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Accurate deep neural network inference using computational phase-change memory

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Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

Accurate deep neural network inference using computational phase-change memory

Graph Chatbot

Chattez avec Graph Search

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

EdgeAI-Aware Design of In-Memory Computing Architectures

Towards Scalable Electronics: Synthetic 2D Materials for Large-Area 2D Circuit Integration

Magnon-Assisted Magnetization Reversal of Ni81Fe19 Nanostripes on Y3Fe5O12 with Different Interfaces

Secure Interface Design Leveraging Hardware/Software Support

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Predicting the long-term collective behaviour of fish pairs with deep learning

Robust NAS under adversarial training: benchmark, theory, and beyond

Understanding generalization and robustness in modern deep learning

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Towards Scalable Electronics: Synthetic 2D Materials for Large-Area 2D Circuit Integration

Magnon-Assisted Magnetization Reversal of Ni81Fe19 Nanostripes on Y3Fe5O12 with Different Interfaces

Secure Interface Design Leveraging Hardware/Software Support

Robust NAS under adversarial training: benchmark, theory, and beyond

Understanding generalization and robustness in modern deep learning

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

EdgeAI-Aware Design of In-Memory Computing Architectures

Predicting the long-term collective behaviour of fish pairs with deep learning

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE