3 papers
cs.LG2026
MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning
Javier Lopez-Piqueres, Pranav Deshpande, Archan Ray +3
We present MetaTT, a Tensor Train (TT) adapter framework for fine-tuning of pre-trained transformers. MetaTT enables flexible and parameter-efficient model adaptation by using a si…
cs.LG2026
Tensor Network Estimation of Distribution Algorithms
John Gardiner, Javier Lopez-Piqueres
Tensor networks are a tool first employed in the context of many-body quantum physics that now have a wide range of uses across the computational sciences, from numerical methods t…
math.NA2025
Cons-training Tensor Networks: Embedding and Optimization Over Discrete Linear Constraints
Javier Lopez-Piqueres, Jing Chen
In this study, we introduce a novel family of tensor networks, termed constrained matrix product states (MPS), designed to incorporate exactly arbitrary discrete linear constraints…