Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Stathas, Nickolas"'
Autor:
Saba, Andrew, Adetunji, Aderotimi, Johnson, Adam, Kothari, Aadi, Sivaprakasam, Matthew, Spisak, Joshua, Bharatia, Prem, Chauhan, Arjun, Duff Jr., Brendan, Gasparro, Noah, King, Charles, Larkin, Ryan, Mao, Brian, Nye, Micah, Parashar, Anjali, Attias, Joseph, Balciunas, Aurimas, Brown, Austin, Chang, Chris, Gao, Ming, Heredia, Cindy, Keats, Andrew, Lavariega, Jose, Muckelroy III, William, Slavescu, Andre, Stathas, Nickolas, Suvarna, Nayana, Zhang, Chuan Tian, Scherer, Sebastian, Ramanan, Deva
Publikováno v:
Field Robotics Volume 4 (2024) 1-45
Autonomous motorsports aim to replicate the human racecar driver with software and sensors. As in traditional motorsports, Autonomous Racing Vehicles (ARVs) are pushed to their handling limits in multi-agent scenarios at extremely high ($\geq 150mph$
Externí odkaz:
http://arxiv.org/abs/2408.15425
Autor:
Stathas, Nickolas
Graphs can be used to represent many important classes of structured real-world data. For this reason, there has been an increase of research interest in various machine learning approaches to solve tasks such as link prediction and node property pre
Externí odkaz:
https://hdl.handle.net/1721.1/138975
Autor:
Kaler, Tim, Stathas, Nickolas, Ouyang, Anne, Iliopoulos, Alexandros-Stavros, Schardl, Tao B., Leiserson, Charles E., Chen, Jie
Improving the training and inference performance of graph neural networks (GNNs) is faced with a challenge uncommon in general neural networks: creating mini-batches requires a lot of computation and data movement due to the exponential growth of mul
Externí odkaz:
http://arxiv.org/abs/2110.08450