Zobrazeno 1 - 10
of 31 745
pro vyhledávání: '"P, Owens"'
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
Autor:
Owens, Deonna M., Rossi, Ryan A., Kim, Sungchul, Yu, Tong, Dernoncourt, Franck, Chen, Xiang, Zhang, Ruiyi, Gu, Jiuxiang, Deilamsalehy, Hanieh, Lipka, Nedim
Large Language Models (LLMs) are powerful tools with the potential to benefit society immensely, yet, they have demonstrated biases that perpetuate societal inequalities. Despite significant advancements in bias mitigation techniques using data augme
Externí odkaz:
http://arxiv.org/abs/2409.13884
Autor:
Putterman, Harald, Noh, Kyungjoo, Hann, Connor T., MacCabe, Gregory S., Aghaeimeibodi, Shahriar, Patel, Rishi N., Lee, Menyoung, Jones, William M., Moradinejad, Hesam, Rodriguez, Roberto, Mahuli, Neha, Rose, Jefferson, Owens, John Clai, Levine, Harry, Rosenfeld, Emma, Reinhold, Philip, Moncelsi, Lorenzo, Alcid, Joshua Ari, Alidoust, Nasser, Arrangoiz-Arriola, Patricio, Barnett, James, Bienias, Przemyslaw, Carson, Hugh A., Chen, Cliff, Chen, Li, Chinkezian, Harutiun, Chisholm, Eric M., Chou, Ming-Han, Clerk, Aashish, Clifford, Andrew, Cosmic, R., Curiel, Ana Valdes, Davis, Erik, DeLorenzo, Laura, D'Ewart, J. Mitchell, Diky, Art, D'Souza, Nathan, Dumitrescu, Philipp T., Eisenmann, Shmuel, Elkhouly, Essam, Evenbly, Glen, Fang, Michael T., Fang, Yawen, Fling, Matthew J., Fon, Warren, Garcia, Gabriel, Gorshkov, Alexey V., Grant, Julia A., Gray, Mason J., Grimberg, Sebastian, Grimsmo, Arne L., Haim, Arbel, Hand, Justin, He, Yuan, Hernandez, Mike, Hover, David, Hung, Jimmy S. C., Hunt, Matthew, Iverson, Joe, Jarrige, Ignace, Jaskula, Jean-Christophe, Jiang, Liang, Kalaee, Mahmoud, Karabalin, Rassul, Karalekas, Peter J., Keller, Andrew J., Khalajhedayati, Amirhossein, Kubica, Aleksander, Lee, Hanho, Leroux, Catherine, Lieu, Simon, Ly, Victor, Madrigal, Keven Villegas, Marcaud, Guillaume, McCabe, Gavin, Miles, Cody, Milsted, Ashley, Minguzzi, Joaquin, Mishra, Anurag, Mukherjee, Biswaroop, Naghiloo, Mahdi, Oblepias, Eric, Ortuno, Gerson, Pagdilao, Jason, Pancotti, Nicola, Panduro, Ashley, Paquette, JP, Park, Minje, Peairs, Gregory A., Perello, David, Peterson, Eric C., Ponte, Sophia, Preskill, John, Qiao, Johnson, Refael, Gil, Resnick, Rachel, Retzker, Alex, Reyna, Omar A., Runyan, Marc, Ryan, Colm A., Sahmoud, Abdulrahman, Sanchez, Ernesto, Sanil, Rohan, Sankar, Krishanu, Sato, Yuki, Scaffidi, Thomas, Siavoshi, Salome, Sivarajah, Prasahnt, Skogland, Trenton, Su, Chun-Ju, Swenson, Loren J., Teo, Stephanie M., Tomada, Astrid, Torlai, Giacomo, Wollack, E. Alex, Ye, Yufeng, Zerrudo, Jessica A., Zhang, Kailing, Brandão, Fernando G. S. L., Matheny, Matthew H., Painter, Oskar
In order to solve problems of practical importance, quantum computers will likely need to incorporate quantum error correction, where a logical qubit is redundantly encoded in many noisy physical qubits. The large physical-qubit overhead typically as
Externí odkaz:
http://arxiv.org/abs/2409.13025
Today's touch sensors come in many shapes and sizes. This has made it challenging to develop general-purpose touch processing methods since models are generally tied to one specific sensor design. We address this problem by performing cross-modal pre
Externí odkaz:
http://arxiv.org/abs/2409.08269
Autor:
Freedman, Wendy L., Madore, Barry F., Jang, In Sung, Hoyt, Taylor J., Lee, Abigail J., Owens, Kayla A.
We present the latest results from the Chicago Carnegie Hubble Program (CCHP) to measure the Hubble constant using data from the James Webb Space Telescope (JWST). This program is based upon three independent methods: (1) Tip of the Red Giant Branch
Externí odkaz:
http://arxiv.org/abs/2408.06153
Autor:
Lee, Abigail J., Freedman, Wendy L., Madore, Barry F., Jang, In Sung, Owens, Kayla A., Hoyt, Taylor J.
The J-region asymptotic giant branch (JAGB) method is a new standard candle based on the constant luminosities of carbon-rich asymptotic giant branch stars in the J band. The JAGB method is independent of the Cepheid and TRGB distance indicators. The
Externí odkaz:
http://arxiv.org/abs/2408.03474