings, Machine Learning (ML) is gaining popularity for hypothesis-free discovery of risk (or protective) factors. Although ML is strong at discovering non-linearities and interactions, this power is currently compromised by a lack…

  • Likelihood-Free Variational Autoencoders

    Likelihood-Free Variational Autoencoders arXiv:2504.17622v1 Announce Type: new Abstract: Variational Autoencoders (VAEs) typically rely on a probabilistic decoder with a predefined likelihood, most commonly an isotropic Gaussian, to model the data conditional on latent variables. While convenient for optimization, this choice often leads to likelihood misspecification, resulting in blurry reconstructions and poor data fidelity, especially for…

  • Expected Free Energy-based Planning as Variational Inference

    Expected Free Energy-based Planning as Variational Inference arXiv:2504.14898v1 Announce Type: new Abstract: We address the problem of planning under uncertainty, where an agent must choose actions that not only achieve desired outcomes but also reduce uncertainty. Traditional methods often treat exploration and exploitation as separate objectives, lacking a unified inferential foundation. Active inference, grounded in…

  • Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems

    Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems arXiv:2504.13320v1 Announce Type: new Abstract: We introduce a gradient-free framework for Bayesian Optimal Experimental Design (BOED) in sequential settings, aimed at complex systems where gradient information is unavailable. Our method combines Ensemble Kalman Inversion (EKI) for design optimization with the Affine-Invariant Langevin Dynamics (ALDI) sampler for…

  • FEAT: Free energy Estimators with Adaptive Transport

    FEAT: Free energy Estimators with Adaptive Transport arXiv:2504.11516v1 Announce Type: new Abstract: We present Free energy Estimators with Adaptive Transport (FEAT), a novel framework for free energy estimation — a critical challenge across scientific domains. FEAT leverages learned transports implemented via stochastic interpolants and provides consistent, minimum-variance estimators based on escorted Jarzynski equality and controlled…

  • Classifier-free guidance for LLMs performance enhancing

    Classifier-free guidance for LLMs performance enhancing Classifier-Free Guidance for LLMs Performance Enhancing Check and improve classifier-free guidance for text generation large language models. While participating in NeurIPS 2024 Competitions track I was awarded the second prize in the LLM Privacy challenge. The solution I had used classifier-free guidance (CFG). I noticed that with high CFG guidance…

  • free pictures?

    https://www.metmuseum.org/art/collection https://ideogram.ai/