Zobrazeno 1 - 10
of 59 222
pro vyhledávání: '"Eren, A"'
Autor:
Yang, Yangyiwei, Kühn, Patrick, Fathidoost, Mozhdeh, Adabifiroozjaei, Esmaeil, Xie, Ruiwen, Foya, Eren, Ohmer, Dominik, Skokov, Konstantin, Molina-Luna, Leopoldo, Gutfleisch, Oliver, Zhang, Hongbin, Xu, Bai-Xiang
Around 17,000 micromagnetic simulations were performed with a wide variation of geometric and magnetic parameters of different cellular nanostructures in the samarium-cobalt-based 1:7-type (SmCo-1:7) magnets. A forward prediction neural network (NN)
Externí odkaz:
http://arxiv.org/abs/2408.03198
Road traffic congestion prediction is a crucial component of intelligent transportation systems, since it enables proactive traffic management, enhances suburban experience, reduces environmental impact, and improves overall safety and efficiency. Al
Externí odkaz:
http://arxiv.org/abs/2408.01016
In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing (NLP) tasks, such as question-answering, sentiment analysis, text summarization, and machine translation. Howev
Externí odkaz:
http://arxiv.org/abs/2408.01008
Autor:
Wanna, Selma, Barron, Ryan, Solovyev, Nick, Eren, Maksim E., Bhattarai, Manish, Rasmussen, Kim, Alexandrov, Boian S.
Topic modeling is a technique for organizing and extracting themes from large collections of unstructured text. Non-negative matrix factorization (NMF) is a common unsupervised approach that decomposes a term frequency-inverse document frequency (TF-
Externí odkaz:
http://arxiv.org/abs/2407.19616
Autor:
Barron, Ryan, Eren, Maksim E., Bhattarai, Manish, Boureima, Ismael, Matuszek, Cynthia, Alexandrov, Boian S.
In several Machine Learning (ML) clustering and dimensionality reduction approaches, such as non-negative matrix factorization (NMF), RESCAL, and K-Means clustering, users must select a hyper-parameter k to define the number of clusters or components
Externí odkaz:
http://arxiv.org/abs/2407.19125
Autor:
Wu, Yu-Mi, Puphal, Pascal, Isobe, Masahiko, Keimer, Bernhard, Hepting, Matthias, Suyolcu, Y. Eren, van Aken, Peter A.
Infinite-layer nickelates stand as a promising frontier in the exploration of unconventional superconductivity. Their synthesis through topotactic oxygen reduction from the parent perovskite phase remains a complex and elusive process. This study del
Externí odkaz:
http://arxiv.org/abs/2407.13886
Long context inference presents challenges at the system level with increased compute and memory requirements, as well as from an accuracy perspective in being able to reason over long contexts. Recently, several methods have been proposed to compres
Externí odkaz:
http://arxiv.org/abs/2407.08892
In this work, we introduce the Resilient Projected Push-Pull (RP3) algorithm designed for distributed optimization in multi-agent cyber-physical systems with directed communication graphs and the presence of malicious agents. Our algorithm leverages
Externí odkaz:
http://arxiv.org/abs/2407.06541
The Rectilinear Steiner Minimum Tree (RSMT) problem is a fundamental problem in VLSI placement and routing and is known to be NP-hard. Traditional RSMT algorithms spend a significant amount of time on finding Steiner points to reduce the total wire l
Externí odkaz:
http://arxiv.org/abs/2407.01440
Autor:
Mazzucato, Camilla, Coscia, Michele, Doğu, Ayça Küçükakdağ, Haddow, Scott, Kılıç, Muhammed Sıddık, Yüncü, Eren, Somel, Mehmet
Recent advances in archaeogenomics have granted access to previously unavailable biological information with the potential to further our understanding of past social dynamics at a range of scales. However, to properly integrate these data within arc
Externí odkaz:
http://arxiv.org/abs/2406.19149