Analog AI as a Service: A Cloud Platform for In-Memory Computing
- Kaoutar El Maghraoui
- Kim Tran
- et al.
- 2024
- SSE 2024
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13 results for Julian Büchel
In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory Devices
- G.S. Syed
- K. Brew
- et al.
- 2023
- IEDM 2023
Gradient descent-based programming of analog in-memory computing cores
- 2022
- IEDM 2022
NETWORK INSENSITIVITY TO PARAMETER NOISE VIA ADVERSARIAL REGULARIZATION
- Julian Büchel
- Fynn Faber
- et al.
- 2022
- ICLR 2022
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- IEDM 2023
AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory Computing
- 2024
- NeurIPS 2024
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
- Manuel Le Gallo
- Riduan Khaddam-Aljameh
- et al.
- 2023
- Nature Electronics
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training
- 2024
- ISCAS 2024
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- 2023
- APL Mach. Learn.
Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing
- 2023
- IEEE T-ED