Axel Flinth

According to our database, Axel Flinth authored at least 23 papers between 2016 and 2023.

Collaborative distances:

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

2023

One-Shot Messaging at Any Load Through Random Sub-Channeling in OFDM.

Gerhard Wunder, Axel Flinth, Benedikt Groß

IEEE Trans. Inf. Theory, October, 2023

Optimization Dynamics of Equivariant and Augmented Neural Networks.

Axel Flinth, Fredrik Ohlsson

CoRR, 2023

Rigidity Preserving Image Transformations and Equivariance in Perspective.

Lucas Brynte, Georg Bökman, Axel Flinth, Fredrik Kahl

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Mimicking DH Key Exchange Over a Full Duplex Wireless Channel via Bisparse Blind Deconvolution.

Gerhard Wunder, Axel Flinth, Daniel Becker, Benedikt Groß

Proceedings of the 6th International Conference on Advanced Communication Technologies and Networking, 2023

2022

Bisparse Blind Deconvolution through Hierarchical Sparse Recovery.

Axel Flinth, Ingo Roth, Gerhard Wunder

CoRR, 2022

In Search of Projectively Equivariant Neural Networks.

Georg Bökman, Axel Flinth, Fredrik Kahl

CoRR, 2022

ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds.

Georg Bökman, Fredrik Kahl, Axel Flinth

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

On the linear convergence rates of exchange and continuous methods for total variation minimization.

Axel Flinth, Frédéric de Gournay, Pierre Weiss

Math. Program., 2021

Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction.

Axel Flinth, Ingo Roth, Benedikt Groß, Jens Eisert, Gerhard Wunder

CoRR, 2021

Hierarchical compressed sensing.

Jens Eisert, Axel Flinth, Benedikt Groß, Ingo Roth, Gerhard Wunder

CoRR, 2021

Measure Concentration on the OFDM-Based Random Access Channel.

Gerhard Wunder, Axel Flinth, Benedikt Groß

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Hierarchical Sparse Recovery from Hierarchically Structured Measurements with Application to Massive Random Access.

Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020

Reliable Recovery of Hierarchically Sparse Signals for Gaussian and Kronecker Product Measurements.

Ingo Roth, Martin Kliesch, Axel Flinth, Gerhard Wunder, Jens Eisert

IEEE Trans. Signal Process., 2020

Hierarchical sparse recovery from hierarchically structured measurements.

Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder

CoRR, 2020

2019

Low-Overhead Hierarchically-Sparse Channel Estimation for Multiuser Wideband Massive MIMO.

Gerhard Wunder, Stelios Stefanatos, Axel Flinth, Ingo Roth, Giuseppe Caire

IEEE Trans. Wirel. Commun., 2019

Recovery of Binary Sparse Signals With Biased Measurement Matrices.

Axel Flinth, Sandra Keiper

IEEE Trans. Inf. Theory, 2019

2018

Sparse blind deconvolution and demixing through ℓ 1, 2-minimization.

Axel Flinth

Adv. Comput. Math., 2018

Hierarchical Sparse Channel Estimation for Massive MIMO.

Gerhard Wunder, Ingo Roth, Mahdi Barzegar, Axel Flinth, Saeid Haghighatshoar, Giuseppe Caire, Gitta Kutyniok

Proceedings of the 22nd International ITG Workshop on Smart Antennas, 2018

Approximate Recovery of Initial Point-like and Instantaneous Sources from Coarsely Sampled Thermal Fields via Infinite-Dimensional Compressed Sensing.

Axel Flinth, Ali Hashemi

Proceedings of the 26th European Signal Processing Conference, 2018

Hierarchical restricted isometry property for Kronecker product measurements.

Ingo Roth, Axel Flinth, Richard Kueng, Jens Eisert, Gerhard Wunder

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2016

Optimal Choice of Weights for Sparse Recovery With Prior Information.

Axel Flinth

IEEE Trans. Inf. Theory, 2016

Multivariate α-molecules.

Axel Flinth, Martin Schäfer

J. Approx. Theory, 2016

Soft Recovery Through ℓ_{1, 2} Minimization with Applications in Recovery of Simultaneously Sparse and Low-Rank Matrice.

Axel Flinth

CoRR, 2016