Zobrazeno 1 - 10
of 31 514
pro vyhledávání: '"Feinberg, A"'
Autor:
Liu, Yahua, Hosseini, Seyed Ali, Liu, Cong, Feinberg, Milo, Dorschner, Benedikt, Wang, Zuankai, Karlin, Ilya
Contact time of bouncing drops is one of the most essential parameters to quantify the water-repellency of surfaces. Generally, the contact time on superhydrophobic surfaces is known to be Weber number-independent. Here, we probe an additional charac
Externí odkaz:
http://arxiv.org/abs/2410.20821
Autor:
Rawat, Ankit Singh, Sadhanala, Veeranjaneyulu, Rostamizadeh, Afshin, Chakrabarti, Ayan, Jitkrittum, Wittawat, Feinberg, Vladimir, Kim, Seungyeon, Harutyunyan, Hrayr, Saunshi, Nikunj, Nado, Zachary, Shivanna, Rakesh, Reddi, Sashank J., Menon, Aditya Krishna, Anil, Rohan, Kumar, Sanjiv
A primary challenge in large language model (LLM) development is their onerous pre-training cost. Typically, such pre-training involves optimizing a self-supervised objective (such as next-token prediction) over a large corpus. This paper explores a
Externí odkaz:
http://arxiv.org/abs/2410.18779
Autor:
Feinberg, Brooke, Li, Aiwen
We build upon a recently introduced class of quasi-graph random features (q-GRFs), which have demonstrated the ability to yield lower variance estimators of the 2-regularized Laplacian kernel (Choromanski 2023). Our research investigates whether simi
Externí odkaz:
http://arxiv.org/abs/2410.08389
Autor:
Agarwal, Naman, Chen, Xinyi, Dogariu, Evan, Feinberg, Vlad, Suo, Daniel, Bartlett, Peter, Hazan, Elad
We address the challenge of efficient auto-regressive generation in sequence prediction models by introducing FutureFill - a method for fast generation that applies to any sequence prediction algorithm based on convolutional operators. Our approach r
Externí odkaz:
http://arxiv.org/abs/2410.03766
Autor:
Xiao, T. Patrick, Feinberg, Ben, Richardson, David K., Cannon, Matthew, Medu, Harsha, Agrawal, Vineet, Marinella, Matthew J., Agarwal, Sapan, Bennett, Christopher H.
Edge devices are being deployed at increasing volumes to sense and act on information from the physical world. The discrete Fourier transform (DFT) is often necessary to make this sensed data suitable for further processing $\unicode{x2013}$ such as
Externí odkaz:
http://arxiv.org/abs/2409.19071
We study plasmonic time crystals, which constitute an extension of the dielectric-based photonic time crystals to plasmonic media. A salient feature of plasmonic time crystals is their ability to support amplification of both longitudinal and transve
Externí odkaz:
http://arxiv.org/abs/2407.19958
Autor:
Töpperwien, Karl, Vignat, Guillaume, Feinberg, Alexandra J., Daube, Conner, Alton, Mitchell W., Fortner, Edward C., Canagaratna, Manjula R., Kling, Matthias F., Johnson, Mary, Nadeau, Kari, Herndon, Scott, Jayne, John T., Ihme, Matthias
Wildfire smoke is a health hazard as it contains a mixture of carcinogenic volatile compounds and fine particulate matter. In particular, exposure to polycyclic aromatic hydrocarbons (PAHs) is a major concern, since these compounds have been recogniz
Externí odkaz:
http://arxiv.org/abs/2407.01944
Autor:
Linker, Thomas M., Dagar, Ritika, Feinberg, Alexandra, Sahel-Schackis, Samuel, Nomura, Ken-ichi, Nakano, Aiichiro, Shimojo, Fuyuki, Vashishta, Priya, Bergmann, Uwe, Kling, Matthias F., Summers, Adam M.
High electric fields can significantly alter catalytic environments and the resultant chemical processes. Such fields arise naturally in biological systems but can also be artificially induced through localized excitations at nanoscale. Recently, str
Externí odkaz:
http://arxiv.org/abs/2406.15602
Autor:
Stark, Christopher C., Mennesson, Bertrand, Bryson, Steve, Ford, Eric B., Robinson, Tyler D., Belikov, Ruslan, Bolcar, Matthew R., Feinberg, Lee D., Guyon, Olivier, Latouf, Natasha, Mandell, Avi M., Rauscher, Bernard J., Sirbu, Dan, Tuchow, Noah W.
The Habitable Worlds Observatory (HWO) will seek to detect and characterize potentially Earth-like planets around other stars. To ensure that the mission achieves the Astro2020 Decadal's recommended goal of 25 exoEarth candidates (EECs), we must take
Externí odkaz:
http://arxiv.org/abs/2405.19418
Autor:
Gemma Team, Mesnard, Thomas, Hardin, Cassidy, Dadashi, Robert, Bhupatiraju, Surya, Pathak, Shreya, Sifre, Laurent, Rivière, Morgane, Kale, Mihir Sanjay, Love, Juliette, Tafti, Pouya, Hussenot, Léonard, Sessa, Pier Giuseppe, Chowdhery, Aakanksha, Roberts, Adam, Barua, Aditya, Botev, Alex, Castro-Ros, Alex, Slone, Ambrose, Héliou, Amélie, Tacchetti, Andrea, Bulanova, Anna, Paterson, Antonia, Tsai, Beth, Shahriari, Bobak, Lan, Charline Le, Choquette-Choo, Christopher A., Crepy, Clément, Cer, Daniel, Ippolito, Daphne, Reid, David, Buchatskaya, Elena, Ni, Eric, Noland, Eric, Yan, Geng, Tucker, George, Muraru, George-Christian, Rozhdestvenskiy, Grigory, Michalewski, Henryk, Tenney, Ian, Grishchenko, Ivan, Austin, Jacob, Keeling, James, Labanowski, Jane, Lespiau, Jean-Baptiste, Stanway, Jeff, Brennan, Jenny, Chen, Jeremy, Ferret, Johan, Chiu, Justin, Mao-Jones, Justin, Lee, Katherine, Yu, Kathy, Millican, Katie, Sjoesund, Lars Lowe, Lee, Lisa, Dixon, Lucas, Reid, Machel, Mikuła, Maciej, Wirth, Mateo, Sharman, Michael, Chinaev, Nikolai, Thain, Nithum, Bachem, Olivier, Chang, Oscar, Wahltinez, Oscar, Bailey, Paige, Michel, Paul, Yotov, Petko, Chaabouni, Rahma, Comanescu, Ramona, Jana, Reena, Anil, Rohan, McIlroy, Ross, Liu, Ruibo, Mullins, Ryan, Smith, Samuel L, Borgeaud, Sebastian, Girgin, Sertan, Douglas, Sholto, Pandya, Shree, Shakeri, Siamak, De, Soham, Klimenko, Ted, Hennigan, Tom, Feinberg, Vlad, Stokowiec, Wojciech, Chen, Yu-hui, Ahmed, Zafarali, Gong, Zhitao, Warkentin, Tris, Peran, Ludovic, Giang, Minh, Farabet, Clément, Vinyals, Oriol, Dean, Jeff, Kavukcuoglu, Koray, Hassabis, Demis, Ghahramani, Zoubin, Eck, Douglas, Barral, Joelle, Pereira, Fernando, Collins, Eli, Joulin, Armand, Fiedel, Noah, Senter, Evan, Andreev, Alek, Kenealy, Kathleen
This work introduces Gemma, a family of lightweight, state-of-the art open models built from the research and technology used to create Gemini models. Gemma models demonstrate strong performance across academic benchmarks for language understanding,
Externí odkaz:
http://arxiv.org/abs/2403.08295