3 papers
math.OC2025
An Inexact Tensor-Train Primal-Dual Interior-Point Method for Semidefinite Programs
Frederik Kelbel, Sergey Dolgov, Dante Kalise +1
In this work, we introduce an interior-point method that employs tensor decompositions to efficiently represent and manipulate the variables and constraints of semidefinite program…
cs.CV2025
VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision-Language Models
Christos Ziakas, Alessandra Russo
Vision-Language Models (VLMs) show promise as zero-shot goal-conditioned value functions, but their frozen pre-trained representations limit generalization and temporal reasoning.…
cs.CL2024
Learning Rules from KGs Guided by Language Models
Zihang Peng, Daria Stepanova, Vinh Thinh Ho +3
Advances in information extraction have enabled the automatic construction of large knowledge graphs (e.g., Yago, Wikidata or Google KG), which are widely used in many applications…