Baris Askin

According to our database, Baris Askin authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning.

Arian Raje, Baris Askin, Divyansh Jhunjhunwala, Gauri Joshi

CoRR, June, 2025

Federated Communication-Efficient Multi-Objective Optimization.

Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

DEQ-MPI: A Deep Equilibrium Reconstruction With Learned Consistency for Magnetic Particle Imaging.

Alper Güngör, Baris Askin, Damla Alptekin Soydan, Can Baris Top, Emine Ulku Saritas, Tolga Çukur

IEEE Trans. Medical Imaging, January, 2024

FedAST: Federated Asynchronous Simultaneous Training.

Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2022

TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging.

Alper Güngör, Baris Askin, Damla Alptekin Soydan, Emine Ulku Saritas, Can Baris Top, Tolga Çukur

IEEE Trans. Medical Imaging, 2022

PP-MPI: A Deep Plug-and-Play Prior for Magnetic Particle Imaging Reconstruction.

Baris Askin, Alper Güngör, Damla Alptekin Soydan, Emine Ulku Saritas, Can Baris Top, Tolga Çukur

Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

2021

Deep Learned Super Resolution of System Matrices for Magnetic Particle Imaging.

Alper Güngör, Baris Askin, Damla Alptekin Soydan, Can Baris Top, Tolga Çukur

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021