Sukhbinder Singh

According to our database, Sukhbinder Singh authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Fast Tensorization of Neural Networks via Slice-wise Feature Distillation.

Safa Hamreras, Sukhbinder Singh, Román Orús

CoRR, May, 2026

Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters.

Borja Aizpurua, Sukhbinder Singh, Augustine Kshetrimayum, Saeed S. Jahromi, Roman Orus

CoRR, May, 2026

Only relative ranks matter in weight-clustered large language models.

Borja Aizpurua, Sukhbinder Singh, Román Orús

CoRR, March, 2026

2025

Globally optimized SVD compression of LLMs via Fermi-function-based rank selection and gauge fixing.

Roman Rausch, David Jansen, Sukhbinder Singh, Román Orús

CoRR, December, 2025

Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks.

Safa Hamreras, Sukhbinder Singh, Román Orús

CoRR, May, 2025

2024

Quantum Large Language Models via Tensor Network Disentanglers.

Borja Aizpurua, Saeed S. Jahromi, Sukhbinder Singh, Roman Orus

CoRR, 2024

Tensor network compressibility of convolutional models.

Sukhbinder Singh, Saeed S. Jahromi, Roman Orus

CoRR, 2024

CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks.

Andrei Tomut, Saeed S. Jahromi, Sukhbinder Singh, Faysal Ishtiaq, César Muñoz, Prabdeep Singh Bajaj, Ali Elborady, Gianni Del Bimbo, Mehrazin Alizadeh, David Montero, Pablo Martin-Ramiro, Muhammad Ibrahim, Oussama Tahiri-Alaoui, John Malcolm, Samuel Mugel, Roman Orus

CoRR, 2024

2023

Efficient tensor network simulation of IBM's largest quantum processors.

Siddhartha Patra, Saeed S. Jahromi, Sukhbinder Singh, Roman Orus

CoRR, 2023