Amr Kayid

20182019202020212022202320243 1 3 13 23 16 8

Harshvardhan D. SikkaResearch Scientist & Faculty @ Georgia Tech | Head of Manifold Research GroupVerified email at gatech.edu
Atharva A. TendleBloomberg L.P.Verified email at bloomberg.net
Julia KreutzerResearch Scientist at Cohere For AIVerified email at cohere.com
Phil BlunsomCohere & Oxford UniversityVerified email at cs.ox.ac.uk
Sara HookerHead of Cohere For AIVerified email at cohere.com
Daniel D'souzaSenior Data ScientistVerified email at umich.edu
Wei-Yin KoML EngineerVerified email at alumni.upenn.edu
Marzieh FadaeeSenior Research Scientist, Cohere For AIVerified email at cohere.com
Zheng-Xin YongBrown UniversityVerified email at brown.edu
Shayne LongpreMIT, Stanford, AppleVerified email at cs.stanford.edu
Niklas MuennighoffPeking UniversityVerified email at stu.pku.edu.cn
Ahmet UstunCohere For AIVerified email at cohere.com
Viraat AryabumiCohereVerified email at cohere.com
Gbemileke OniludeGraduate Research Assistant, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Neel BhandariR.V. College of EngineeringVerified email at rvce.edu.in
Ayush Manish AgrawalMicrosoftVerified email at microsoft.com
Sahib SinghQualifactsVerified email at alumni.cmu.edu

Amr Kayid

Verified email at tum.de - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Performance of cpus/gpus for deep learning workloads A Kayid, Y Khaled, M Elmahdy The German University in Cairo, 2018	30*	2018
The role of Artificial Intelligence in future technology A Kayid Department of Computer Science, The German University in Cairo, 2020	23	2020
Aya model: An instruction finetuned open-access multilingual language model A Üstün, V Aryabumi, ZX Yong, WY Ko, D D'souza, G Onilude, N Bhandari, ... arXiv preprint arXiv:2402.07827, 2024	8	2024
Explaining what learned models predict: In which cases can we trust machine learning models and when is caution required? A Kayid	4	2020
Multimodal modular meta-learning H Sikka, A Tendle, A Kayid OSF, 2020	3	2020
Investigating learning in deep neural networks using layer-wise weight change AM Agrawal, A Tendle, H Sikka, S Singh, A Kayid Intelligent Computing: Proceedings of the 2021 Computing Conference, Volume …, 2021	2	2021
Distributed Deep Reinforcement Learning for Large Scale Robotic Simulations A Kayid Technical University of Munich, 2019		2019

The system can't perform the operation now. Try again later.

Articles 1–7

Citations per year