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pro vyhledávání: '"Arous A"'
We study the dynamics of two local optimization algorithms, online stochastic gradient descent (SGD) and gradient flow, within the framework of the multi-spiked tensor model in the high-dimensional regime. This multi-index model arises from the tenso
Externí odkaz:
http://arxiv.org/abs/2408.06401
Scientific peer review is essential for the quality of academic publications. However, the increasing number of paper submissions to conferences has strained the reviewing process. This surge poses a burden on area chairs who have to carefully read a
Externí odkaz:
http://arxiv.org/abs/2406.07359
In this paper, we investigate the following question: Can we obtain adversarially-trained models without training on adversarial examples? Our intuition is that training a model with inherent stochasticity, i.e., optimizing the parameters by minimizi
Externí odkaz:
http://arxiv.org/abs/2312.08877
The potential of using a large language model (LLM) as a knowledge base (KB) has sparked significant interest. To manage the knowledge acquired by LLMs, we need to ensure that the editing of learned facts respects internal logical constraints, which
Externí odkaz:
http://arxiv.org/abs/2312.01858
Autor:
Salim Arous, Ilyas Atlas, Amina Arous, Hatim Zahidi, El Ghali Mohamed Benouna, Rachida Habbal
Publikováno v:
Journal of Medical Case Reports, Vol 18, Iss 1, Pp 1-5 (2024)
Abstract Background Refsum disease is a rare autosomal recessive hereditary disorder of lipid metabolism that results in the accumulation of phytanic acid. This syndrome is characterized with a range of classic symptoms including ataxia, peripheral n
Externí odkaz:
https://doaj.org/article/659e561f4ed645ac9128fcbb8ccae1b1
We rigorously study the joint evolution of training dynamics via stochastic gradient descent (SGD) and the spectra of empirical Hessian and gradient matrices. We prove that in two canonical classification tasks for multi-class high-dimensional mixtur
Externí odkaz:
http://arxiv.org/abs/2310.03010
Publikováno v:
The Egyptian Heart Journal, Vol 76, Iss 1, Pp 1-6 (2024)
Abstract Background Holt–Oram syndrome is a rare genetic disorder caused by a mutation in the TBX5 gene, combining skeletal and cardiac malformations. Vital prognosis depends essentially on cardiac involvement, while skeletal malformations determin
Externí odkaz:
https://doaj.org/article/55ae9808301b426f9964f7ce2b743adc
Autor:
Arous, Salim1 (AUTHOR), Atlas, Ilyas1 (AUTHOR) atlasilyas@gmail.com, Arous, Amina1 (AUTHOR), Zahidi, Hatim1 (AUTHOR), Benouna, El Ghali Mohamed1 (AUTHOR), Habbal, Rachida1 (AUTHOR)
Publikováno v:
Journal of Medical Case Reports. 9/30/2024, Vol. 18 Issue 1, p1-5. 5p.
Machine Learning (ML) architectures have been applied to several applications that involve sensitive data, where a guarantee of users' data privacy is required. Differentially Private Stochastic Gradient Descent (DPSGD) is the state-of-the-art method
Externí odkaz:
http://arxiv.org/abs/2303.01819
Autor:
Ke, Piyu, Deng, Zhu, Zhu, Biqing, Zheng, Bo, Wang, Yilong, Boucher, Olivier, Arous, Simon Ben, Zhou, Chuanlong, Dou, Xinyu, Sun, Taochun, Li, Zhao, Yan, Feifan, Cui, Duo, Hu, Yifan, Huo, Da, Pierre, Jean, Engelen, Richard, Davis, Steven J., Ciais, Philippe, Liu, Zhu
With the urgent need to implement the EU countries pledges and to monitor the effectiveness of Green Deal plan, Monitoring Reporting and Verification tools are needed to track how emissions are changing for all the sectors. Current official inventori
Externí odkaz:
http://arxiv.org/abs/2211.01944