Zobrazeno 1 - 10
of 306 014
pro vyhledávání: '"Cole, A"'
Autor:
Rakib, Mohammed, Mohammed, Adil Aman, Diggins, Cole, Sharma, Sumit, Sadler, Jeff Michael, Ochsner, Tyson, Bagavathi, Arun
Soil moisture estimation is an important task to enable precision agriculture in creating optimal plans for irrigation, fertilization, and harvest. It is common to utilize statistical and machine learning models to estimate soil moisture from traditi
Externí odkaz:
http://arxiv.org/abs/2408.00963
The potential future democratization of spaceflight reveals a need for design of experiences that extend beyond our current conceptualization of spaceflight. Research on career astronauts indicates that transformative experiences occur during spacefl
Externí odkaz:
http://arxiv.org/abs/2408.00085
Autor:
Hugelmeyer, Cole
We resolve the periodic square peg problem using a simple Lagrangian Floer homology argument. Inscribed squares are interpreted as intersections between two non-displaceable Lagrangian sub-manifolds of a symplectic 4-torus.
Externí odkaz:
http://arxiv.org/abs/2407.20412
Autor:
Kelson-Packer, Cole, Miyake, Akimasa
The interplay of unitary evolution and projective measurements is a modern interest in the study of many-body entanglement. On the one hand, the competition between these two processes leads to the recently-discovered measurement-induced phase transi
Externí odkaz:
http://arxiv.org/abs/2407.18340
Autor:
Whitmeyer, Mark, Williams, Cole
In this paper, we reveal that the signal representation of information introduced by Gentzkow and Kamenica (2017) can be applied profitably to dynamic decision problems. We use this to characterize when one dynamic information structure is more valua
Externí odkaz:
http://arxiv.org/abs/2407.16648
Autor:
Longpre, Shayne, Mahari, Robert, Lee, Ariel, Lund, Campbell, Oderinwale, Hamidah, Brannon, William, Saxena, Nayan, Obeng-Marnu, Naana, South, Tobin, Hunter, Cole, Klyman, Kevin, Klamm, Christopher, Schoelkopf, Hailey, Singh, Nikhil, Cherep, Manuel, Anis, Ahmad, Dinh, An, Chitongo, Caroline, Yin, Da, Sileo, Damien, Mataciunas, Deividas, Misra, Diganta, Alghamdi, Emad, Shippole, Enrico, Zhang, Jianguo, Materzynska, Joanna, Qian, Kun, Tiwary, Kush, Miranda, Lester, Dey, Manan, Liang, Minnie, Hamdy, Mohammed, Muennighoff, Niklas, Ye, Seonghyeon, Kim, Seungone, Mohanty, Shrestha, Gupta, Vipul, Sharma, Vivek, Chien, Vu Minh, Zhou, Xuhui, Li, Yizhi, Xiong, Caiming, Villa, Luis, Biderman, Stella, Li, Hanlin, Ippolito, Daphne, Hooker, Sara, Kabbara, Jad, Pentland, Sandy
General-purpose artificial intelligence (AI) systems are built on massive swathes of public web data, assembled into corpora such as C4, RefinedWeb, and Dolma. To our knowledge, we conduct the first, large-scale, longitudinal audit of the consent pro
Externí odkaz:
http://arxiv.org/abs/2407.14933
Autor:
Zhang, Yizi, Wang, Yanchen, Jimenez-Beneto, Donato, Wang, Zixuan, Azabou, Mehdi, Richards, Blake, Winter, Olivier, Laboratory, International Brain, Dyer, Eva, Paninski, Liam, Hurwitz, Cole
Neuroscience research has made immense progress over the last decade, but our understanding of the brain remains fragmented and piecemeal: the dream of probing an arbitrary brain region and automatically reading out the information encoded in its neu
Externí odkaz:
http://arxiv.org/abs/2407.14668
Autor:
Ijishakin, Ayodeji, Hadjasavilou, Adamos, Abdulaal, Ahmed, Montana-Brown, Nina, Townend, Florence, Spinelli, Edoardo, Fillipi, Massimo, Agosta, Federica, Cole, James, Malaspina, Andrea
Predicting survival in Amyotrophic Lateral Sclerosis (ALS) is a challenging task. Magnetic resonance imaging (MRI) data provide in vivo insight into brain health, but the low prevalence of the condition and resultant data scarcity limit training set
Externí odkaz:
http://arxiv.org/abs/2407.14191
Autor:
Amvrosiadis, Aristeidis, Nightingale, James W., He, Qiuhan, Robertson, Andrew, Lange, Samuel C., Frenk, Carlos S., Cole, Shaun, Massey, Richard, Poci, Adriano
The surface brightness distribution of massive early-type galaxies (ETGs) often deviates from a perfectly elliptical shape. To capture these deviations in their isophotes during an ellipse fitting analysis, Fourier modes of order $m = 3, 4$ are often
Externí odkaz:
http://arxiv.org/abs/2407.12983
Autor:
Marks, Markus, Knott, Manuel, Kondapaneni, Neehar, Cole, Elijah, Defraeye, Thijs, Perez-Cruz, Fernando, Perona, Pietro
Self-supervised learning (SSL) is a machine learning approach where the data itself provides supervision, eliminating the need for external labels. The model is forced to learn about the data structure or context by solving a pretext task. With SSL,
Externí odkaz:
http://arxiv.org/abs/2407.12210