Julian Büchel

Joined

October 2018

Names

Julian Büchel (Preferred)

Emails

****@student.ethz.ch (Confirmed)

****@zurich.ibm.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

PhD student

Hybrid Cloud, International Business Machines (ibm.com)

2022 – 2025

MS student

Department of Computer Science, Swiss Federal Institute of Technology (ethz.ch)

2020 – 2022

Advisors, Relations & Conflicts

Coworker

Abu Sebastian

2021 – Present

Coworker

Manuel Le Gallo-Bourdeau

2021 – Present

Coworker

Giacomo Indiveri

2019 – 2022

Expertise

Neural Networks

Present

Analog AI

Present

Publications

Analog Foundation Models
Julian Büchel, Iason Chalas, Giovanni Acampa, An Chen, Omobayode Fagbohungbe, Hsinyu Tsai, Kaoutar El Maghraoui, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
- NeurIPS 2025 poster
- Readers: Everyone
Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing
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
- Nat. Comput. Sci. 2025
- Readers: Everyone
AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory Computing
Julian Büchel, William Andrew Simon, Corey Lammie, Giovanni Acampa, Kaoutar El Maghraoui, Manuel Le Gallo, Abu Sebastian
- MLNCP Poster
- Readers: Everyone
The Inherent Adversarial Robustness of Analog In-Memory Computing
Corey Lammie, Julian Büchel, Athanasios Vasilopoulos, Manuel Le Gallo, Abu Sebastian
- CoRR 2024
- Readers: Everyone
Kernel approximation using analogue in-memory computing
Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
- Nat. Mac. Intell. 2024
- Readers: Everyone
Analog AI as a Service: A Cloud Platform for In-Memory Computing
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
- SSE 2024
- Readers: Everyone
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training
Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian
- ISCAS 2024
- Readers: Everyone
In-Materia Speech Recognition
Mohamadreza Zolfagharinejad, Julian Büchel, Lorenzo Cassola, Sachin Kinge, Syed Ghazi Sarwat, Abu Sebastian, Wilfred G. van der Wiel
- CoRR 2024
- Readers: Everyone
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error
Julian Büchel, Athanasios Vasilopoulos, Benedikt Kersting, Corey Lammie, Kevin Brew, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian
- IEEE J. Emerg. Sel. Topics Circuits Syst. 2023
- Readers: Everyone
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
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
- CoRR 2023
- Readers: Everyone

View all 19 publications

Co-Authors

View all 78 co-authors