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Learning From Heterogeneous Data Based on Social Interactions Over Graphs

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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

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Graph Chatbot

Chattez avec Graph Search

Random matrix methods for high-dimensional machine learning models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Involvement of prelimbic cortex neurons and related circuits in the acquisition of a cooperative learning by pairs of rats

Reducing Annotation Efforts in Electricity Theft Detection Through Optimal Sample Selection

Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes

Generative AI-Enabled Conversational Interaction to Support Self-Directed Learning Experiences in Transversal Computational Thinking

Stochastic pairwise preference convergence in Bayesian agents

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

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Extensions of Peer Prediction Incentive Mechanisms

Random matrix methods for high-dimensional machine learning models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Involvement of prelimbic cortex neurons and related circuits in the acquisition of a cooperative learning by pairs of rats

Reducing Annotation Efforts in Electricity Theft Detection Through Optimal Sample Selection

Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes

Generative AI-Enabled Conversational Interaction to Support Self-Directed Learning Experiences in Transversal Computational Thinking

Stochastic pairwise preference convergence in Bayesian agents

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

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Extensions of Peer Prediction Incentive Mechanisms