Zobrazeno 1 - 10
of 71 504
pro vyhledávání: '"Johnny So"'
Autor:
John, Peter St., Lin, Dejun, Binder, Polina, Greaves, Malcolm, Shah, Vega, John, John St., Lange, Adrian, Hsu, Patrick, Illango, Rajesh, Ramanathan, Arvind, Anandkumar, Anima, Brookes, David H, Busia, Akosua, Mahajan, Abhishaike, Malina, Stephen, Prasad, Neha, Sinai, Sam, Edwards, Lindsay, Gaudelet, Thomas, Regep, Cristian, Steinegger, Martin, Rost, Burkhard, Brace, Alexander, Hippe, Kyle, Naef, Luca, Kamata, Keisuke, Armstrong, George, Boyd, Kevin, Cao, Zhonglin, Chou, Han-Yi, Chu, Simon, Costa, Allan dos Santos, Darabi, Sajad, Dawson, Eric, Didi, Kieran, Fu, Cong, Geiger, Mario, Gill, Michelle, Hsu, Darren, Kaushik, Gagan, Korshunova, Maria, Kothen-Hill, Steven, Lee, Youhan, Liu, Meng, Livne, Micha, McClure, Zachary, Mitchell, Jonathan, Moradzadeh, Alireza, Mosafi, Ohad, Nashed, Youssef, Paliwal, Saee, Peng, Yuxing, Rabhi, Sara, Ramezanghorbani, Farhad, Reidenbach, Danny, Ricketts, Camir, Roland, Brian, Shah, Kushal, Shimko, Tyler, Sirelkhatim, Hassan, Srinivasan, Savitha, Stern, Abraham C, Toczydlowska, Dorota, Veccham, Srimukh Prasad, Venanzi, Niccolò Alberto Elia, Vorontsov, Anton, Wilber, Jared, Wilkinson, Isabel, Wong, Wei Jing, Xue, Eva, Ye, Cory, Yu, Xin, Zhang, Yang, Zhou, Guoqing, Zandstein, Becca, Dallago, Christian, Trentini, Bruno, Kucukbenli, Emine, Rvachov, Timur, Calleja, Eddie, Israeli, Johnny, Clifford, Harry, Haukioja, Risto, Haemel, Nicholas, Tretina, Kyle, Tadimeti, Neha, Costa, Anthony B
Artificial Intelligence models encoding biology and chemistry are opening new routes to high-throughput and high-quality in-silico drug development. However, their training increasingly relies on computational scale, with recent protein language mode
Externí odkaz:
http://arxiv.org/abs/2411.10548
Autor:
Moerman, Bente, Breivik, Øyvind, Hole, Lars R., Hope, Gaute, Johannessen, Johnny A., Rabault, Jean
In order to perform a sensitivity analysis of Lagrangian trajectory models, Lagrangian trajectory simulations have been compared to six OpenMetBuoy-v2021 drifter trajectories in the Agulhas Current System (Jan-Mar 2023). Three different Lagrangian tr
Externí odkaz:
http://arxiv.org/abs/2409.20096
Autor:
Zambrano, Johnny, Gómez-Soto, Franklin V., Lozano-Martín, Daniel, Martín, M. Carmen, Segovia, José J.
Publikováno v:
The Journal of Supercritical Fluids Volume 110, 2016, Pages 103-109
The interest of oil industry in increasing heavy oil production has promoted the use of enhanced oil recovery techniques such as $CO_{2}$ injection, which produce a decrease of oil viscosity and displacement of heavy oil from reservoir to surface. Th
Externí odkaz:
http://arxiv.org/abs/2409.10973
Autor:
Davis, A. Bianca, Garling, Christopher T., Nierenberg, Anna M., Peter, Annika H. G., Sardone, Amy, Kochanek, Christopher S., Leroy, Adam K., Casey, Kirsten J., Pogge, Richard W., Roberts, Daniella M., Sand, David J., Greco, Johnny P.
We present the results of the Large Binocular Telescope Satellites Of Nearby Galaxies Survey (LBT-SONG) ``Far Sample,'' including survey completeness estimates. We find 10 satellite candidates in the inner virial regions of 13 star-forming galaxies o
Externí odkaz:
http://arxiv.org/abs/2409.03999
Emergence, where complex behaviors develop from the interactions of simpler components within a network, plays a crucial role in enhancing neural network capabilities. We introduce a quantitative framework to measure emergence during the training pro
Externí odkaz:
http://arxiv.org/abs/2409.01568
A descent $k$ of a permutation $\pi=\pi_{1}\pi_{2}\dots\pi_{n}$ is called a big descent if $\pi_{k}>\pi_{k+1}+1$; denote the number of big descents of $\pi$ by $\operatorname{bdes}(\pi)$. We study the distribution of the $\operatorname{bdes}$ statist
Externí odkaz:
http://arxiv.org/abs/2408.15111
Publikováno v:
Computer ( Volume: 55, Issue: 12, December 2022)
We study the benefits and challenges of using Linked Open Data in smart city applications and propose a set of open source, highly scalable tools within the case of a public-rental bicycle system, which can act as a reference guide for other smart ci
Externí odkaz:
http://arxiv.org/abs/2408.14315
Autor:
Joyce, Johnny, Verschelde, Jan
Convolutional neural networks (CNNs) are a popular choice of model for tasks in computer vision. When CNNs are made with many layers, resulting in a deep neural network, skip connections may be added to create an easier gradient optimization problem
Externí odkaz:
http://arxiv.org/abs/2408.07815
Autor:
Roca-Fàbrega, Santi, Kim, Ji-hoon, Primack, Joel R., Genina, Anna, Jung, Minyong, Lupi, Alessandro, Nagamine, Kentaro, Powell, Johnny W., Quinn, Thomas R., Revaz, Yves, Shimizu, Ikkoh, Velázquez, Héctor, Collaboration, the AGORA
The AGORA Cosmorun (arXiv:2106.09738) is a set of hydrodynamical cosmological zoom-in simulations carried out within the AGORA High-resolution Galaxy Simulations Comparison Project (arXiv:1308.2669,arXiv:1610.03066). These simulations show the format
Externí odkaz:
http://arxiv.org/abs/2408.00432
We introduce a novel yet straightforward neural network initialization scheme that modifies conventional methods like Xavier and Kaiming initialization. Inspired by the concept of emergence and leveraging the emergence measures proposed by Li (2023),
Externí odkaz:
http://arxiv.org/abs/2407.19044