Publication

A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

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

A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication

Graph Chatbot

Chattez avec Graph Search

Randomized low-rank approximation and its applications

COMMUNICATION LOWER BOUNDS AND OPTIMAL ALGORITHMS FOR MULTIPLE TENSOR-TIMES-MATRIX COMPUTATION

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Deep Learning Theory Through the Lens of Diagonal Linear Networks

X-Attack 2.0: The Risk of Power Wasters and Satisfiability Don’t-Care Hardware Trojans to Shared Cloud FPGAs

Graph generative deep learning models with an application to circuit topologies

Overflow-free compute memories for edge AI acceleration

Post-Moore's Law Fusion: High-Bandwidth Memory, Accelerators, and Native Half-Precision Processing for CPU-Local Analytics

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

How to Achieve Large-Area Ultra-Fast Operation of MoS 2 Monolayer Flash Memories?

COMMUNICATION LOWER BOUNDS AND OPTIMAL ALGORITHMS FOR MULTIPLE TENSOR-TIMES-MATRIX COMPUTATION

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

X-Attack 2.0: The Risk of Power Wasters and Satisfiability Don’t-Care Hardware Trojans to Shared Cloud FPGAs

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Randomized low-rank approximation and its applications

Graph generative deep learning models with an application to circuit topologies

Overflow-free compute memories for edge AI acceleration

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Post-Moore's Law Fusion: High-Bandwidth Memory, Accelerators, and Native Half-Precision Processing for CPU-Local Analytics

How to Achieve Large-Area Ultra-Fast Operation of MoS 2 Monolayer Flash Memories?