Julian Büchel

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Transformation Matrix

Memory Subsystem

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

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)
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 (2024)
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) (2023)
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 (2023)
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 (2023)
Julian Büchel, Fynn Firouz Faber, Dylan Richard Muir
Network Insensitivity to Parameter Noise via Parameter Attack During Training. ICLR (2022)
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 (2022)
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) (2022)
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 (2021)
Julian Büchel, Gregor Lenz, Yalun Hu, Sadique Sheik, Martino Sorbaro
Adversarial Attacks on Spiking Convolutional Networks for Event-based Vision. CoRR (2021)
Julian Büchel, Dmitrii Zendrikov, Sergio Solinas, Giacomo Indiveri, Dylan R. Muir
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors. CoRR (2021)
Julian Büchel, Jonathan Kakon, Michel Perez, Giacomo Indiveri
Implementing Efficient Balanced Networks with Mixed-Signal Spike-Based Learning Circuits. ISCAS (2021)
Julian Büchel, Fynn Faber, Dylan R. Muir
Network insensitivity to parameter noise via adversarial regularization. CoRR (2021)
Julian Büchel, Jonathan Kakon, Michel Perez, Giacomo Indiveri
Implementing efficient balanced networks with mixed-signal spike-based learning circuits. CoRR (2020)
Julian Büchel, Okan K. Ersoy
Ladder Networks for Semi-Supervised Hyperspectral Image Classification. CoRR (2018)