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pro vyhledávání: '"Fishman, Nic"'
Fairness metrics are a core tool in the fair machine learning literature (FairML), used to determine that ML models are, in some sense, "fair". Real-world data, however, are typically plagued by various measurement biases and other violated assumptio
Externí odkaz:
http://arxiv.org/abs/2410.09600
Denoising diffusion models have recently emerged as the predominant paradigm for generative modelling on image domains. In addition, their extension to Riemannian manifolds has facilitated a range of applications across the natural sciences. While ma
Externí odkaz:
http://arxiv.org/abs/2307.05439
Denoising diffusion models are a novel class of generative algorithms that achieve state-of-the-art performance across a range of domains, including image generation and text-to-image tasks. Building on this success, diffusion models have recently be
Externí odkaz:
http://arxiv.org/abs/2304.05364
Autor:
Nilforoshan, Hamed, Looi, Wenli, Pierson, Emma, Villanueva, Blanca, Fishman, Nic, Chen, Yiling, Sholar, John, Redbird, Beth, Grusky, David, Leskovec, Jure
A long-standing expectation is that large, dense, and cosmopolitan areas support socioeconomic mixing and exposure between diverse individuals. It has been difficult to assess this hypothesis because past approaches to measuring socioeconomic mixing
Externí odkaz:
http://arxiv.org/abs/2210.07414
Autor:
Fishman, Nic, Hancox-Li, Leif
"Attention is all you need" has become a fundamental precept in machine learning research. Originally designed for machine translation, transformers and the attention mechanisms that underpin them now find success across many problem domains. With th
Externí odkaz:
http://arxiv.org/abs/2205.08377
Autor:
Fishman, Nic, Davis, Nicholas T.
Publikováno v:
American Journal of Political Science, 2022 Jul 01. 66(3), 648-663.
Externí odkaz:
https://www.jstor.org/stable/45474558
Akademický článek
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Autor:
Nilforoshan, Hamed, Looi, Wenli, Pierson, Emma, Villanueva, Blanca, Fishman, Nic, Chen, Yiling, Sholar, John, Redbird, Beth, Grusky, David, Leskovec, Jure
A long-standing expectation is that large, dense, and cosmopolitan areas will support diverse interactions and socioeconomic mixing. It has been difficult to assess this hypothesis because past approaches to measuring socioeconomic mixing have relied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::089ef0225b1a98f08c6ccfaee48bcd77
http://arxiv.org/abs/2210.07414
http://arxiv.org/abs/2210.07414