Zobrazeno 1 - 10
of 8 379
pro vyhledávání: '"P. Burg"'
Autor:
Ren, Yuqing, Zhang, Leyu, Shen, Yifei, Song, Wenqing, Boutillon, Emmanuel, Balatsoukas-Stimming, Alexios, Burg, Andreas
Next-generation channel coding has stringent demands on throughput, energy consumption, and error rate performance while maintaining key features of 5G New Radio (NR) standard codes such as rate compatibility, which is a significant challenge. Due to
Externí odkaz:
http://arxiv.org/abs/2410.16875
News recommendation is a challenging task that involves personalization based on the interaction history and preferences of each user. Recent works have leveraged the power of pretrained language models (PLMs) to directly rank news items by using inf
Externí odkaz:
http://arxiv.org/abs/2409.17711
Autor:
Ren, Yuqing, Zhang, Leyu, Blanc, Ludovic Damien, Shen, Yifei, Li, Xinwei, Balatsoukas-Stimming, Alexios, Zhang, Chuan, Burg, Andreas
Node-based successive cancellation list (SCL) decoding has received considerable attention in wireless communications for its significant reduction in decoding latency, particularly with 5G New Radio (NR) polar codes. However, the existing node-based
Externí odkaz:
http://arxiv.org/abs/2408.04334
Deep predictive models of neuronal activity have recently enabled several new discoveries about the selectivity and invariance of neurons in the visual cortex. These models learn a shared set of nonlinear basis functions, which are linearly combined
Externí odkaz:
http://arxiv.org/abs/2406.12625
This paper illustrates some challenges of common ranking evaluation methods for legal information retrieval (IR). We show these challenges with log data from a live legal search system and two user studies. We provide an overview of aspects of legal
Externí odkaz:
http://arxiv.org/abs/2403.18962
Autor:
Burg, Max F., Zenkel, Thomas, Vystrčilová, Michaela, Oesterle, Jonathan, Höfling, Larissa, Willeke, Konstantin F., Lause, Jan, Müller, Sarah, Fahey, Paul G., Ding, Zhiwei, Restivo, Kelli, Sridhar, Shashwat, Gollisch, Tim, Berens, Philipp, Tolias, Andreas S., Euler, Thomas, Bethge, Matthias, Ecker, Alexander S.
Identifying cell types and understanding their functional properties is crucial for unraveling the mechanisms underlying perception and cognition. In the retina, functional types can be identified by carefully selected stimuli, but this requires expe
Externí odkaz:
http://arxiv.org/abs/2401.05342
5G New Radio (NR) has stringent demands on both performance and complexity for the design of low-density parity-check (LDPC) decoding algorithms and corresponding VLSI implementations. Furthermore, decoders must fully support the wide range of all 5G
Externí odkaz:
http://arxiv.org/abs/2310.15801
Recent advances in the development of vision-language models (VLMs) are yielding remarkable success in recognizing visual semantic content, including impressive instances of compositional image understanding. Here, we introduce the novel task of Visu
Externí odkaz:
http://arxiv.org/abs/2310.08577
Autor:
Mortensen, Anton Bjørndahl, Pedersen, Emil Tribler, Benedicto, Laia Vives, Burg, Lionel, Madsen, Mads Rossen, Bøgh, Simon
We address the challenge of enhancing navigation autonomy for planetary space rovers using reinforcement learning (RL). The ambition of future space missions necessitates advanced autonomous navigation capabilities for rovers to meet mission objectiv
Externí odkaz:
http://arxiv.org/abs/2309.12807
Knowledge distillation (KD) is a simple and successful method to transfer knowledge from a teacher to a student model solely based on functional activity. However, current KD has a few shortcomings: it has recently been shown that this method is unsu
Externí odkaz:
http://arxiv.org/abs/2305.14890