Francesco Tudisco

Associate Professor@University of Edinburgh, University of Edinburgh·英国·OpenReview

研究方向

Pruning of neural networks · Fixed point theory · Graph-based machine learning · spectral graph theory · spectral clustering · deep equilibrium models · neural odes · implicit neural networks · dynamical systems · matrix theory

5.5

合作者 (16)

Francesco Tudisco

Test-Time Accuracy-Cost Control in Neural Simulators via Recurrent-Depth

Neural-HSS: Hierarchical Semi-Separable Neural PDE Solver

Are we measuring oversmoothing in graph neural networks correctly?

Low-Rank Adversarial PGD Attack

dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation

GeoLoRA: Geometric integration for parameter efficient fine-tuning

Low-Rank Compression of Language Models Via Differentiable Rank Selection