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.
This work proposes COMPASS (Continual Online foundation Model-based PPM with Adaptive SubSpaces), the first framework for online continual fine-tuning of FMs for PPM, which outperforms three SOTA non-FM competitors and two update strategy baselines.
D-TAIA is introduced, a framework for a joint next activity and remaining time prediction task via parameter-efficient fine-tuning of an FM backbone that combines domain-aware triplet loss pre-training with FAISS-based nearest neighbor retrieval for remaining time prediction, and adopts the TAIA inference strategy to preserve pre-trained sequential reasoning during fine-tuning.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
