Zobrazeno 1 - 10
of 89 949
pro vyhledávání: '"Laurence, P"'
Autor:
He, Zihong, Lin, Weizhe, Zheng, Hao, Zhang, Fan, Jones, Matt, Aitchison, Laurence, Xu, Xuhai, Liu, Miao, Kristensson, Per Ola, Shen, Junxiao
With the rapid advancement of AI systems, their abilities to store, retrieve, and utilize information over the long term - referred to as long-term memory - have become increasingly significant. These capabilities are crucial for enhancing the perfor
Externí odkaz:
http://arxiv.org/abs/2411.00489
Autor:
Boxer, Laurence
We continue a discussion of published assertions that are incorrect, incorrectly proven, or trivial, in the theory of fixed points in digital topology.
Externí odkaz:
http://arxiv.org/abs/2410.23459
Autor:
Legin, Ronan, Isi, Maximiliano, Wong, Kaze W. K., Hezaveh, Yashar, Perreault-Levasseur, Laurence
Gravitational-wave (GW) parameter estimation typically assumes that instrumental noise is Gaussian and stationary. Obvious departures from this idealization are typically handled on a case-by-case basis, e.g., through bespoke procedures to ``clean''
Externí odkaz:
http://arxiv.org/abs/2410.19956
The vector electric-field Helmholtz equation, containing cross-polarization terms, is factored to produce both pseudo-differential and exponential operator forms of a three-dimensional, one-way, vector, wave equation for propagation through inhomogen
Externí odkaz:
http://arxiv.org/abs/2410.17446
Autor:
Liang, Laurence
Recent advances show that large language models (LLMs) generalize strong performance across different natural language benchmarks. However, the large size of LLMs makes training and inference expensive and impractical to run in resource-limited setti
Externí odkaz:
http://arxiv.org/abs/2410.15570
Autor:
Ponomarenko, L. A., Principi, Alessandro, Niblett, A. D., Wang, Wendong, Gorbachev, R. V., Kumaravadive, Piranavan, Berdyugin, A. I., Ermakov, A. V., Slizovskiy, Sergey, Watanabe, Kenji, Taniguchi, Takashi, Ge, Qi, Fal'ko, V. I., Eaves, Laurence, Greenaway, M. T., Geim, A. K.
Coulomb drag between adjacent electron and hole gases has attracted considerable attention, being studied in various two-dimensional systems, including semiconductor and graphene heterostructures. Here we report measurements of electron-hole drag in
Externí odkaz:
http://arxiv.org/abs/2410.10640
Autor:
Li, Zhe, Yuan, Weihao, He, Yisheng, Qiu, Lingteng, Zhu, Shenhao, Gu, Xiaodong, Shen, Weichao, Dong, Yuan, Dong, Zilong, Yang, Laurence T.
Language plays a vital role in the realm of human motion. Existing methods have largely depended on CLIP text embeddings for motion generation, yet they fall short in effectively aligning language and motion due to CLIP's pretraining on static image-
Externí odkaz:
http://arxiv.org/abs/2410.07093
Recent work developed convolutional deep kernel machines, achieving 92.7% test accuracy on CIFAR-10 using a ResNet-inspired architecture, which is SOTA for kernel methods. However, this still lags behind neural networks, which easily achieve over 94%
Externí odkaz:
http://arxiv.org/abs/2410.06171
Autor:
Cheung, Matt Y., Netherton, Tucker J., Court, Laurence E., Veeraraghavan, Ashok, Balakrishnan, Guha
Uncertainty quantification is crucial to account for the imperfect predictions of machine learning algorithms for high-impact applications. Conformal prediction (CP) is a powerful framework for uncertainty quantification that generates calibrated pre
Externí odkaz:
http://arxiv.org/abs/2410.05263
Autor:
Quintana, Gonzalo Iñaki, Vancamberg, Laurence, Jugnon, Vincent, Mougeot, Mathilde, Desolneux, Agnès
Federated Learning (FL) is gaining traction as a learning paradigm for training Machine Learning (ML) models in a decentralized way. Batch Normalization (BN) is ubiquitous in Deep Neural Networks (DNN), as it improves convergence and generalization.
Externí odkaz:
http://arxiv.org/abs/2410.03281