Zobrazeno 1 - 10
of 21 999
pro vyhledávání: '"A. P. Owens"'
Autor:
Park, Jeongsoo, Owens, Andrew
One of the key challenges of detecting AI-generated images is spotting images that have been created by previously unseen generative models. We argue that the limited diversity of the training data is a major obstacle to addressing this problem, and
Externí odkaz:
http://arxiv.org/abs/2411.04125
Autor:
Batrakov, Kirill, Yurchenko, Sergei N., Owens, Alec, Tennyson, Jonathan, Mitrushchenkov, Alexander, Ross, Amanda J., Crozet, Patrick, Pashov, Asen
New line lists for four isotopologues of nickel monohydride, $^{58}$NiH, $^{60}$NiH, $^{62}$NiH, and $^{58}$NiD are presented covering the wavenumber range $<10000$ cm$^{-1}$ ($\lambda > 1$ $\mu$m), $J$ up to 37.5 for transitions within and between t
Externí odkaz:
http://arxiv.org/abs/2410.16575
Autor:
Rizvi, Naba, Strickland, Harper, Gitelman, Daniel, Cooper, Tristan, Morales-Flores, Alexis, Golden, Michael, Kallepalli, Aekta, Alurkar, Akshat, Owens, Haaset, Ahmedi, Saleha, Khirwadkar, Isha, Munyaka, Imani, Ousidhoum, Nedjma
As our understanding of autism and ableism continues to increase, so does our understanding of ableist language towards autistic people. Such language poses a significant challenge in NLP research due to its subtle and context-dependent nature. Yet,
Externí odkaz:
http://arxiv.org/abs/2410.16520
Autor:
Rodriguez, Samanta, Dou, Yiming, Bogert, William van den, Oller, Miquel, So, Kevin, Owens, Andrew, Fazeli, Nima
Today's tactile sensors have a variety of different designs, making it challenging to develop general-purpose methods for processing touch signals. In this paper, we learn a unified representation that captures the shared information between differen
Externí odkaz:
http://arxiv.org/abs/2410.11834
Autor:
Yurchenko, Sergei N., Bowesman, Charles A., Brady, Ryan P., Guest, Elizabeth R., Kefala, Kyriaki, Mitev, Georgi B., Owens, Alec, Perri, Armando N., Pezzella, Marco, Smola, Oleksiy, Sokolov, Andrei, Zhang, Jingxin, Tennyson, Jonathan
Publikováno v:
MNRAS, 533, 3442-3456 (2020)
A theoretical line list for $^{15}$NH$_3$ CoYuTe-15 is presented based on the empirical potential energy and ab initio dipole moments surfaces developed and used for the production of the ExoMol line list CoYuTe for $^{14}$NH$_3$. The ro-vibrational
Externí odkaz:
http://arxiv.org/abs/2410.04295
Autor:
Putterman, Harald, Noh, Kyungjoo, Patel, Rishi N., Peairs, Gregory A., MacCabe, Gregory S., Lee, Menyoung, Aghaeimeibodi, Shahriar, Hann, Connor T., Jarrige, Ignace, Marcaud, Guillaume, He, Yuan, Moradinejad, Hesam, Owens, John Clai, Scaffidi, Thomas, Arrangoiz-Arriola, Patricio, Iverson, Joe, Levine, Harry, Brandão, Fernando G. S. L., Matheny, Matthew H., Painter, Oskar
Cat qubits, a type of bosonic qubit encoded in a harmonic oscillator, can exhibit an exponential noise bias against bit-flip errors with increasing mean photon number. Here, we focus on cat qubits stabilized by two-photon dissipation, where pairs of
Externí odkaz:
http://arxiv.org/abs/2409.17556
Autor:
Pallerla, Chaitanya, Feng, Yihong, Owens, Casey M., Bist, Ramesh Bahadur, Mahmoudi, Siavash, Sohrabipour, Pouya, Davar, Amirreza, Wang, Dongyi
Due to intensive genetic selection for rapid growth rates and high broiler yields in recent years, the global poultry industry has faced a challenging problem in the form of woody breast (WB) conditions. This condition has caused significant economic
Externí odkaz:
http://arxiv.org/abs/2409.17210
Autor:
Shrivastava, Ayush, Owens, Andrew
We present a simple, self-supervised approach to the Tracking Any Point (TAP) problem. We train a global matching transformer to find cycle consistent tracks through video via contrastive random walks, using the transformer's attention-based global m
Externí odkaz:
http://arxiv.org/abs/2409.16288
Speech sounds convey a great deal of information about the scenes, resulting in a variety of effects ranging from reverberation to additional ambient sounds. In this paper, we manipulate input speech to sound as though it was recorded within a differ
Externí odkaz:
http://arxiv.org/abs/2409.14340
Modern incarnations of tactile sensors produce high-dimensional raw sensory feedback such as images, making it challenging to efficiently store, process, and generalize across sensors. To address these concerns, we introduce a novel implicit function
Externí odkaz:
http://arxiv.org/abs/2409.14592