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ORCIDMohamed Elsayed 0003
Person information
- affiliation: University of Alberta, Department of Computing Science, Edmonton, AB, Canada
- affiliation: Alberta Machine Intelligence Institute (Amii), Edmonton, AB, Canada
Other persons with the same name
- Mohamed Elsayed (aka: Mohamed ElSayed, Mohamed El-Sayed) — disambiguation page
- Mohamed Elsayed 0001
![[0000-0001-5963-6001]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5963-6001")
— Benha University, Faculty of Engineering, Banha, Egypt - Mohamed Elsayed 0002 — Memorial University of Newfoundland, Faculty of Engineering and Applied Science, St. John's, NL, Canada (and 1 more)
- Mohamed Elsayed 0004 (aka: Mohamed Sabry Abd Elraheam Elsayed) — British University in Egypt, Department of Computer Science, Cairo, Egypt
- Mohamed El-Sayed 0005 (aka: Mohamed Elsayed 0005) — Alexandria University, Egypt
- Mohamed ElSayed 0006 (aka: Mohamed Elsayed 0006) — Nile University, Center for Informatics Science, Cairo, Egypt
- Mohamed El-Sayed 0007 (aka: Mohamed Elsayed 0007) — Alcatel-Lucent Bell Labs, Murray Hill, NJ, USA (and 1 more)
- Mohamed Elsayed 0008 — University of Toronto, ON, Canada
- Mohamed Elsayed 0009 — Huawei Technologies, Noah's Ark Lab
- Mohamed Elsayed 0010 — Qatar University, Department of Electrical Engineering, Doha, Qatar
- Mohamed El-Sayed 0011 (aka: Mohamed Elsayed 0011) — Egypt-Japan University of Science and Technology (E-JUST), Department of Electronics and Communications, Alexandria, Egypt (and 2 more)
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2020 – today
- 2024
[j1]Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood:
Weight Clipping for Deep Continual and Reinforcement Learning. RLJ 5: 2198-2217 (2024)- [c3]Mohamed Elsayed, A. Rupam Mahmood:
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning. ICLR 2024 - [c2]Mohamed Elsayed, Homayoon Farrahi, Felix Dangel, A. Rupam Mahmood:
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning. ICML 2024 - [c1]Gautham Vasan, Mohamed Elsayed, Seyed Alireza Azimi, Jiamin He, Fahim Shahriar, Colin Bellinger, Martha White, Rupam Mahmood:
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers. NeurIPS 2024 - [i7]Mohamed Elsayed, A. Rupam Mahmood:
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning. CoRR abs/2404.00781 (2024) - [i6]Mohamed Elsayed, Homayoon Farrahi, Felix Dangel, A. Rupam Mahmood:
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning. CoRR abs/2406.03276 (2024) - [i5]Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood:
Weight Clipping for Deep Continual and Reinforcement Learning. CoRR abs/2407.01704 (2024) - [i4]Mohamed Elsayed, Gautham Vasan, A. Rupam Mahmood:
Streaming Deep Reinforcement Learning Finally Works. CoRR abs/2410.14606 (2024) - [i3]Gautham Vasan, Mohamed Elsayed, Alireza Azimi, Jiamin He, Fahim Shahriar, Colin Bellinger, Martha White, A. Rupam Mahmood:
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers. CoRR abs/2411.15370 (2024) - 2023
- [i2]Mohamed Elsayed, A. Rupam Mahmood:
Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning. CoRR abs/2302.03281 (2023) - 2022
- [i1]Mohamed Elsayed, A. Rupam Mahmood:
HesScale: Scalable Computation of Hessian Diagonals. CoRR abs/2210.11639 (2022)
Coauthor Index
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