Cover Image

MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lopez-Piqueres, Javier, Deshpande, Pranav, Ray, Archan, Villani, Mattia J., Pistoia, Marco, Kumar, Niraj
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
by: Chen, Tyler, et al.
Published: (2025)

Provably faster randomized and quantum algorithms for $k$-means clustering via uniform sampling
by: Chen, Tyler, et al.
Published: (2025)

Tensor Network Estimation of Distribution Algorithms
by: Gardiner, John, et al.
Published: (2024)

Cons-training Tensor Networks: Embedding and Optimization Over Discrete Linear Constraints
by: Lopez-Piqueres, Javier, et al.
Published: (2024)

Symmetric Tensor Networks for Generative Modeling and Constrained Combinatorial Optimization
by: Lopez-Piqueres, Javier, et al.
Published: (2022)

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models
by: Villani, Mattia J., et al.
Published: (2026)

QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest
by: Yalovetzky, Romina, et al.
Published: (2024)

GPU-Parallelizable Randomized Sketch-and-Precondition for Linear Regression using Sparse Sign Sketches
by: Chen, Tyler, et al.
Published: (2025)

QuIC: Quantum-Inspired Compound Adapters for Parameter Efficient Fine-Tuning
by: Raj, Snehal, et al.
Published: (2025)

Quasi-normal modes of a multi-dimensional rotating Kerr black hole
by: Villani, Mattia
Published: (2026)

Black to white hole transition as a change of the topology of the event horizon
by: Villani, Mattia
Published: (2026)

Electromagnetic emission from a black-to-white hole transition -- Photospheric emission
by: Villani, Mattia
Published: (2026)

Des-q: a quantum algorithm to provably speedup retraining of decision trees
by: Kumar, Niraj, et al.
Published: (2023)

A simple analysis of a quantum-inspired algorithm for solving low-rank linear systems
by: Chen, Tyler, et al.
Published: (2025)

Privacy-preserving quantum federated learning via gradient hiding
by: Li, Changhao, et al.
Published: (2023)

Parameter-Efficient Fine-Tuning With Adapters
by: Chen, Keyu, et al.
Published: (2024)

The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ansätze
by: Fontana, Enrico, et al.
Published: (2023)

Symbiosis: Multi-Adapter Inference and Fine-Tuning
by: Gupta, Saransh, et al.
Published: (2025)

Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion
by: Hao, Tianyi, et al.
Published: (2024)

QAOA with $N\cdot p\geq 200$
by: Shaydulin, Ruslan, et al.
Published: (2023)

End-to-End Protocol for High-Quality QAOA Parameters with Few Shots
by: Hao, Tianyi, et al.
Published: (2024)

Prospects of Privacy Advantage in Quantum Machine Learning
by: Heredge, Jamie, et al.
Published: (2024)

Anytime Training with Schedule-Free Spectral Optimization
by: Apte, Anuj, et al.
Published: (2026)

Mixture of Physical Priors Adapter for Parameter-Efficient Fine-Tuning
by: Wang, Zhaozhi, et al.
Published: (2024)

QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
by: Chen, Zhuo, et al.
Published: (2024)

Adaptive and Robust Watermark for Generative Tabular Data
by: Ngo, Dung Daniel, et al.
Published: (2024)

Parameter Setting in Quantum Approximate Optimization of Weighted Problems
by: Sureshbabu, Shree Hari, et al.
Published: (2023)

Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning
by: Suzumura, Toyotaro, et al.
Published: (2024)

SMoA: Spectrum Modulation Adapter for Parameter-Efficient Fine-Tuning
by: Liu, Yongkang, et al.
Published: (2026)

Pear: Pruning and Sharing Adapters in Visual Parameter-Efficient Fine-Tuning
by: Zhong, Yibo, et al.
Published: (2024)

New Improvements in Solving Large LABS Instances Using Massively Parallelizable Memetic Tabu Search
by: Zhang, Zhiwei, et al.
Published: (2025)

Single and entangled atomic systems in thermal bath and the Fulling-Davies-Unruh effect
by: Mukherjee, Arnab, et al.
Published: (2024)

Observing quantum measurement collapse as a learnability phase transition
by: Agrawal, Utkarsh, et al.
Published: (2023)

Quantum option pricing via the Karhunen-Loève expansion
by: Prakash, Anupam, et al.
Published: (2024)

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models
by: Gong, Ming, et al.
Published: (2025)

Applications of Certified Randomness
by: Amer, Omar, et al.
Published: (2025)

Solving Linear Systems on Quantum Hardware with Hybrid HHL++
by: Yalovetzky, Romina, et al.
Published: (2021)

Quantum Approximate Optimization Algorithm in Finite Size and Large Depth and Equivalence to Quantum Annealing
by: Boulebnane, Sami, et al.
Published: (2025)

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
by: Lialin, Vladislav, et al.
Published: (2023)

Quantum-Enhanced LLM Efficient Fine Tuning
by: Kong, Xiaofei, et al.
Published: (2025)