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Gokmen, Tayfun
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1

Demonstration of transfer learning using 14 nm technology a..:

Athena, Fabia Farlin ; Fagbohungbe, Omobayode ; Gong, Nanbo...
Frontiers in Electronics.  4 (2024)  - p. , 2024
Link: https://doi.org/10.3389/..
 
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2

Solving Sparse Linear Systems via Flexible GMRES with In-Me..:

, In: 2023 IEEE High Performance Extreme Computing Conference (HPEC),
Kalantzis, Vasileios ; Squillante, Mark S. ; Wu, Chai Wah... - p. 1-7 , 2023
Link: https://doi.org/10.1109/..
 
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3

Impact of Asymmetric Weight Update on Neural Network Traini..:

Lee, Chaeun ; Noh, Kyungmi ; Ji, Wonjae..
Frontiers in Neuroscience.  15 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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4

Neural Network Training With Asymmetric Crosspoint Elements:

Onen, Murat ; Gokmen, Tayfun ; Todorov, Teodor K....
Frontiers in Artificial Intelligence.  5 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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5

Neural network learning using non-ideal resistive memory de..:

Kim, Youngseok ; Gokmen, Tayfun ; Miyazoe, Hiroyuki...
Frontiers in Nanotechnology.  4 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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6

Enabling Training of Neural Networks on Noisy Hardware:

Gokmen, Tayfun
Frontiers in Artificial Intelligence.  4 (2021)  - p. , 2021
Link: https://doi.org/10.3389/..
 
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7

Emerging Neural Workloads and Their Impact on Hardware:

, In: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE),
Brooks, David ; Frank, Martin M. ; Gokmen, Tayfun... - p. 1462-1471 , 2020
Link: https://doi.org/10.23919..
 
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8

Algorithm for Training Neural Networks on Resistive Device ..:

Gokmen, Tayfun ; Haensch, Wilfried
Frontiers in Neuroscience.  14 (2020)  - p. , 2020
Link: https://doi.org/10.3389/..
 
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9

Emerging neural workloads and their impact on hardware:

, In: Proceedings of the 23rd Conference on Design, Automation and Test in Europe,
Brooks, David ; Frank, Martin M. ; Gokmen, Tayfun... - p. 1462-1471 , 2020
Link: https://dl.acm.org/doi/1..
 
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10

The marriage of training and inference for scaled deep lear..:

, In: 2019 IEEE International Electron Devices Meeting (IEDM),
Gokmen, Tayfun ; Rasch, Malte J. ; Haensch, Wilfried - p. 22.3.1-22.3.4 , 2019
Link: https://doi.org/10.1109/..
 
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11

RAPA-ConvNets: Modified Convolutional Networks for Accelera..:

Rasch, Malte J. ; Gokmen, Tayfun ; Rigotti, Mattia.
Frontiers in Neuroscience.  13 (2019)  - p. , 2019
Link: https://doi.org/10.3389/..
 
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12

Metal-oxide based, CMOS-compatible ECRAM for Deep Learning ..:

, In: 2019 IEEE International Electron Devices Meeting (IEDM),
Kim, Seyoung ; Todorov, Teodor ; Onen, Murat... - p. 35.7.1-35.7.4 , 2019
Link: https://doi.org/10.1109/..
 
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13

Training LSTM Networks With Resistive Cross-Point Devices:

Gokmen, Tayfun ; Rasch, Malte J. ; Haensch, Wilfried
Frontiers in Neuroscience.  12 (2018)  - p. , 2018
Link: https://doi.org/10.3389/..
 
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14

Industrial perspectives on earth abundant, multinary thin f..:

Haight, Richard ; Gershon, Talia ; Gunawan, Oki...
Semiconductor Science and Technology.  32 (2017)  3 - p. 033004 , 2017
Link: https://doi.org/10.1088/..
 
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15

Back Contact Engineering for Increased Performance in Keste..:

Antunez, Priscilla D. ; Bishop, Douglas M. ; Lee, Yun Seog...
Advanced Energy Materials.  7 (2017)  15 - p. , 2017
Link: https://doi.org/10.1002/..
 
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