Zobrazeno 1 - 10
of 38 023
pro vyhledávání: '"Micah, A"'
Autor:
Potapczynski, Andres, Qiu, Shikai, Finzi, Marc, Ferri, Christopher, Chen, Zixi, Goldblum, Micah, Bruss, Bayan, De Sa, Christopher, Wilson, Andrew Gordon
Dense linear layers are the dominant computational bottleneck in large neural networks, presenting a critical need for more efficient alternatives. Previous efforts focused on a small number of hand-crafted structured matrices and neglected to invest
Externí odkaz:
http://arxiv.org/abs/2410.02117
Autor:
Feuer, Benjamin, Goldblum, Micah, Datta, Teresa, Nambiar, Sanjana, Besaleli, Raz, Dooley, Samuel, Cembalest, Max, Dickerson, John P.
The release of ChatGPT in November 2022 sparked an explosion of interest in post-training and an avalanche of new preference optimization (PO) methods. These methods claim superior alignment by virtue of better correspondence with human pairwise pref
Externí odkaz:
http://arxiv.org/abs/2409.15268
The mountain pine beetle (MPB), a destructive pest native to Western North America, has recently extended its range into Alberta, Canada. Predicting the dispersal of MPB is challenging due to their small size and complex dispersal behavior. Because o
Externí odkaz:
http://arxiv.org/abs/2409.05320
Autor:
Beck, Micah, Moore, Terry
In this paper we reexamine an assumption that underpinned the development of the Internet architecture, namely that a stateless and loosely synchronous point-to-point datagram delivery service would be sufficient to meet the needs of all network appl
Externí odkaz:
http://arxiv.org/abs/2409.05264
Autor:
Adler, Micah, Shavit, Nir
Recent advances in the understanding of neural networks suggest that superposition, the ability of a single neuron to represent multiple features simultaneously, is a key mechanism underlying the computational efficiency of large-scale networks. This
Externí odkaz:
http://arxiv.org/abs/2409.15318
The dominant practice of AI alignment assumes (1) that preferences are an adequate representation of human values, (2) that human rationality can be understood in terms of maximizing the satisfaction of preferences, and (3) that AI systems should be
Externí odkaz:
http://arxiv.org/abs/2408.16984
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
A firm seeks to analyze a dataset and to release the results. The dataset contains information about individual people, and the firm is subject to some regulation that forbids the release of the dataset itself. The regulation also imposes conditions
Externí odkaz:
http://arxiv.org/abs/2408.14740
Autor:
Roslund, Jonathan D., Kowligy, Abijith S., Fujita, Junichiro, Ledbetter, Micah P., Rakholia, Akash V., Boyd, Martin M., Abo-Shaeer, Jamil R., Cingöz, Arman
Sub-picosecond timing synchronization can enable future optical timekeeping networks, including coherent phased array radar imaging at GHz levels, intercontinental clock comparisons for the redefinition of the second, chronometric leveling, and synch
Externí odkaz:
http://arxiv.org/abs/2408.09290
Machine Learning (ML) is accelerating the progress of materials prediction and classification, with particular success in CGNN designs. While classical ML methods remain accessible, advanced deep networks are still challenging to build and train. We
Externí odkaz:
http://arxiv.org/abs/2407.18388