Zobrazeno 1 - 10
of 40 427
pro vyhledávání: '"P Maia"'
We consider the long-range random field Ising model in dimension $d = 1, 2$, whereas the long-range interaction is of the form $J_{xy} = |x-y|^{-\alpha}$ with $1< \alpha < 3/2$ for $d=1$ and with $2 < \alpha \leq 3$ for $d = 2$. Our main results esta
Externí odkaz:
http://arxiv.org/abs/2412.19281
High-quality datasets are critical for training machine learning models, as inconsistencies in feature generation can hinder the accuracy and reliability of threat detection. For this reason, ensuring the quality of the data in network intrusion dete
Externí odkaz:
http://arxiv.org/abs/2412.14021
Software engineering agents (swe-agents), as key innovations in intelligent software engineering, are poised in the industry's end-of-programming debate to transcend from assistance to primary roles. we argue the importance of swe-agents' economic vi
Externí odkaz:
http://arxiv.org/abs/2412.11722
Autor:
Shanmugam, Divya, Agrawal, Monica, Movva, Rajiv, Chen, Irene Y., Ghassemi, Marzyeh, Jacobs, Maia, Pierson, Emma
The increased capabilities of generative AI have dramatically expanded its possible use cases in medicine. We provide a comprehensive overview of generative AI use cases for clinicians, patients, clinical trial organizers, researchers, and trainees.
Externí odkaz:
http://arxiv.org/abs/2412.10337
We prove that any lower triangular and totally nonnegative matrix whose diagonal entries are all equal to one gives rise to a family real-rooted polynomials. This is used to develop a general theory for proving that chain polynomials of rank uniform
Externí odkaz:
http://arxiv.org/abs/2412.06595
Scaling laws for large language models (LLMs) predict model performance based on parameters like size and training data. However, differences in training configurations and data processing across model families lead to significant variations in bench
Externí odkaz:
http://arxiv.org/abs/2412.06540
Autor:
Glombiewski, Nikolaus, Boukhers, Zeyd, Beilschmidt, Christian, Drönner, Johannes, Mattig, Michael, Piet, Artur, Pietrzynski, Robert, Jaberansary, Mehrshad, Maia, Macedo, Beyvers, Sebastian, Yediel, Yeliz Üçer, Akhtar, Muhammad Hamza, Oberkampf, Heiner, Hartman, Jonathan, Seeger, Bernhard, Lange, Christoph
The principles of data spaces for sovereign data exchange across trusted organizations have so far mainly been adopted in business-to-business settings, and recently scaled to cloud environments. Meanwhile, research organizations have established dis
Externí odkaz:
http://arxiv.org/abs/2412.04969
Autor:
Havrilla, Alex, Dai, Andrew, O'Mahony, Laura, Oostermeijer, Koen, Zisler, Vera, Albalak, Alon, Milo, Fabrizio, Raparthy, Sharath Chandra, Gandhi, Kanishk, Abbasi, Baber, Phung, Duy, Iyer, Maia, Mahan, Dakota, Blagden, Chase, Gureja, Srishti, Hamdy, Mohammed, Li, Wen-Ding, Paolini, Giovanni, Ammanamanchi, Pawan Sasanka, Meyerson, Elliot
Synthetic data generation with Large Language Models is a promising paradigm for augmenting natural data over a nearly infinite range of tasks. Given this variety, direct comparisons among synthetic data generation algorithms are scarce, making it di
Externí odkaz:
http://arxiv.org/abs/2412.02980
Network Intrusion Detection (NID) systems can benefit from Machine Learning (ML) models to detect complex cyber-attacks. However, to train them with a great amount of high-quality data, it is necessary to perform reliable simulations of multiple inte
Externí odkaz:
http://arxiv.org/abs/2412.01421
Autor:
Călugăru, Dumitru, Jiang, Yi, Hu, Haoyu, Pi, Hanqi, Yu, Jiabin, Vergniory, Maia G., Shan, Jie, Felser, Claudia, Schoop, Leslie M., Efetov, Dmitri K., Mak, Kin Fai, Bernevig, B. Andrei
We introduce a new class of moir\'e systems and materials based on monolayers with triangular lattices and low-energy states at the M points of the Brillouin zone. These M-point moir\'e materials are fundamentally distinct from those derived from $\G
Externí odkaz:
http://arxiv.org/abs/2411.18684