4 papers
Fast Tensorization of Neural Networks via Slice-wise Feature Distillation
Safa Hamreras, Sukhbinder Singh, Román Orús
We propose a scalable tensorization framework for neural network compression based on slice-wise feature distillation. Unlike conventional tensor decomposition methods that rely on…
STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing
Dominic Gribben, Carolina Allende, Alba Villarino +5
We develop a tensor-network surrogate for option pricing, targeting large-scale portfolio revaluation problems arising in market risk management (e.g., VaR and Expected Shortfall c…
Quantum Advantage: a Tensor Network Perspective
Augustine Kshetrimayum, Saeed S. Jahromi, Sukhbinder Singh +1
We review the recent quantum advantage experiments by IBM, D-Wave, and Google, focusing on cases where efficient classical simulations of the experiment were demonstrated or attemp…
Weight Clustering Reveals the Importance of Relative Rank in Large Language Models
Borja Aizpurua, Sukhbinder Singh, Román Orús
Large language models (LLMs) contain billions of parameters, but many exact weight values are not essential. We apply scalar -means clustering to pretrained models, replacing ea…