AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Proposed HyperForecast is the first long-term time series forecasting (LTSF) framework operating in hyperbolic space and consistently outperforms existing and state-of-the-art baselines on 9 of 11 long-term forecasting benchmarks, achieving up to 58% lower mean squared error at long horizons.
HyperGuide is introduced, a framework that treats reasoning as movement through a tree of states embedded in hyperbolic space that matches or exceeds the accuracy of search- and verifier-based baselines while generating substantially fewer tokens than these baselines and about as many as few-shot prompting.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.