Zobrazeno 1 - 10
of 472 618
pro vyhledávání: '"A. , Jordan"'
Autor:
Lekeufack, Jordan, Jordan, Michael I.
We study Online Convex Optimization (OCO) with adversarial constraints, where an online algorithm must make repeated decisions to minimize both convex loss functions and cumulative constraint violations. We focus on a setting where the algorithm has
Externí odkaz:
http://arxiv.org/abs/2412.08060
Autor:
Duffee, Christian, Athas, Jordan, Shao, Yixin, Melendez, Noraica Davila, Raimondo, Eleonora, Katine, Jordan A., Camsari, Kerem Y., Finocchio, Giovanni, Amiri, Pedram Khalili
Probabilistic Ising machines (PIMs) provide a path to solving many computationally hard problems more efficiently than deterministic algorithms on von Neumann computers. Stochastic magnetic tunnel junctions (S-MTJs), which are engineered to be therma
Externí odkaz:
http://arxiv.org/abs/2412.08017
Autor:
Qing, Bingcheng, Hajr, Ahmed, Wang, Ke, Koolstra, Gerwin, Nguyen, Long B., Hines, Jordan, Huang, Irwin, Bhandari, Bibek, Padramrazi, Zahra, Chen, Larry, Kang, Ziqi, Jünger, Christian, Goss, Noah, Jain, Nikitha, Kim, Hyunseong, Lee, Kan-Heng, Hashim, Akel, Frattini, Nicholas E., Dressel, Justin, Jordan, Andrew N., Santiago, David I., Siddiqi, Irfan
The ubiquitous noise in quantum system hinders the advancement of quantum information processing and has driven the emergence of different hardware-efficient quantum error correction protocols. Among them, qubits with structured noise, especially wit
Externí odkaz:
http://arxiv.org/abs/2411.04442
Autor:
Tu, Zhengkai, Choure, Sourabh J., Fong, Mun Hong, Roh, Jihye, Levin, Itai, Yu, Kevin, Joung, Joonyoung F., Morgan, Nathan, Li, Shih-Cheng, Sun, Xiaoqi, Lin, Huiqian, Murnin, Mark, Liles, Jordan P., Struble, Thomas J., Fortunato, Michael E., Liu, Mengjie, Green, William H., Jensen, Klavs F., Coley, Connor W.
The advancement of machine learning and the availability of large-scale reaction datasets have accelerated the development of data-driven models for computer-aided synthesis planning (CASP) in the past decade. Here, we detail the newest version of AS
Externí odkaz:
http://arxiv.org/abs/2501.01835
Autor:
OLMo, Team, Walsh, Pete, Soldaini, Luca, Groeneveld, Dirk, Lo, Kyle, Arora, Shane, Bhagia, Akshita, Gu, Yuling, Huang, Shengyi, Jordan, Matt, Lambert, Nathan, Schwenk, Dustin, Tafjord, Oyvind, Anderson, Taira, Atkinson, David, Brahman, Faeze, Clark, Christopher, Dasigi, Pradeep, Dziri, Nouha, Guerquin, Michal, Ivison, Hamish, Koh, Pang Wei, Liu, Jiacheng, Malik, Saumya, Merrill, William, Miranda, Lester James V., Morrison, Jacob, Murray, Tyler, Nam, Crystal, Pyatkin, Valentina, Rangapur, Aman, Schmitz, Michael, Skjonsberg, Sam, Wadden, David, Wilhelm, Christopher, Wilson, Michael, Zettlemoyer, Luke, Farhadi, Ali, Smith, Noah A., Hajishirzi, Hannaneh
We present OLMo 2, the next generation of our fully open language models. OLMo 2 includes dense autoregressive models with improved architecture and training recipe, pretraining data mixtures, and instruction tuning recipes. Our modified model archit
Externí odkaz:
http://arxiv.org/abs/2501.00656
Autor:
Ive, Julia, Bondaronek, Paulina, Yadav, Vishal, Santel, Daniel, Glauser, Tracy, Cheng, Tina, Strawn, Jeffrey R., Agasthya, Greeshma, Tschida, Jordan, Choo, Sanghyun, Chandrashekar, Mayanka, Kapadia, Anuj J., Pestian, John
Introduction: Healthcare AI models often inherit biases from their training data. While efforts have primarily targeted bias in structured data, mental health heavily depends on unstructured data. This study aims to detect and mitigate linguistic dif
Externí odkaz:
http://arxiv.org/abs/2501.00129
Autor:
Perez, Mariano Guerrero, Walkup, Keegan, Chapman, Jordan, Bhaumik, Pranshu, Khodaparast, Giti A., Magill, Brenden A., Huber, Patrick, Ivanov, Vsevolod
Vacancy-cluster color centers in lithium fluoride have been studied in detail both theoretically and experimentally for over a century, giving rise to various applications in solid-state lasers, broadband photonic devices, and radiation dosimeters. T
Externí odkaz:
http://arxiv.org/abs/2412.21060
Autor:
Sinclair, Jordan, Reardon, Christopher
Human acceptance of social robots is greatly effected by empathy and perceived understanding. This necessitates accurate and flexible responses to various input data from the user. While systems such as this can become increasingly complex as more st
Externí odkaz:
http://arxiv.org/abs/2412.20632
Universal hyper-scaling relations, power-law tails, and data analysis for strong anomalous diffusion
Autor:
Vollmer, Jürgen, Giberti, Claudio, Orchard, Jordan, Reinhard, Hannes, Mejía-Monasterio, Carlos, Rondoni, Lamberto
Strong anomalous diffusion is {often} characterized by a piecewise-linear spectrum of the moments of displacement. The spectrum is characterized by slopes $\xi$ and $\zeta$ for small and large moments, respectively, and by the critical moment $\alpha
Externí odkaz:
http://arxiv.org/abs/2412.20590
Autor:
Cartwright, Julyan H. E., Cockell, Charles S., Goehring, Lucas, Holler, Silvia, Jordan, Sean F., Knoll, Pamela, Kotopoulou, Electra, Loron, Corentin C., McMahon, Sean, Morris, Stephen W., Neubeck, Anna, Pimentel, Carlos, Sainz-Díaz, C. Ignacio, Shahidzadeh, Noushine, Szymczak, Piotr
Geological materials are often seen as the antithesis of soft; rocks are hard. However, during the formation of minerals and rocks, all the systems we shall discuss, indeed geological materials in general, pass through a stage where they are soft. Th
Externí odkaz:
http://arxiv.org/abs/2412.18999