by ODEFTO AI Labs
arXiv:2508.03858v1 Announce Type: new Abstract: Agentic AI systems capable of reasoning, planning, and executing actions present fundamentally distinct governance challenges…
arXiv:2508.03546v2 Announce Type: replace-cross Abstract: This paper studies the problem of dimension reduction, tailored to improving time series forecasting with…
arXiv:2508.04401v1 Announce Type: cross Abstract: The remarkable success of Large Language Models (LLMs) in generative tasks has raised fundamental questions…
arXiv:2508.04406v1 Announce Type: cross Abstract: Renovating existing buildings is essential for climate impact. Early-phase renovation planning requires simulations based on…
arXiv:2508.02724v1 Announce Type: cross Abstract: Urban air pollution is a major health crisis causing millions of premature deaths annually, underscoring…
arXiv:2507.20968v2 Announce Type: replace-cross Abstract: Domain shift poses a fundamental challenge in time series analysis, where models trained on source…
arXiv:2505.03646v2 Announce Type: replace-cross Abstract: Adversarial robustness of deep autoencoders (AEs) remains relatively unexplored, even though their non-invertible nature poses…
arXiv:2508.02741v1 Announce Type: cross Abstract: Large-scale tuberculosis (TB) screening is limited by the high cost and operational complexity of traditional…
arXiv:2508.03342v1 Announce Type: cross Abstract: Existing cybersecurity playbooks are often written in heterogeneous, non-machine-readable formats, which limits their automation and…
arXiv:2508.00912v1 Announce Type: cross Abstract: Commercial LLM services often conceal internal reasoning traces while still charging users for every generated…