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Malte J. Rasch
123  Ergebnisse:
Personensuche X
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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

Analog Resistive Switching Devices for Training Deep Neural..:

Stecconi, Tommaso ; Bragaglia, Valeria ; Rasch, Malte J....
Nano Letters.  24 (2024)  3 - p. 866-872 , 2024
Link: https://doi.org/10.1021/..
 
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3

Improving the Accuracy of Analog-Based In-Memory Computing ..:

, In: 2024 IEEE International Symposium on Circuits and Systems (ISCAS),
Lammie, Corey ; Vasilopoulos, Athanasios ; Buchel, Julian... - p. 1-5 , 2024
Link: https://doi.org/10.1109/..
 
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4

Hardware-aware training for large-scale and diverse deep le..:

Rasch, Malte J. ; Mackin, Charles ; Le Gallo, Manuel...
Nature Communications.  14 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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5

Optimization of Projected Phase Change Memory for Analog In..:

Li, Ning ; Mackin, Charles ; Chen, An...
Advanced Electronic Materials.  9 (2023)  6 - p. , 2023
Link: https://doi.org/10.1002/..
 
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6

Impact of Phase-Change Memory Drift on Energy Efficiency an..:

, In: 2023 IEEE International Reliability Physics Symposium (IRPS),
Frank, Martin M. ; Li, Ning ; Rasch, Malte J.... - p. 1-10 , 2023
Link: https://doi.org/10.1109/..
 
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7

Architectures and Circuits for Analog-memory-based Hardware..:

, In: 2023 IEEE International Symposium on Circuits and Systems (ISCAS),
Tsai, Hsinyu ; Narayanan, Pritish ; Jain, Shubham... - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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8

Optimization of Projected Phase Change Memory for Analog In..:

Li, Ning ; Mackin, Charles ; Chen, An...
Advanced Electronic Materials.  9 (2023)  6 - p. , 2023
Link: https://doi.org/10.1002/..
 
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9

A 64-core mixed-signal in-memory compute chip based on phas..:

Le Gallo, Manuel ; Khaddam-Aljameh, Riduan ; Stanisavljevic, Milos...
Nature Electronics.  6 (2023)  9 - p. 680-693 , 2023
Link: https://doi.org/10.1038/..
 
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10

AnalogNAS: A Neural Network Design Framework for Accurate I..:

, In: 2023 IEEE International Conference on Edge Computing and Communications (EDGE),
Benmeziane, Hadjer ; Lammie, Corey ; Boybat, Irem... - p. 233-244 , 2023
Link: https://doi.org/10.1109/..
 
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11

Analog-memory-based 14nm Hardware Accelerator for Dense Dee..:

, In: 2022 IEEE International Symposium on Circuits and Systems (ISCAS),
Okazaki, Atsuya ; Narayanan, Pritish ; Ambrogio, Stefano... - p. 3319-3323 , 2022
Link: https://doi.org/10.1109/..
 
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12

Impact of Phase‐Change Memory Flicker Noise and Weight Drif..:

Han, Jin-Ping ; Rasch, Malte J. ; Liu, Zuoguang...
Advanced Intelligent Systems.  4 (2022)  5 - p. , 2022
Link: https://doi.org/10.1002/..
 
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13

Optimised weight programming for analogue memory-based deep..:

Mackin, Charles ; Rasch, Malte J. ; Chen, An...
Nature Communications.  13 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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14

Pattern Training, Inference, and Regeneration Demonstration..:

Shin, Uicheol ; Ishii, Masatoshi ; Okazaki, Atsuya...
Advanced Intelligent Systems.  4 (2022)  8 - p. , 2022
Link: https://doi.org/10.1002/..
 
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15

Toward Software-Equivalent Accuracy on Transformer-Based De..:

Spoon, Katie ; Tsai, Hsinyu ; Chen, An...
Frontiers in Computational Neuroscience.  15 (2021)  - p. , 2021
Link: https://doi.org/10.3389/..
 
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