Zobrazeno 1 - 10
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pro vyhledávání: '"Burns, Thomas A."'
Large language models (LLMs) demonstrate an impressive ability to utilise information within the context of their input sequences to appropriately respond to data unseen by the LLM during its training procedure. This ability is known as in-context le
Externí odkaz:
http://arxiv.org/abs/2412.15113
Autor:
Burns, Thomas F
Southeast Asia is a geopolitically and socio-economically significant region with unique challenges and opportunities. Intensifying progress in generative AI against a backdrop of existing health security threats makes applications of AI to mitigate
Externí odkaz:
http://arxiv.org/abs/2411.14435
Autor:
Burns, Thomas F
I introduce a novel associative memory model named Correlated Dense Associative Memory (CDAM), which integrates both auto- and hetero-association in a unified framework for continuous-valued memory patterns. Employing an arbitrary graph structure to
Externí odkaz:
http://arxiv.org/abs/2404.07123
"A Fire That Burns": Thomas Merton, Catherine de Hueck Doherty and the Story of The Secular Journal.
Autor:
Coady, Mary Frances
Publikováno v:
Merton Annual. 2017, Vol. 30, p41-53. 13p.
Autor:
Givens, Jennifer E.
Publikováno v:
Human Ecology Review, 2017 Jan 01. 23(1), 201-204.
Externí odkaz:
https://www.jstor.org/stable/26367970
Autor:
Burns, Thomas F, Fukai, Tomoki
Publikováno v:
International Conference on Learning Representations 2023
Hopfield networks are artificial neural networks which store memory patterns on the states of their neurons by choosing recurrent connection weights and update rules such that the energy landscape of the network forms attractors around the memories.
Externí odkaz:
http://arxiv.org/abs/2305.05179
Autor:
Burns, Thomas F, Irwansyah
Artificial and biological neural networks (ANNs and BNNs) can encode inputs in the form of combinations of individual neurons' activities. These combinatorial neural codes present a computational challenge for direct and efficient analysis due to the
Externí odkaz:
http://arxiv.org/abs/2210.10492
Autor:
Burns, Thomas F, Tang, Robert
Gridworlds have been long-utilised in AI research, particularly in reinforcement learning, as they provide simple yet scalable models for many real-world applications such as robot navigation, emergent behaviour, and operations research. We initiate
Externí odkaz:
http://arxiv.org/abs/2201.06274
Autor:
Bellitto, Christopher M.
Publikováno v:
The Catholic Historical Review, 1998 Oct 01. 84(4), 760-761.
Externí odkaz:
https://www.jstor.org/stable/25025374
Autor:
Nighman, Chris
Publikováno v:
The Sixteenth Century Journal, 2001 Jul 01. 32(2), 487-488.
Externí odkaz:
https://www.jstor.org/stable/2671766