Beyond von–Neumann Computing—Engineering Artificial Synapses for In–Memory Computing
- Valeria Bragaglia
- Benedikt Kersting
- et al.
- 2020
- MRS Spring/Fall Meeting 2020
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241 results for Abu Sebastian
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
- 2024
- NeurIPS 2024
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 implementation of memristor-based artificial neural networks
- Fernando Aguirre
- Abu Sebastian
- et al.
- 2024
- Nature Communications
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