Zobrazeno 1 - 10
of 19 325
pro vyhledávání: '"A. Melamed"'
Autor:
Melamed, Maria, Peißker, Florian
The Galactic Center provides a unique opportunity to observe a galactic core, objects in close proximity to a supermassive black hole (SMBH), and star formation channels that exhibit imprints of this peculiar environment. This habitat hosts, in addit
Externí odkaz:
http://arxiv.org/abs/2412.12917
Autor:
Peißker, Florian, Zajacek, Michal, Labadie, Lucas, Bordier, Emma, Eckart, Andreas, Melamed, Maria, Karas, Vladimir
High-velocity stars and peculiar G objects orbit the central supermassive black hole (SMBH) Sagittarius A* (Sgr A*). Together, the G objects and high-velocity stars constitute the S cluster. In contrast with theoretical predictions, no binary system
Externí odkaz:
http://arxiv.org/abs/2412.12727
Autor:
Peißker, Florian, Zajacek, Michal, Labaj, Matus, Thomkins, Lauritz, Elbe, Andreas, Eckart, Andreas, Labadie, Lucas, Karas, Vladimir, Sabha, Nadeen B., Steiniger, Lukas, Melamed, Maria
Publikováno v:
2024 ApJ 970 74
The existence of two distinct and apparently unrelated populations of dusty stellar objects in the Nuclear Stellar Cluster (NSC) of the Milky Way, namely IRS 13 and the S-cluster, are potentially prone to a general process describing the star formati
Externí odkaz:
http://arxiv.org/abs/2407.15800
Current adversarial attacks for multi-class classifiers choose the target class for a given input naively, based on the classifier's confidence levels for various target classes. We present a novel adversarial targeting method, \textit{MALT - Mesosco
Externí odkaz:
http://arxiv.org/abs/2407.02240
Autor:
Peißker, Florian, Zajaček, Michal, Melamed, Maria, Ali, Basel, Singhal, Myank, Dassel, Till, Eckart, Andreas, Karas, Vladimir
The observation of several L-band emission sources in the S cluster has led to a rich discussion of their nature. However, a definitive answer to the classification of the dusty objects requires an explanation for the detection of compact Doppler-shi
Externí odkaz:
http://arxiv.org/abs/2406.09916
Autor:
Fardian-Melamed, Natalie, Skripka, Artiom, Lee, Changhwan, Ursprung, Benedikt, Darlington, Thomas P., Teitelboim, Ayelet, Qi, Xiao, Wang, Maoji, Gerton, Jordan M., Cohen, Bruce E., Chan, Emory M., Schuck, P. James
Mechanical force is an essential feature for many physical and biological processes.1-12 Remote measurement of mechanical signals with high sensitivity and spatial resolution is needed for diverse applications, including robotics,13 biophysics,14-20
Externí odkaz:
http://arxiv.org/abs/2404.02026
Autor:
Kim, Yejin, Rome, Scott, Foley, Kevin, Nankani, Mayur, Melamed, Rimon, Morales, Javier, Yadav, Abhay, Peifer, Maria, Hamidian, Sardar, Huang, H. Howie
Addressing the challenges related to data sparsity, cold-start problems, and diversity in recommendation systems is both crucial and demanding. Many current solutions leverage knowledge graphs to tackle these issues by combining both item-based and u
Externí odkaz:
http://arxiv.org/abs/2403.18667
Autor:
Bandel, Elron, Perlitz, Yotam, Venezian, Elad, Friedman-Melamed, Roni, Arviv, Ofir, Orbach, Matan, Don-Yehyia, Shachar, Sheinwald, Dafna, Gera, Ariel, Choshen, Leshem, Shmueli-Scheuer, Michal, Katz, Yoav
In the dynamic landscape of generative NLP, traditional text processing pipelines limit research flexibility and reproducibility, as they are tailored to specific dataset, task, and model combinations. The escalating complexity, involving system prom
Externí odkaz:
http://arxiv.org/abs/2401.14019
Autor:
Melamed, Odelia, Caruana, Rich
Explainability has become a valuable tool in the last few years, helping humans better understand AI-guided decisions. However, the classic explainability tools are sometimes quite limited when considering high-dimensional inputs and neural network c
Externí odkaz:
http://arxiv.org/abs/2311.13454
Autor:
Melamed, Rimon, McCabe, Lucas H., Wakhare, Tanay, Kim, Yejin, Huang, H. Howie, Boix-Adsera, Enric
We discover that many natural-language prompts can be replaced by corresponding prompts that are unintelligible to humans but that provably elicit similar behavior in language models. We call these prompts "evil twins" because they are obfuscated and
Externí odkaz:
http://arxiv.org/abs/2311.07064