Julian P. Merkofer

According to our database, Julian P. Merkofer authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy.

Julian P. Merkofer, Dennis M. J. van de Sande, Alex A. Bhogal, Ruud J. G. van Sloun

CoRR, May, 2025

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation.

Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger

IEEE Trans. Veh. Technol., March, 2025

2024

DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm.

Julian P. Merkofer, Guy Revach, Nir Shlezinger, Tirza Routtenberg, Ruud J. G. van Sloun

IEEE Trans. Veh. Technol., 2024

Anomalous Change Point Detection Using Probabilistic Predictive Coding.

Roelof G. Hup, Julian P. Merkofer, Alex A. Bhogal, Ruud J. G. van Sloun, Reinder Haakma, Rik Vullings

CoRR, 2024

2023

A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge.

Julian P. Merkofer, Dennis M. J. van de Sande, Sina Amirrajab, Gerhard S. Drenthen, Mitko Veta, Jacobus F. A. Jansen, Marcel Breeuwer, Ruud J. G. van Sloun

CoRR, 2023

Deep Root Music Algorithm for Data-Driven Doa Estimation.

Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep Augmented Music Algorithm for Data-Driven Doa Estimation.

Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2022