Mohammadreza Armandpour 个人学术档案

引用次数

	总计	2019 年至今
引用	612	612
h 指数	8	8
i10 指数	8	8

240

120

180

2019202020212022202320246 24 61 126 236 158

开放获取的出版物数量

查看全部

3 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Mingyuan ZhouAssociate Professor, University of Texas at Austin在 mccombs.utexas.edu 的电子邮件经过验证
Huangjie ZhengUniversity of Texas at Austin在 utexas.edu 的电子邮件经过验证
Xia "Ben" HuAssociate Professor of Computer Science, Rice University在 rice.edu 的电子邮件经过验证
Oncel TuzelApple在 apple.com 的电子邮件经过验证
Ashish ShrivastavaApple Inc, University of Maryland College Park在 umiacs.umd.edu 的电子邮件经过验证
Jen-Hao Rick ChangApple在 apple.com 的电子邮件经过验证
Ting-Yao HuMachine Learning Research, Apple在 apple.com 的电子邮件经过验证
Hema Swetha KoppulaResearch Scientist, Skydio在 cs.cornell.edu 的电子邮件经过验证
Chunyuan LiMicrosoft Research, Redmond在 microsoft.com 的电子邮件经过验证
Yu DuEli Lilly and Company在 lilly.com 的电子邮件经过验证
Renat SergazinovPhD Statistics, Texas A&M University在 tamu.edu 的电子邮件经过验证
Nick DuffieldDirector, Texas A&M Institute of Data Science; Royce E. Wisenbaker Professorship I in ECE在 ece.tamu.edu 的电子邮件经过验证
Arman HasanzadehSoftware Engineer, Google在 google.com 的电子邮件经过验证

关注

Mohammadreza Armandpour

Sr ML Scientist at Apple

在 apple.com 的电子邮件经过验证 - 首页

Deep Learning Generative Modeling Statistics Diffusion Models


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs M Armandpour, A Sadeghian, P Ding, DZ Wang Advances in Neural Information Processing Systems (NeurIPS2019), 2019	295*	2019
ChronoR: Rotation Based Temporal Knowledge Graph Embedding M Armandpour, A Sadeghian, A Colas, DZ Wang AAAI 2021, 2021	96*	2021
Re-imagine the negative prompt algorithm: Transform 2d diffusion into 3d, alleviate janus problem and beyond M Armandpour, A Sadeghian, H Zheng, A Sadeghian, M Zhou arXiv preprint arXiv:2304.04968, 2023	68	2023
Robust Negative Sampling for Network Embedding M Armandpour, P Ding, J Huang, X Hu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3191-3198, 2019	49	2019
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition TY Hu, M Armandpour, A Shrivastava, JHR Chang, H Koppula, O Tuzel ICASSP 2022, 2021	32	2021
Deep Spatio-Temporal Wind Power Forecasting J Li, M Armandpour ICASSP 2022, 2021	23	2021
Partition-Guided GANs M Armandpour, A Sadeghian, C Li, M Zhou CVPR 2021, 2021	21	2021
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks M Armandpour, B Kidd, Y Du, JZ Huang IJCNN 2021, 2021	17	2021
Gluformer: Transformer-based Personalized glucose Forecasting with uncertainty quantification R Sergazinov, M Armandpour, I Gaynanova ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023	5	2023
Convex Polytope Trees M Armandpour, A Sadeghian, M Zhou NeurIPS 2021, 2021	4	2021
Bayesian graph contrastive learning A Hasanzadeh, M Armandpour, E Hajiramezanali, M Zhou, N Duffield, ... arXiv preprint arXiv:2112.07823, 2021	2	2021
Re-imagine the Negative Prompt Algorithm for 2D/3D Diffusion M Armandpour, A Sadeghian, H Zheng, A Sadeghian, M Zhou		2023
Deep Generative Models: Pitfalls and Fixes M Armandpour Texas A&M University, 2022		2022
Convex Polytope Trees M Armandpour, M Zhou arXiv preprint arXiv:2010.11266, 2020		2020
Supplementary Material of Robust Negative Sampling for Network Embedding M Armandpour, P Ding, J Huang, X Hu

系统目前无法执行此操作，请稍后再试。

文章 1–15

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用