Julian Büchel

28 papers A* 1C 4Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	A framework for analog-digital mixed-precision neural network training and inference. ISCAS Athanasios Vasilopoulos, Emma Boulharts, Corey Lammie, Julian Büchel, Hadjer Benmeziane, Manuel Le Gallo, Abu Sebastian
2025	—	`conf`	Analog AI Accelerators for Transformer-based Language Models: Hardware, Workload, and Power Performance. IMW H. Tsai, Hadjer Benmeziane, Irem Boybat, Julian Büchel, Pritish Narayanan, Manuel Le Gallo, S. Jain, Athanasios Vasilopoulos, W. Simon, Kohji Hosokawa, M. Ishii, Yasuteru Kohda, A. Chen, Charles Mackin, Kaoutar El Maghraoui, Atsuya Okazaki, Alexander M. Friz, Jose Luquin, Abu Sebastian, V. Narayanan, Geoffrey W. Burr
2025	J	`jnl`	Analog Foundation Models. CoRR Julian Büchel, Iason Chalas, Giovanni Acampa, An Chen, Omobayode Fagbohungbe, Sidney Tsai, Kaoutar El Maghraoui, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2025	—	`conf`	Analog-AI Hardware Accelerators for Low-Latency Transformer-Based Language Models (Invited). CICC Geoffrey W. Burr, H. Tsai, Irem Boybat, William Andrew Simon, Julian Büchel, Athanasios Vasilopoulos, Pritish Narayanan, Andrea Fasoli, Kohji Hosokawa, Manuel Le Gallo, M. Ishii, Yasuteru Kohda, Atsuya Okazaki, A. Chen, Charles Mackin, Elena Ferro, Kaoutar El Maghraoui, Hadjer Benmeziane, T. Philicelli, Corey Lammie, Alexander M. Friz, Jose Luquin, S. Jain, Abu Sebastian, V. Narayanan
2025	J	`jnl`	Author Correction: Kernel approximation using analogue in-memory computing. Nat. Mac. Intell. Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2025	J	`jnl`	Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing. Nat. Comput. Sci. Julian Büchel, Athanasios Vasilopoulos, William Andrew Simon, Irem Boybat, Hsinyu Tsai, Geoffrey W. Burr, Hernan Castro, Bill Filipiak, Manuel Le Gallo, Abbas Rahimi, Vijay Narayanan, Abu Sebastian
2025	C	`conf`	Live Demonstration: Automated DNN Deployment on the IBM HERMES Project Chip. ISCAS Corey Lammie, Julian Büchel, Athanasios Vasilopoulos, Giacomo Camposampiero, Lionel Noussi, William Andrew Simon, Manuel Le Gallo, Abu Sebastian
2025	J	`jnl`	Rapid yet accurate Tile-circuit and device modeling for Analog In-Memory Computing. CoRR Jose Luquin, Charles Mackin, Stefano Ambrogio, An Chen, F. Baldi, G. Miralles, Malte J. Rasch, Julian Büchel, M. Lalwani, W. Ponghiran, Paul Solomon, Hsinyu Tsai, Geoffrey W. Burr, Pritish Narayanan
2024	—	`conf`	Analog AI as a Service: A Cloud Platform for In-Memory Computing. SSE 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
2024	C	`conf`	Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. ISCAS Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian
2024	J	`jnl`	Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. CoRR Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian
2024	J	`jnl`	In-Materia Speech Recognition. CoRR Mohamadreza Zolfagharinejad, Julian Büchel, Lorenzo Cassola, Sachin Kinge, Syed Ghazi Sarwat, Abu Sebastian, Wilfred G. van der Wiel
2024	J	`jnl`	Kernel Approximation using Analog In-Memory Computing. CoRR Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2024	J	`jnl`	Kernel approximation using analogue in-memory computing. Nat. Mac. Intell. Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2024	J	`jnl`	The Inherent Adversarial Robustness of Analog In-Memory Computing. CoRR Corey Lammie, Julian Büchel, Athanasios Vasilopoulos, Manuel Le Gallo, Abu Sebastian
2023	J	`jnl`	Gradient descent-based programming of analog in-memory computing cores. CoRR 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
2023	J	`jnl`	Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error. IEEE J. Emerg. Sel. Topics Circuits Syst. Julian Büchel, Athanasios Vasilopoulos, Benedikt Kersting, Corey Lammie, Kevin Brew, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian
2023	J	`jnl`	Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference. CoRR 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
2022	J	`jnl`	A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. CoRR 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
2022	J	`jnl`	ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator. IEEE Micro 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
2022	A*	`conf`	Network Insensitivity to Parameter Noise via Parameter Attack During Training. ICLR Julian Büchel, Fynn Firouz Faber, Dylan Richard Muir
2021	J	`jnl`	Adversarial Attacks on Spiking Convolutional Networks for Event-based Vision. CoRR Julian Büchel, Gregor Lenz, Yalun Hu, Sadique Sheik, Martino Sorbaro
2021	J	`jnl`	AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator. CoRR 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
2021	C	`conf`	Implementing Efficient Balanced Networks with Mixed-Signal Spike-Based Learning Circuits. ISCAS Julian Büchel, Jonathan Kakon, Michel Perez, Giacomo Indiveri
2021	J	`jnl`	Network insensitivity to parameter noise via adversarial regularization. CoRR Julian Büchel, Fynn Faber, Dylan R. Muir
2021	J	`jnl`	Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors. CoRR Julian Büchel, Dmitrii Zendrikov, Sergio M. G. Solinas, Giacomo Indiveri, Dylan R. Muir
2020	J	`jnl`	Implementing efficient balanced networks with mixed-signal spike-based learning circuits. CoRR Julian Büchel, Jonathan Kakon, Michel Perez, Giacomo Indiveri
2018	J	`jnl`	Ladder Networks for Semi-Supervised Hyperspectral Image Classification. CoRR Julian Büchel, Okan K. Ersoy