Zobrazeno 1 - 10
of 39 420
pro vyhledávání: '"Wesley, P"'
Autor:
Kashi, Aditya, Lu, Hao, Brewer, Wesley, Rogers, David, Matheson, Michael, Shankar, Mallikarjun, Wang, Feiyi
The explosive demand for artificial intelligence (AI) workloads has led to a significant increase in silicon area dedicated to lower-precision computations on recent high-performance computing hardware designs. However, mixed-precision capabilities,
Externí odkaz:
http://arxiv.org/abs/2412.19322
ImageNet, an influential dataset in computer vision, is traditionally evaluated using single-label classification, which assumes that an image can be adequately described by a single concept or label. However, this approach may not fully capture the
Externí odkaz:
http://arxiv.org/abs/2412.18409
Deep learning models in computer vision have achieved significant success but pose increasing concerns about energy consumption and sustainability. Despite these concerns, there is a lack of comprehensive understanding of their energy efficiency duri
Externí odkaz:
http://arxiv.org/abs/2412.09731
Loss of plasticity, trainability loss, and primacy bias have been identified as issues arising when training deep neural networks on sequences of tasks -- all referring to the increased difficulty in training on new tasks. We propose to use Parseval
Externí odkaz:
http://arxiv.org/abs/2412.07224
Autor:
Lewington, Aiden, Vittalam, Alekhya, Singh, Anshumaan, Uppuluri, Anuja, Ashok, Arjun, Athmaram, Ashrith Mandayam, Milt, Austin, Smith, Benjamin, Weinberger, Charlie, Sarin, Chatanya, Bergmeir, Christoph, Chang, Cliff, Patel, Daivik, Li, Daniel, Bell, David, Cao, Defu, Shin, Donghwa, Kang, Edward, Zhang, Edwin, Li, Enhui, Chen, Felix, Smithline, Gabe, Chen, Haipeng, Gasztowtt, Henry, Shin, Hoon, Zhang, Jiayun, Gray, Joshua, Low, Khai Hern, Patel, Kishan, Cooke, Lauren Hannah, Burstein, Marco, Kalapatapu, Maya, Mittal, Mitali, Chen, Raymond, Zhao, Rosie, Majid, Sameen, Potlapalli, Samya, Wang, Shang, Patel, Shrenik, Li, Shuheng, Komaragiri, Siva, Lu, Song, Siangjaeo, Sorawit, Jung, Sunghoo, Zhang, Tianyu, Mao, Valery, Krishnakumar, Vikram, Zhu, Vincent, Kam, Wesley, Li, Xingzhe, Liu, Yumeng
Advances in artificial intelligence (AI) present significant risks and opportunities, requiring improved governance to mitigate societal harms and promote equitable benefits. Current incentive structures and regulatory delays may hinder responsible A
Externí odkaz:
http://arxiv.org/abs/2412.06936
Autor:
Holliday, Wesley H.
We propose a model of unawareness that remains close to the paradigm of Aumann's model for knowledge [R. J. Aumann, International Journal of Game Theory 28 (1999) 263-300]: just as Aumann uses a correspondence on a state space to define an agent's kn
Externí odkaz:
http://arxiv.org/abs/2412.00897
Autor:
Holliday, Wesley H.
Challenges to classical logic have emerged from several sources. According to recent work, the behavior of epistemic modals in natural language motivates weakening classical logic to orthologic, a logic originally discovered by Birkhoff and von Neuma
Externí odkaz:
http://arxiv.org/abs/2412.00356
In this paper we employ a configurational information measure, specifically the differential configurational complexity (DCC), to quantify the information content of lump-type solutions in various scalar field models, including two modified inverted
Externí odkaz:
http://arxiv.org/abs/2412.00352
Autor:
Robinson, James E., Schwamb, Megan E., Jones, R. Lynne, Jurić, Mario, Yoachim, Peter, Bolin, Bryce T., Chandler, Colin O., Chesley, Steven R., Fedorets, Grigori, Fraser, Wesley C., Greenstreet, Sarah, Hsieh, Henry H., Merritt, Stephanie R., Opitom, Cyrielle, Parejko, John K.
The Vera C. Rubin Observatory is due to commence the 10-year Legacy Survey of Space and Time (LSST) at the end of 2025. To detect transient/variable sources and identify solar system objects (SSOs), the processing pipelines require templates of the s
Externí odkaz:
http://arxiv.org/abs/2411.19796
Autor:
Rehman, Abdul, van de Kruijs, Robbert W. E., Beld, Wesley T. E. van den, Sturm, Jacobus M., Ackermann, Marcelo
Hydrogen, crucial for the green energy transition, poses a challenge due to its tendency to degrade surrounding wall materials. To harness hydrogen's potential, it is essential to identify materials' parameter(s) that modulate hydrogen-material inter
Externí odkaz:
http://arxiv.org/abs/2411.17276