Aktuelle Publikationen

April 2024

BiSPARCs for Unsourced Random Access in Massive MIMO

Patrick Agostini, Slawomir Stanczak, Zoran Utkovski

This paper addresses the massive MIMO unsourced random access problem in quasi-static Rayleigh fading. Our proposed coding scheme combines an outer LDPC code with an inner SPARC code, integrating channel estimation, single-user decoding, and...

April 2024

Animatable Virtual Humans: Learning pose-dependent human representations in UV space for interactive performance synthesis

Wieland Morgenstern, Peter Eisert, Anna Hilsmann, Milena Bagdasarian

We propose a novel representation of virtual humans for highly realistic real-time animation and rendering in 3D applications. We learn pose dependent appearance and geometry from highly accurate dynamic mesh sequences obtained from...

April 2024

Realness of face images can be decoded from non-linear modulation of EEG responses

Yonghao Chen, Peter Eisert, Anna Hilsmann, Sebastian Bosse, Arno Villringer, Vadim V. Nikulin, Milena Bagdasarian, Michael Gaebler, Tilman Stephani

We utilized an EEG dataset of steady-state visual evoked potentials in which participants were presented with human face images of different stylization levels. Assessing neuronal responses, we found a non-linear relationship between SSVEP...

April 2024

A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification

Clare A Primiero, Frederik Pahde, Brigid Betz-Stablein, Nathan Ascott, Brian D'Alessandro, Seraphin Gaborit, Paul Fricker, Abigail Goldsteen, Sandra Gonzalez-Villa, Katie Lee, Sana Nazari, Hang Nguyen, Valsamis Ntsoukos, Balazs E. Pataki, Josep Quintana, Susana Puig, Gisele G. Rezze, Rafael Garcia, H. Peter Soyer, Josep Malvehy

AI has proven effective in classifying skin cancers using dermoscopy images. However, clinical application is limited when algorithms are not well-trained, or there is a lack of clinical context (e.g., medical history). The increasing use of...

April 2024

UL-DL Duality for Cell-Free Massive MIMO With Per-AP Power and Information Constraints

Lorenzo Miretti, Slawomir Stanczak, Renato L. G. Cavalcante, Emil Björnson

This article advances the theoretical foundations of user-centric cell-free massive MIMO networks. In particular, by means of a novel UL-DL duality principle for fading channels, it settles the optimality of the recently developed “team MMSE”...

April 2024

Signal separation in radio spectrum using self-attention mechanism

Fadli Damara, Slawomir Stanczak, Zoran Utkovski

Traditional signal processing methods often fall short compared to data-driven approaches in a signal separation problem that involves co-channel signals, where the energy content of the interference component overlaps with the transmitted signal...

März 2024

Real-Time Algorithms for Combined eMBB and URLLC Scheduling

Tano Bischoff, Slawomir Stanczak, Martin Kasparick, Ehsan Tohidi

This paper investigates efficient scheduling algorithms for coexistence scenarios of devices with different quality of service requirements, such as URLLC and eMBB. It proposes a low-complexity algorithm that outperforms current methods, with...

März 2024

From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space

Maximilian Dreyer, Wojciech Samek, Sebastian Lapuschkin, Christopher J. Anders, Frederik Pahde

We present a novel method ensuring the right reasons on the concept level by reducing the model's sensitivity towards biases through the gradient. When modeling biases via Concept Activation Vectors, we highlight the importance of choosing robust...

März 2024

Predictive Handover Optimization

Vahid Rajabi, Slawomir Stanczak, Martin Kasparick, Jochen Fink

Future networks aim for higher data rates through cell densification, leading to frequent handovers and increased signaling overhead for moving user equipment (UE). This paper presents an optimization scheme using predicted channel state...

März 2024

Distributed Fixed-Point Algorithms for Dynamic Convex Optimization over Decentralized and Unbalanced Wireless Networks

Navneet Agrawal, Slawomir Stanczak, Renato L. G. Cavalcante

Paper studies a class of distributed fixed-point algorithms over truly decentralised and unbalanced graphs, supporting a broad class of communication systems, including a novel OTA computation protocol that implements consensus without any...

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