This repository contains the official code and datasets for the paper, "Continuous Temporal Domain Generalization", accepted by NeurIPS 2024. TL;DR: The study proposes a method capable of generating ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
A governance and management layer for autonomous AI agents. The Agent Control Plane treats the LLM as a raw compute component and provides a kernel-like layer for safe, controlled execution. 🎯 ...
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