Zobrazeno 1 - 10
of 22 474
pro vyhledávání: '"Celik P"'
Autor:
Celik, Mehmet, Duguin, Mathis, Guo, Jia, Luo, Dianlun, Spinelli, Kamryn, Zeytuncu, Yunus E., Zhu, Zhuoyu
In 2021, Dan Reznik made a YouTube video demonstrating that power circles of Poncelet triangles have an invariant total area. He made a simulation based on this observation and put forward a few conjectures. One of these conjectures suggests that the
Externí odkaz:
http://arxiv.org/abs/2410.18863
Autor:
Nazar, Ahmad M., Celik, Abdulkadir, Selim, Mohamed Y., Abdallah, Asmaa, Qiao, Daji, Eltawil, Ahmed M.
Large language models (LLMs) hold significant promise in advancing network management and orchestration in 6G and beyond networks. However, existing LLMs are limited in domain-specific knowledge and their ability to handle multi-modal sensory data, w
Externí odkaz:
http://arxiv.org/abs/2410.18104
There is a growing interest in integrating Large Language Models (LLMs) with autonomous driving (AD) systems. However, AD systems are vulnerable to attacks against their object detection and tracking (ODT) functions. Unfortunately, our evaluation of
Externí odkaz:
http://arxiv.org/abs/2409.14488
Autor:
Kienle, Claudius, Alt, Benjamin, Celik, Onur, Becker, Philipp, Katic, Darko, Jäkel, Rainer, Neumann, Gerhard
High-level robot skills represent an increasingly popular paradigm in robot programming. However, configuring the skills' parameters for a specific task remains a manual and time-consuming endeavor. Existing approaches for learning or optimizing thes
Externí odkaz:
http://arxiv.org/abs/2407.15660
Autor:
Çelik, Eril Güray, Antar, Nalan
We numerically investigate the existence and stability dynamics of self-steepening optical solitons in a periodic PT-symmetric potential. We show that self-steepening solitons of the modified nonlinear Schr\"odinger (MNLS) equation undergo a position
Externí odkaz:
http://arxiv.org/abs/2407.12634
Autor:
Zhou, Hongyi, Blessing, Denis, Li, Ge, Celik, Onur, Jia, Xiaogang, Neumann, Gerhard, Lioutikov, Rudolf
This work introduces Variational Diffusion Distillation (VDD), a novel method that distills denoising diffusion policies into Mixtures of Experts (MoE) through variational inference. Diffusion Models are the current state-of-the-art in generative mod
Externí odkaz:
http://arxiv.org/abs/2406.12538
Autor:
Jia, Xiaogang, Wang, Qian, Donat, Atalay, Xing, Bowen, Li, Ge, Zhou, Hongyi, Celik, Onur, Blessing, Denis, Lioutikov, Rudolf, Neumann, Gerhard
This work introduces Mamba Imitation Learning (MaIL), a novel imitation learning (IL) architecture that offers a computationally efficient alternative to state-of-the-art (SoTA) Transformer policies. Transformer-based policies have achieved remarkabl
Externí odkaz:
http://arxiv.org/abs/2406.08234
Publikováno v:
IEEE Communications Magazine, vol. 62, no. 9, pp. 52-58, September 2024
Integrated sensing and communications (ISAC) has emerged as a means to efficiently utilize spectrum and thereby save cost and power. At the higher end of the spectrum, ISAC systems operate at wideband using large antenna arrays to meet the stringent
Externí odkaz:
http://arxiv.org/abs/2406.03162
In conventional remote sensing change detection (RS CD) procedures, extensive manual labeling for bi-temporal images is first required to maintain the performance of subsequent fully supervised training. However, pixel-level labeling for CD tasks is
Externí odkaz:
http://arxiv.org/abs/2405.18224
Publikováno v:
In Physical Review B (Vol. 109, Issue 8). American Physical Society (APS) 2024
Interference Gating or iGate is a unique method for ultrafast time-resolved electron holography in a transmission electron microscope enabling a spatiotemporal resolution in the nm and ns regime with a minimal technological effort. Here, iGate is use
Externí odkaz:
http://arxiv.org/abs/2405.08505