Author

Anastasios Kyrillidis

3 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.

#artificial intelligence Preprint Oct 2026

Decoupling Memory from Context: Structured Memory for Token-Efficient Test-Time Continual Learning

Large language models (LLMs) are increasingly deployed in enterprise, scientific, and medical applications, where agents must incorporate domain-specific knowledge and adapt from experience. Context engineering offers a practical alternative to weight updates by improving model behavior through instructions, strategies...

Yehya Farhat, Michael Desmond, Anastasios Kyrillidis · 0 citations

#machine learning Preprint Sep 2026

Understanding the Subspace Stabilization of the Hessian and Gradient Covariance Matrix

In the gradient flow set-up, it is shown that the slow evolution of the idenfied approximation is due to the separation between the outlier and the bulk eigenvalues of the Hessian matrix, thus providing an explanation to the phenomenon of the top subspace stabilization of the Hessian matrix.

Fang-Shuo Liao, Anastasios Kyrillidis · 0 citations

#machine learning Open access Sep 2025

ADAPT: Lightweight, Long-Range Machine Learning Force Fields Without Graphs

This work introduces the ADAPT, an MLFF that replaces graph representations with a direct coordinates-in-space formulation and explicitly considers all pairwise atomic interactions, achieving a roughly 22% reduction in force and a roughly 40 percent reduction in energy prediction error relative to a state-of-the-art GN...

Evan Dramko, Yihuang Xiong, Yizhi Zhu et al. · Physical Review Research · 4 citations