Ryan Solgi

According to our database, Ryan Solgi authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Do Tensorized Large-Scale Spatiotemporal Dynamic Atmospheric Data Exhibit Low-Rank Properties?

Ryan Solgi, Seyedali Mousavinezhad, Hugo A. Loáiciga

CoRR, July, 2025

FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression.

Jiayi Tian, Ryan Solgi, Jinming Lu, Yifan Yang, Hai Li, Zheng Zhang

CoRR, May, 2025

Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models.

Ryan Solgi, Kai Zhen, Rupak Vignesh Swaminathan, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann, Zheng Zhang

CoRR, May, 2025

2024

Tensor shape search for efficient compression of tensorized data and neural networks.

Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang, Hugo A. Loáiciga

Appl. Soft Comput., December, 2024

Low-Rank Tensorized Neural Networks With Tensor Geometry Optimization

Ryan Solgi

PhD thesis, 2024

Partial Tensorized Transformers for Natural Language Processing.

Subhadra Vadlamannati, Ryan Solgi

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2022

Tensor Shape Search for Optimum Data Compression.

Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang

CoRR, 2022

Evolutionary Tensor Train Decomposition for Hyper-Spectral Remote Sensing Images.

Ryan Solgi, Hugo A. Loáiciga, Zheng Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Bee-inspired metaheuristics for global optimization: a performance comparison.

Ryan Solgi, Hugo A. Loáiciga

Artif. Intell. Rev., 2021