Jonathan Mei

According to our database, Jonathan Mei authored at least 19 papers between 2013 and 2026.

Collaborative distances:

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

2026

Quantum Parity Representations: Learnable Basis Discovery, Encoders, and Shadow Deployment.

Sang Hyub Kim, Oliver Knitter, Jonathan Mei, Claudio Girotto, Masako Yamada, Martin Roetteler, Chi Chen

CoRR, May, 2026

Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models.

Oliver Knitter, Sang Hyub Kim, Maximilian Wurzer, Jonathan Mei, Claudio Girotto, Karen Horovitz, Chi Chen, Masako Yamada, Frederik F. Flöther, Martin Roetteler

CoRR, May, 2026

2025

TorchQuantumDistributed.

Oliver Knitter, Jonathan Mei, Masako Yamada, Martin Roetteler

CoRR, November, 2025

Quantum Large Language Model Fine-Tuning.

Sang Hyub Kim, Jonathan Mei, Claudio Girotto, Masako Yamada, Martin Roetteler

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

The Price of Linear Time: Error Analysis of Structured Kernel Interpolation.

Alexander Moreno, Justin Xiao, Jonathan Mei

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Quantum Natural Language Processing.

Dominic Widdows, Willie Aboumrad, Dohun Kim, Sayonee Ray, Jonathan Mei

Künstliche Intell., December, 2024

Natural Language, AI, and Quantum Computing in 2024: Research Ingredients and Directions in QNLP.

Dominic Widdows, Willie Aboumrad, Dohun Kim, Sayonee Ray, Jonathan Mei

CoRR, 2024

2023

SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels.

Alexander Moreno, Jonathan Mei, Luke Walters

CoRR, 2023

KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization.

Jonathan Mei, Alexander Moreno, Luke Walters

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2018

Principal Network Analysis.

Jonathan Mei

PhD thesis, 2018

SILVar: Single Index Latent Variable Models.

Jonathan Mei, José M. F. Moura

IEEE Trans. Signal Process., 2018

EigenNetworks.

Jonathan Mei, José M. F. Moura

CoRR, 2018

Single Index Latent Variable Models for Network Topology Inference.

Jonathan Mei, José M. F. Moura

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Signal Processing on Graphs: Causal Modeling of Unstructured Data.

Jonathan Mei, José M. F. Moura

IEEE Trans. Signal Process., 2017

2016

Signal processing on graphs: Performance of graph structure estimation.

Jonathan Mei, José M. F. Moura

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Signal Processing on Graphs: Modeling (Causal) Relations in Big Data.

Jonathan Mei, José M. F. Moura

CoRR, 2015

Signal processing on graphs: Estimating the structure of a graph.

Jonathan Mei, José M. F. Moura

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Fitting graph models to big data.

Jonathan Mei, José M. F. Moura

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2013

Phase unwrapping and denoising for time-of-flight imaging using generalized approximate message passing.

Jonathan Mei, Ahmed Kirmani, Andrea Colaco, Vivek K. Goyal

Proceedings of the IEEE International Conference on Image Processing, 2013