Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mittal, Arunesh"'
Autor:
Koorathota, Sharath, Papadopoulos, Nikolas, Ma, Jia Li, Kumar, Shruti, Sun, Xiaoxiao, Mittal, Arunesh, Adelman, Patrick, Sajda, Paul
Modern transformer-based models designed for computer vision have outperformed humans across a spectrum of visual tasks. However, critical tasks, such as medical image interpretation or autonomous driving, still require reliance on human judgments. T
Externí odkaz:
http://arxiv.org/abs/2308.13969
Several approximate inference methods have been proposed for deep discrete latent variable models. However, non-parametric methods which have previously been successfully employed for classical sparse coding models have largely been unexplored in the
Externí odkaz:
http://arxiv.org/abs/2303.08230
Cognition in midlife is an important predictor of age-related mental decline and statistical models that predict cognitive performance can be useful for predicting decline. However, existing models struggle to capture complex relationships between ph
Externí odkaz:
http://arxiv.org/abs/2112.14314
We propose a hierarchical Bayesian recurrent state space model for modeling switching network connectivity in resting state fMRI data. Our model allows us to uncover shared network patterns across disease conditions. We evaluate our method on the ADN
Externí odkaz:
http://arxiv.org/abs/2011.07365
We propose a deep generative factor analysis model with beta process prior that can approximate complex non-factorial distributions over the latent codes. We outline a stochastic EM algorithm for scalable inference in a specific instantiation of this
Externí odkaz:
http://arxiv.org/abs/2011.04770
Autor:
Mittal, Arunesh
In 2023, breakthroughs achieved by large language models like ChatGPT have been transformative, revealing the hidden structures within natural language. This has enabled these models to reason and perform tasks with intelligence previously unattainab
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Yates, Richard L., Esiri, Margaret M., Palace, Jacqueline, Mittal, Arunesh, DeLuca, Gabriele C.
Publikováno v:
Neuropathology & Applied Neurobiology; Apr2015, Vol. 41 Issue 3, p371-384, 14p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.