3 papers
math.ST2026
A proximal gradient algorithm for composite log-concave sampling
Linghai Liu, Sinho Chewi
We propose an algorithm to sample from composite log-concave distributions over , i.e., densities of the form , assuming access to gradient evaluat…
cs.CR2025
Keep the Lights On, Keep the Lengths in Check: Plug-In Adversarial Detection for Time-Series LLMs in Energy Forecasting
Hua Ma, Ruoxi Sun, Minhui Xue +4
Accurate time-series forecasting is increasingly critical for planning and operations in low-carbon power systems. Emerging time-series large language models (TS-LLMs) now deliver…
cs.AI2023
RAI4IoE: Responsible AI for Enabling the Internet of Energy
Minhui Xue, Surya Nepal, Ling Liu +5
This paper plans to develop an Equitable and Responsible AI framework with enabling techniques and algorithms for the Internet of Energy (IoE), in short, RAI4IoE. The energy sector…