E-LIB Suche - Ergebnisse für: Nasrin, Shamma

1

MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bay..:

Shukla, Priyesh ; Nasrin, Shamma ; Darabi, Nastaran..
IEEE Transactions on Circuits and Systems I: Regular Papers. 70 (2023) 2 - p. 884-896 , 2023

Link: https://doi.org/10.1109/..

2

Memory-Immersed Collaborative Digitization for Area-Efficie..:

, In: 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS),

Nasrin, Shamma ; Hashem, Maeesha Binte ; Darabi, Nastaran... - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

3

ENOS: Energy-Aware Network Operator Search in Deep Neural N..:

Nasrin, Shamma ; Shylendra, Ahish ; Darabi, Nastaran...
IEEE Access. 10 (2022) - p. 81447-81457 , 2022

Link: https://doi.org/10.1109/..

4

Higher order neural processing with input-adaptive dynamic ..:

Rahimifard, Leila ; Shylendra, Ahish ; Nasrin, Shamma...
Frontiers in Electronic Materials. 2 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

5

Reconfigurable MoS2 Memtransistors for Continuous Learning ..:

Yuan, Jiangtan ; Liu, Stephanie E. ; Shylendra, Ahish...
Nano Letters. 21 (2021) 15 - p. 6432-6440 , 2021

Link: https://doi.org/10.1021/..

6

Supported-BinaryNet: Bitcell Array-Based Weight Supports fo..:

, In: 2020 IEEE International Symposium on Circuits and Systems (ISCAS),

Nasrin, Shamma ; Ramakrishna, Srikanth ; Tulabandhula, Theja. - p. 1-5 , 2020

Link: https://doi.org/10.1109/..

7

Mixed-mode Magnetic Tunnel Junction-based Deep Belief Netwo..:

, In: 2019 IEEE 19th International Conference on Nanotechnology (IEEE-NANO),

Nasrin, Shamma ; Drobitch, Justine L. ; Bandyopadhyay, Supriyo. - p. 443-448 , 2019

Link: https://doi.org/10.1109/..

8

Low Power Restricted Boltzmann Machine Using Mixed-Mode Mag..:

Nasrin, Shamma ; Drobitch, Justine L. ; Bandyopadhyay, Supriyo.
IEEE Electron Device Letters. 40 (2019) 2 - p. 345-348 , 2019

Link: https://doi.org/10.1109/..

9

Memory-Immersed Collaborative Digitization for Area-Efficie..:

Nasrin, Shamma ; Hashem, Maeesha Binte ; Darabi, Nastaran...
http://arxiv.org/abs/2307.03863. , 2023

Link: http://arxiv.org/abs/230..

10

MF-Net: Compute-In-Memory SRAM for Multibit Precision Infer..:

Nasrin, Shamma ; Badawi, Diaa ; Cetin, Ahmet Enis..
http://arxiv.org/abs/2102.00035. , 2021

Link: http://arxiv.org/abs/210..

11

ENOS: Energy-Aware Network Operator Search for Hybrid Digit..:

Nasrin, Shamma ; Shylendra, Ahish ; Kadakia, Yuti...
http://arxiv.org/abs/2104.05217. , 2021

Link: http://arxiv.org/abs/210..

12

MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bay..:

Shukla, Priyesh ; Nasrin, Shamma ; Darabi, Nastaran..
http://arxiv.org/abs/2111.07125. , 2021

Link: http://arxiv.org/abs/211..

13

Supported-BinaryNet: Bitcell Array-based Weight Supports fo..:

Nasrin, Shamma ; Ramakrishna, Srikanth ; Tulabandhula, Theja.
http://arxiv.org/abs/1911.08518. , 2019

Link: http://arxiv.org/abs/191..

14

ENOS: Energy-Aware Network Operator Search in Deep Neural N..:

Shamma Nasrin ; Ahish Shylendra ; Nastaran Darabi...
https://ieeexplore.ieee.org/document/9833492/. , 2022

Link: https://doi.org/10.1109/..

15

Reconfigurable MoS 2 Memtransistors for Continuous Learning..:

Jiangtan Yuan (1683565) ; Stephanie E. Liu (11160928) ; Ahish Shylendra (11160931)...
https://figshare.com/articles/journal_contribution/Reconfigurable_MoS_sub_2_sub_Memtransistors_for_Continuous_Learning_in_Spiking_Neural_Networks/15025354. , 2021

Link: https://doi.org/10.1021/..