Zobrazeno 1 - 10
of 21 661
pro vyhledávání: '"Teo, P."'
Quantum-information processing and computation with bosonic qubits are corruptible by noise channels. Using interferometers and photon-subtraction gadgets (PSGs) accompanied by linear amplification and attenuation, we establish linear-optical methods
Externí odkaz:
http://arxiv.org/abs/2411.11313
Stacking, a potent ensemble learning method, leverages a meta-model to harness the strengths of multiple base models, thereby enhancing prediction accuracy. Traditional stacking techniques typically utilize established learning models, such as logist
Externí odkaz:
http://arxiv.org/abs/2410.22722
Autor:
Witowski, Jan, Zeng, Ken, Cappadona, Joseph, Elayoubi, Jailan, Chiru, Elena Diana, Chan, Nancy, Kang, Young-Joon, Howard, Frederick, Ostrovnaya, Irina, Fernandez-Granda, Carlos, Schnabel, Freya, Ozerdem, Ugur, Liu, Kangning, Steinsnyder, Zoe, Thakore, Nitya, Sadic, Mohammad, Yeung, Frank, Liu, Elisa, Hill, Theodore, Swett, Benjamin, Rigau, Danielle, Clayburn, Andrew, Speirs, Valerie, Vetter, Marcus, Sojak, Lina, Soysal, Simone Muenst, Baumhoer, Daniel, Choucair, Khalil, Zong, Yu, Daoud, Lina, Saad, Anas, Abdulsattar, Waleed, Beydoun, Rafic, Pan, Jia-Wern, Makmur, Haslina, Teo, Soo-Hwang, Pak, Linda Ma, Angel, Victor, Zilenaite-Petrulaitiene, Dovile, Laurinavicius, Arvydas, Klar, Natalie, Piening, Brian D., Bifulco, Carlo, Jun, Sun-Young, Yi, Jae Pak, Lim, Su Hyun, Brufsky, Adam, Esteva, Francisco J., Pusztai, Lajos, LeCun, Yann, Geras, Krzysztof J.
Treatment selection in breast cancer is guided by molecular subtypes and clinical characteristics. Recurrence risk assessment plays a crucial role in personalizing treatment. Current methods, including genomic assays, have limited accuracy and clinic
Externí odkaz:
http://arxiv.org/abs/2410.21256
Recently, prompt learning has emerged as the state-of-the-art (SOTA) for fair text-to-image (T2I) generation. Specifically, this approach leverages readily available reference images to learn inclusive prompts for each target Sensitive Attribute (tSA
Externí odkaz:
http://arxiv.org/abs/2410.18615
Autor:
Teo, Rachel S. Y., Nguyen, Tan M.
Sparse Mixture of Experts (SMoE) has become the key to unlocking unparalleled scalability in deep learning. SMoE has the potential to exponentially increase parameter count while maintaining the efficiency of the model by only activating a small subs
Externí odkaz:
http://arxiv.org/abs/2410.14574
Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study
This study investigates the application of Transfer Learning (TL) on Transformer architectures to enhance building energy consumption forecasting. Transformers are a relatively new deep learning architecture, which has served as the foundation for gr
Externí odkaz:
http://arxiv.org/abs/2410.14107
Autor:
Teo, Bradley Wei Jie, Titzer, Ben L.
Algebraic Data Types (ADTs) are an increasingly common feature in modern programming languages. In many implementations, values of non-nullary, multi-case ADTs are allocated on the heap, which may reduce performance and increase memory usage. This wo
Externí odkaz:
http://arxiv.org/abs/2410.11094
Autor:
Wardle, Grant, Susnjak, Teo
This paper examines how the sequencing of images and text within multi-modal prompts influences the reasoning performance of large language models (LLMs). We performed empirical evaluations using three commercial LLMs. Our results demonstrate that th
Externí odkaz:
http://arxiv.org/abs/2410.03062
We study the topological order that arises from chiral states with ${\rm SU}(N)$ or ${\rm SO}(N)$ edge-state symmetry. This extends our previous study of topological orders that descend from the bosonic $E_8$ quantum Hall state. We use exactly solvab
Externí odkaz:
http://arxiv.org/abs/2410.01094
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