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2020 – today
- 2024
[c4]Kaoutar El Maghraoui, Kim Tran, Kurtis Ruby, Borja Godoy, Jordan Murray, Manuel Le Gallo-Bourdeau, Todd Deshane, Pablo Gonzalez, Diego Moreda, Hadjer Benmeziane, Corey Liam Lammie, Julian Büchel, Malte J. Rasch, Abu Sebastian, Vijay Narayanan:
Analog AI as a Service: A Cloud Platform for In-Memory Computing. SSE 2024: 43-53- [c3]Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian:
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. ISCAS 2024: 1-5 - [i11]Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian:
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. CoRR abs/2401.09859 (2024) - [i10]Mohamadreza Zolfagharinejad, Julian Büchel, Lorenzo Cassola, Sachin Kinge, Syed Ghazi Sarwat, Abu Sebastian, Wilfred G. van der Wiel:
In-Materia Speech Recognition. CoRR abs/2410.10434 (2024) - 2023
- [j2]Julian Büchel
, Athanasios Vasilopoulos, Benedikt Kersting, Corey Lammie, Kevin Brew, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian:
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1052-1061 (2023) - [i9]Julian Büchel, Athanasios Vasilopoulos, Benedikt Kersting, Frédéric Odermatt, Kevin Brew, Injo Ok, Samuel Choi, Iqbal Saraf, Victor Chan, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian:
Gradient descent-based programming of analog in-memory computing cores. CoRR abs/2305.16647 (2023) - [i8]Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch:
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference. CoRR abs/2307.09357 (2023) - 2022
- [j1]Chuteng Zhou, Fernando García-Redondo, Julian Büchel, Irem Boybat, Xavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian, Manuel Le Gallo, Paul N. Whatmough:
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator. IEEE Micro 42(6): 76-87 (2022) - [c2]Julian Büchel, Fynn Firouz Faber, Dylan Richard Muir:
Network Insensitivity to Parameter Noise via Parameter Attack During Training. ICLR 2022 - [i7]Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic, Athanasios Vasilopoulos, Benedikt Kersting, Martino Dazzi, Geethan Karunaratne, Matthias Braendli, Abhairaj Singh, Silvia M. Mueller, Julian Büchel, Xavier Timoneda Comas, Vinay Joshi, Urs Egger, Angelo Garofalo, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre, Ishtiaq Ahsan, Nicole Saulnier, Vijay Narayanan, Pier Andrea Francese, Evangelos Eleftheriou, Abu Sebastian:
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. CoRR abs/2212.02872 (2022) - 2021
- [c1]Julian Büchel, Jonathan Kakon, Michel Perez, Giacomo Indiveri:
Implementing Efficient Balanced Networks with Mixed-Signal Spike-Based Learning Circuits. ISCAS 2021: 1-5 - [i6]Julian Büchel, Dmitrii Zendrikov, Sergio M. G. Solinas, Giacomo Indiveri, Dylan R. Muir:
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors. CoRR abs/2102.06408 (2021) - [i5]Julian Büchel, Fynn Faber, Dylan R. Muir:
Network insensitivity to parameter noise via adversarial regularization. CoRR abs/2106.05009 (2021) - [i4]Julian Büchel, Gregor Lenz, Yalun Hu, Sadique Sheik, Martino Sorbaro:
Adversarial Attacks on Spiking Convolutional Networks for Event-based Vision. CoRR abs/2110.02929 (2021) - [i3]Chuteng Zhou, Fernando García-Redondo, Julian Büchel, Irem Boybat, Xavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian, Manuel Le Gallo, Paul N. Whatmough:
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator. CoRR abs/2111.06503 (2021) - 2020
- [i2]Julian Büchel, Jonathan Kakon, Michel Perez, Giacomo Indiveri:
Implementing efficient balanced networks with mixed-signal spike-based learning circuits. CoRR abs/2010.14353 (2020)
2010 – 2019
- 2018
- [i1]Julian Büchel, Okan K. Ersoy:
Ladder Networks for Semi-Supervised Hyperspectral Image Classification. CoRR abs/1812.01222 (2018)
Coauthor Index
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last updated on 2024-12-01 00:16 CET by the dblp team
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