Author

Yana Hasson

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Preprint Aug 2026

Kastor: An efficient fine-tuning strategy for generative emulation of PDE simulations

This paper proposes Kastor, a comprehensive methodology to adapt a deterministic physics foundation model into a highly efficient and accurate generative surrogate, and introduces a two-stage inference scheme that combines a large-stride causal auto-regressive model with a non-causal temporal super-resolution network,...

Guillaume Couairon, Alexis Jacq, Yu-Han Wu et al. · 0 citations

Replay-free Sequential Fine-tuning of Medical VLMs

The streamlined, replay-free approach proves highly effective on a new continual learning benchmark and a practical path toward building prehensive, continually-learning medical VLMs and advancing the development of medical AI.

Hefei Li, Yuhui Zhang, Xiaohan Wang et al. · 0 citations