Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Sánchez‐González, Álvaro"'
Autor:
Price, Ilan, Sanchez-Gonzalez, Alvaro, Alet, Ferran, Andersson, Tom R., El-Kadi, Andrew, Masters, Dominic, Ewalds, Timo, Stott, Jacklynn, Mohamed, Shakir, Battaglia, Peter, Lam, Remi, Willson, Matthew
Weather forecasts are fundamentally uncertain, so predicting the range of probable weather scenarios is crucial for important decisions, from warning the public about hazardous weather, to planning renewable energy use. Here, we introduce GenCast, a
Externí odkaz:
http://arxiv.org/abs/2312.15796
Autor:
Kochkov, Dmitrii, Yuval, Janni, Langmore, Ian, Norgaard, Peter, Smith, Jamie, Mooers, Griffin, Klöwer, Milan, Lottes, James, Rasp, Stephan, Düben, Peter, Hatfield, Sam, Battaglia, Peter, Sanchez-Gonzalez, Alvaro, Willson, Matthew, Brenner, Michael P., Hoyer, Stephan
General circulation models (GCMs) are the foundation of weather and climate prediction. GCMs are physics-based simulators which combine a numerical solver for large-scale dynamics with tuned representations for small-scale processes such as cloud for
Externí odkaz:
http://arxiv.org/abs/2311.07222
Autor:
Rasp, Stephan, Hoyer, Stephan, Merose, Alexander, Langmore, Ian, Battaglia, Peter, Russel, Tyler, Sanchez-Gonzalez, Alvaro, Yang, Vivian, Carver, Rob, Agrawal, Shreya, Chantry, Matthew, Bouallegue, Zied Ben, Dueben, Peter, Bromberg, Carla, Sisk, Jared, Barrington, Luke, Bell, Aaron, Sha, Fei
WeatherBench 2 is an update to the global, medium-range (1-14 day) weather forecasting benchmark proposed by Rasp et al. (2020), designed with the aim to accelerate progress in data-driven weather modeling. WeatherBench 2 consists of an open-source e
Externí odkaz:
http://arxiv.org/abs/2308.15560
Autor:
Lam, Remi, Sanchez-Gonzalez, Alvaro, Willson, Matthew, Wirnsberger, Peter, Fortunato, Meire, Alet, Ferran, Ravuri, Suman, Ewalds, Timo, Eaton-Rosen, Zach, Hu, Weihua, Merose, Alexander, Hoyer, Stephan, Holland, George, Vinyals, Oriol, Stott, Jacklynn, Pritzel, Alexander, Mohamed, Shakir, Battaglia, Peter
Global medium-range weather forecasting is critical to decision-making across many social and economic domains. Traditional numerical weather prediction uses increased compute resources to improve forecast accuracy, but cannot directly use historical
Externí odkaz:
http://arxiv.org/abs/2212.12794
Autor:
Allen, Kelsey R., Rubanova, Yulia, Lopez-Guevara, Tatiana, Whitney, William, Sanchez-Gonzalez, Alvaro, Battaglia, Peter, Pfaff, Tobias
Simulating rigid collisions among arbitrary shapes is notoriously difficult due to complex geometry and the strong non-linearity of the interactions. While graph neural network (GNN)-based models are effective at learning to simulate complex physical
Externí odkaz:
http://arxiv.org/abs/2212.03574
Autor:
Ferludin, Oleksandr, Eigenwillig, Arno, Blais, Martin, Zelle, Dustin, Pfeifer, Jan, Sanchez-Gonzalez, Alvaro, Li, Wai Lok Sibon, Abu-El-Haija, Sami, Battaglia, Peter, Bulut, Neslihan, Halcrow, Jonathan, de Almeida, Filipe Miguel Gonçalves, Gonnet, Pedro, Jiang, Liangze, Kothari, Parth, Lattanzi, Silvio, Linhares, André, Mayer, Brandon, Mirrokni, Vahab, Palowitch, John, Paradkar, Mihir, She, Jennifer, Tsitsulin, Anton, Villela, Kevin, Wang, Lisa, Wong, David, Perozzi, Bryan
TensorFlow-GNN (TF-GNN) is a scalable library for Graph Neural Networks in TensorFlow. It is designed from the bottom up to support the kinds of rich heterogeneous graph data that occurs in today's information ecosystems. In addition to enabling mach
Externí odkaz:
http://arxiv.org/abs/2207.03522
Autor:
Zaidi, Sheheryar, Schaarschmidt, Michael, Martens, James, Kim, Hyunjik, Teh, Yee Whye, Sanchez-Gonzalez, Alvaro, Battaglia, Peter, Pascanu, Razvan, Godwin, Jonathan
Many important problems involving molecular property prediction from 3D structures have limited data, posing a generalization challenge for neural networks. In this paper, we describe a pre-training technique based on denoising that achieves a new st
Externí odkaz:
http://arxiv.org/abs/2206.00133
Autor:
Artiles Medina, Alberto, Mínguez Ojeda, César, Subiela Henríquez, José Daniel, Muriel García, Alfonso, Sánchez González, Álvaro, Mata Alcaraz, Marina, Brasero Burgos, Jennifer, Gajate Borau, Pablo, Gómez Dos Santos, Victoria, Jiménez Cidre, Miguel Ángel, Burgos Revilla, Francisco Javier
Publikováno v:
In Clinical Genitourinary Cancer December 2024 22(6)
Autor:
Allen, Kelsey R., Lopez-Guevara, Tatiana, Stachenfeld, Kimberly, Sanchez-Gonzalez, Alvaro, Battaglia, Peter, Hamrick, Jessica, Pfaff, Tobias
Designing physical artifacts that serve a purpose - such as tools and other functional structures - is central to engineering as well as everyday human behavior. Though automating design has tremendous promise, general-purpose methods do not yet exis
Externí odkaz:
http://arxiv.org/abs/2202.00728