Zobrazeno 1 - 10
of 17 128
pro vyhledávání: '"Smith, James A"'
Autor:
Laustsen, Niels Jakob, Smith, James
We study the lattice of closed ideals of bounded operators on two families of Banach spaces: the Baernstein spaces $B_p$ for $1
Externí odkaz:
http://arxiv.org/abs/2410.12666
Sparse Autoencoders (SAEs) have emerged as a promising approach to decompose the activations of Large Language Models (LLMs) into human-interpretable latents. In this paper, we pose two questions. First, to what extent do SAEs extract monosemantic an
Externí odkaz:
http://arxiv.org/abs/2409.14507
Autor:
Candelori, Luca, Abanov, Alexander G., Berger, Jeffrey, Hogan, Cameron J., Kirakosyan, Vahagn, Musaelian, Kharen, Samson, Ryan, Smith, James E. T., Villani, Dario, Wells, Martin T., Xu, Mengjia
We propose a new data representation method based on Quantum Cognition Machine Learning and apply it to manifold learning, specifically to the estimation of intrinsic dimension of data sets. The idea is to learn a representation of each data point as
Externí odkaz:
http://arxiv.org/abs/2409.12805
Autor:
Lin, Chi-Heng, Gao, Shangqian, Smith, James Seale, Patel, Abhishek, Tuli, Shikhar, Shen, Yilin, Jin, Hongxia, Hsu, Yen-Chang
Large Language Models (LLMs) have reshaped the landscape of artificial intelligence by demonstrating exceptional performance across various tasks. However, substantial computational requirements make their deployment challenging on devices with limit
Externí odkaz:
http://arxiv.org/abs/2408.09632
Autor:
Smith, James Seale, Valkov, Lazar, Halbe, Shaunak, Gutta, Vyshnavi, Feris, Rogerio, Kira, Zsolt, Karlinsky, Leonid
Foundation Models (FMs) have become the hallmark of modern AI, however, these models are trained on massive data, leading to financially expensive training. Updating FMs as new data becomes available is important, however, can lead to `catastrophic f
Externí odkaz:
http://arxiv.org/abs/2404.12526
Autor:
Ramiah, Preetha, Smith, James Q., Bunnin, Oliver, Liverani, Silvia, Addison, Jamie, Whipp, Annabel
Probabilistic Graphical Bayesian models of causation have continued to impact on strategic analyses designed to help evaluate the efficacy of different interventions on systems. However, the standard causal algebras upon which these inferences are ba
Externí odkaz:
http://arxiv.org/abs/2404.03957
Autor:
Smith, James
These notes derive aperiodic monotiles (arXiv:2303.10798) from a set of rhombuses with matching rules. This dual construction is used to simplify the proof of aperiodicity by considering the tiling as a colouring game on a Rhombille tiling. A simple
Externí odkaz:
http://arxiv.org/abs/2403.01911
Autor:
Smith, James E.
An agent employing reinforcement learning takes inputs (state variables) from an environment and performs actions that affect the environment in order to achieve some objective. Rewards (positive or negative) guide the agent toward improved future ac
Externí odkaz:
http://arxiv.org/abs/2402.18472
Autor:
Press, Meggan, Smith, James Henry
Publikováno v:
Reference Services Review, 2024, Vol. 52, Issue 3, pp. 385-396.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RSR-02-2024-0005
