Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
- Hadjer Benmeziane
- Corey Liam Lammie
- et al.
- 2024
- NeurIPS 2024
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234 results for Abu Sebastian
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing
- Aleksandar Terzic
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
- Michael Hersche
- Francesco Di Stefano
- et al.
- 2023
- NeurIPS 2023
AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory Computing
- 2024
- NeurIPS 2024
On the role of noise in factorizers for disentangling distributed representations
- 2024
- NeurIPS 2024
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
- Malte J. Rasch
- Charles Mackin
- et al.
- 2023
- Nature Communications
Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- Ning Li
- Charles Mackin
- et al.
- 2023
- Advanced Materials
A neuro-vector-symbolic architecture for solving Raven’s progressive matrices
- Michael Hersche
- Mustafa Zeqiri
- et al.
- 2023
- Nature Machine Intelligence
Optimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte J. Rasch
- et al.
- 2022
- Nature Communications
Experimental validation of state equations and dynamic route maps for phase change memristive devices
- Francesco Marrone
- Jacopo Secco
- et al.
- 2022
- Scientific Reports