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Buchel, Julian
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1

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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2

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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3

Programming Weights to Analog In-Memory Computing Cores by ..:

Büchel, Julian ; Vasilopoulos, Athanasios ; Kersting, Benedikt...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems.  13 (2023)  4 - p. 1052-1061 , 2023
Link: https://doi.org/10.1109/..
 
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4

Exploiting the State Dependency of Conductance Variations i..:

Vasilopoulos, Athanasios ; Büchel, Julian ; Kersting, Benedikt...
IEEE Transactions on Electron Devices.  70 (2023)  12 - p. 6279-6285 , 2023
Link: https://doi.org/10.1109/..
 
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5

Adversarial attacks on spiking convolutional neural network..:

Büchel, Julian ; Lenz, Gregor ; Hu, Yalun..
Frontiers in Neuroscience.  16 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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6

ML-HW Co-Design of Noise-Robust TinyML Models and Always-On..:

Zhou, Chuteng ; Redondo, Fernando Garcia ; Buchel, Julian...
IEEE Micro.  42 (2022)  6 - p. 76-87 , 2022
Link: https://doi.org/10.1109/..
 
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7

Supervised training of spiking neural networks for robust d..:

Büchel, Julian ; Zendrikov, Dmitrii ; Solinas, Sergio..
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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8

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

Lammie, Corey ; Vasilopoulos, Athanasios ; Büchel, Julian...
http://arxiv.org/abs/2401.09859.  , 2024
Link: http://arxiv.org/abs/240..
 
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9

Gradient descent-based programming of analog in-memory comp..:

Büchel, Julian ; Vasilopoulos, Athanasios ; Kersting, Benedikt...
http://arxiv.org/abs/2305.16647.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Adversarial attacks on spiking convolutional neural network..:

Büchel, Julian ; Lenz, Gregor ; Hu, Yalun...
info:eu-repo/semantics/altIdentifier/doi/10.3389/fnins.2022.1068193.  , 2022
Link: https://hdl.handle.net/2..
 
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11

Adversarial attacks on spiking convolutional neural network..:

Büchel, Julian ; Lenz, Gregor ; Hu, Yalun..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831110/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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12

Network insensitivity to parameter noise via adversarial re..:

Büchel, Julian ; Faber, Fynn ; Muir, Dylan R
http://arxiv.org/abs/2106.05009.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

Supervised training of spiking neural networks for robust d..:

Büchel, Julian ; Zendrikov, Dmitrii ; Solinas, Sergio..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642544/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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14

Supervised training of spiking neural networks for robust d..:

Büchel, Julian ; Zendrikov, Dmitrii ; Solinas, Sergio..
http://arxiv.org/abs/2102.06408.  , 2021
Link: http://arxiv.org/abs/210..
 
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15

Supervised training of spiking neural networks for robust d..:

Büchel, Julian ; Zendrikov, Dmitrii ; Solinas, Sergio...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-02779-x.  , 2021
Link: https://hdl.handle.net/2..
 
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