Zobrazeno 1 - 10
of 61 743
pro vyhledávání: '"A, Celik"'
Autor:
Çelik, Ali
Detecting Beyond Standard Model (BSM) signals in high-energy particle collisions presents significant challenges due to complex data and the need to differentiate rare signal events from Standard Model (SM) backgrounds. This study investigates the ef
Externí odkaz:
http://arxiv.org/abs/2411.06487
Autor:
Cizmeciyan, Melisa Natali, Bektas, Nayce Ilayda, Derin, Narin, Denizaltı, Tugberk, Khoshzaban, Alireza, Unlu, Mehmet Burcin, Celik-Ozenci, Ciler
Publikováno v:
journal = {Placenta}, volume = {158}, pages = {57-61}, year = {2024}
Introduction: Circadian rhythm disruption has garnered significant attention for its adverse effects on human health, particularly in reproductive medicine and fetal well-being. Assessing pregnancy health often relies on diagnostic markers such as th
Externí odkaz:
http://arxiv.org/abs/2411.04694
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/2411.02827
Autor:
Kenyon-Dean, Kian, Wang, Zitong Jerry, Urbanik, John, Donhauser, Konstantin, Hartford, Jason, Saberian, Saber, Sahin, Nil, Bendidi, Ihab, Celik, Safiye, Fay, Marta, Vera, Juan Sebastian Rodriguez, Haque, Imran S, Kraus, Oren
Large-scale cell microscopy screens are used in drug discovery and molecular biology research to study the effects of millions of chemical and genetic perturbations on cells. To use these images in downstream analysis, we need models that can map eac
Externí odkaz:
http://arxiv.org/abs/2411.02572
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