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Found 5 papers, 2 papers with code
Collaborative planning and optimization for electric-thermal-hydrogen-coupled energy systems with portfolio selection of the complete hydrogen energy chain
Therefore, this paper proposes a high-resolution collaborative planning model for electricity-thermal-hydrogen-coupled energy systems considering both the spatiotemporal distribution characteristics of renewable energy resources and the multi-scale bottom-to-top investment strategy for the complete hydrogen energy chain.
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Quantization is an indispensable technique for serving Large Language Models (LLMs) and has recently found its way into LoRA fine-tuning.
Deep Reinforcement Learning with Hierarchical Reward Modeling
Researchers typically utilize feedback signals from the environment to handcraft a reward function, but this process is not always effective due to the varying scale and intricate dependencies of the feedback signals.
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
Pruning enhances the diversity of low-rank approximations, and low-rank approximation prevents pruning from losing too many expressive neurons.
A Review of Changepoint Detection Models
The objective of the change-point detection is to discover the abrupt property changes lying behind the time-series data.
