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Two-stage online inference model for traffic pattern analysis and anomaly detection

Publications associées (32)

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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

Two-stage online inference model for traffic pattern analysis and anomaly detection

Graph Chatbot

Chattez avec Graph Search

Graph generative deep learning models with an application to circuit topologies

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Residual-based attention in physics-informed neural networks

Understanding generalization and robustness in modern deep learning

A WIM-Based Assessment of Multiple Vehicle Presence Effects on Fatigue Damage of Highway Bridges

Driving and suppressing the human language network using large language models

On the Generalization of Stochastic Gradient Descent with Momentum

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Modeling Mode-Dependent Lane Discipline in Hybrid Traffic

Graph generative deep learning models with an application to circuit topologies

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Residual-based attention in physics-informed neural networks

Understanding generalization and robustness in modern deep learning

A WIM-Based Assessment of Multiple Vehicle Presence Effects on Fatigue Damage of Highway Bridges

Driving and suppressing the human language network using large language models

Generalization of Scaled Deep ResNets in the Mean-Field Regime

On the Generalization of Stochastic Gradient Descent with Momentum

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Modeling Mode-Dependent Lane Discipline in Hybrid Traffic