AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,686 papers
Standard diffusion samplers generate samples through repeated evaluations of a learned score function. Parallel sampling methods seek to accelerate generation by trading additional evaluations for fewer sequential rounds. This raises the question of how much sequential dependence is unavoidable, even when many score qu...
In human-AI collaborative decision making, human review can prevent unsafe AI decisions, but each human judgment is costly. Treating human intervention after AI abstention as a one-off fallback misses the opportunity to improve future AI decisions for greater automation, yet AI adaptively learning from selectively quer...
While offline reinforcement learning (RL) enables policy optimization from static datasets without costly online interaction, it remains bottlenecked by the risk of executing out-of-distribution (OOD) actions. Recent approaches mitigate this by learning a behavior-cloning policy through flow matching and then performin...
Black-box optimization problems are ubiquitous across science and engineering, often dealing with expensive objective functions. This objective latency has two consequences during optimization: (i) the objective evaluation dominates execution time, and (ii) sample-efficient algorithms are crucial to accelerate developm...
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Spatio-temporal forecasting is a cornerstone of logistics, urban planning, and intelligent transportation systems. However, constrained by deployment costs and maintenance resources, sensor networks often lack comprehensive spatial coverage, rendering Forecast Unobserved Node States (FUNS) a critical yet formidable cha...
Inverse optimization estimates the weights of an objective function that explain observed decisions as optimal solutions, and is used in a variety of fields. For mixed-integer linear programs (MILPs), existing methods aim to reproduce the observations as optimal solutions, and thus learn compromise weights when the obs...
Obsessive-compulsive disorder (OCD) is highly polygenic, and the largest genome-wide association study (GWAS) to date — 53,660 cases and 2,044,417 controls — identified only 30 loci, a small fraction of those expected to cause disease and too few to resolve the underlying biological pathways. Some dogs naturally develo...
This deposit contains the re-executable analysis pipeline and aggregate results for a two-cohort study of weekly reflective journals in an introductory linear algebra course. It accompanies a manuscript submitted to the International Journal of Mathematical Education in Science and Technology. The underlying corpus of...
This folder consists of dataset and script used in the analysis presented in "A low-metallicity dwarf galaxy rapidly forming massive stars at the break of cosmic dawn", by Morishita et al., submitted to Science.
Rural depopulation and territorial imbalances are ongoing challenges that require innovative tools for understanding community needs and informing evidence-based policy. Sentiment Analysis (SA) has emerged as a promising methodology for extracting emotional information from large volumes of digital text data. However,...
This study aims to examine the effect of implementing the Discovery Learning model on fifth-grade students' Science Process Skills (SPS) concerning Earth's structure at SDN Gelam 1 Candi. The underlying issue was students' suboptimal science process skills stemming from conventional teacher-centered instructional pract...
This study was motivated by the low learning outcomes in Natural and Social Sciences (IPAS) among fourth-grade students at SD Negeri 173307 Sipultak, which were presumed to be influenced by teacher-centered instruction and the limited use of varied learning models and interactive instructional media. This study aimed t...
A machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Health & Bioscience
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Data Mining & Modeling
GPT-Lab
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Nov 3, 2026
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
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