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Tensorized Clustered LoRA Merging for Multi-Task Interference
Zhan Su, Fengran Mo, Guojun Liang +4
Despite the success of the monolithic dense paradigm of large language models (LLMs), the LoRA adapters offer an efficient solution by fine-tuning small task-specific modules and m…
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation
Guojun Liang, Najmeh Abiri, Atiye Sadat Hashemi +3
Accurate imputation is essential for the reliability and success of downstream tasks. Recently, diffusion models have attracted great attention in this field. However, these models…
Expected Grad-CAM: Towards gradient faithfulness
Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat +2
Although input-gradients techniques have evolved to mitigate and tackle the challenges associated with gradients, modern gradient-weighted CAM approaches still rely on vanilla grad…
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk +1
Exploring the missing values is an essential but challenging issue due to the complex latent spatio-temporal correlation and dynamic nature of time series. Owing to the outstanding…