Inverse Graph Learning from Social Interactions

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

In this thesis, we study how combinatorial structures and symmetries emerge from analytic properties of graph polynomials and neural networks. Graph polynomials encode combinatorial aspects of the underlying graph in their coefficients and are remarkably u ...

Nowadays, incorporating innovative teaching methods that enhance student engagement has become increasingly crucial. In our study, we examine a new pedagogical practice which relies on gamified formative peer assessment and social media to improve student ...

To protect both local gradients and estimated parameters in distributed learning, this paper introduces a masked diffusion (MD) strategy, leading to two algorithms: the MD stochastic gradient (MD-SG) and the MD primal-dual stochastic gradient (MPD-SG). The ...

A first-principles approach for calculating ion separation in solution through two-dimensional (2D) membranes is proposed and applied. Ionic energy profiles across the membrane are obtained first, where solvation effects are simulated explicitly with machi ...

Electrochemical gas sensors (EGSs) have been used to measure the surface distributions and vertical profiles of trace gases in the wintertime Arctic boundary layer during the Alaskan Layered Pollution and Chemical Analysis (ALPACA) field experiment in Fair ...

For high-dimensional Gaussian data, we investigate theoretically how the features of a two-layer neural network adapt to the structure of the target function through a few large batch gradient descent steps, leading to an improvement in the approximation c ...

Social robots are widely used for educational activities, especially to attract children's attention. As a side effect, pupils' excitement can suppress their focus on the tutors and the content being approached. A potential solution to tackle this issue is ...

Electrochemical devices and systems are significant for the development of therapeutic drug monitoring (TDM) and personalized therapy. However, electrochemical sensors are usually not that much selective. Therefore, innovative machine learning (ML) approac ...

the effects of the algorithm from a user's intentions. Here we propose a method that we call "counterfactual bots" to causally estimate the role of algorithmic recommendations on the consumption of highly partisan content on YouTube. By comparing bots that ...

Inferring the source of a diffusion in a large network of agents is a difficult but feasible task, if a few agents act as sensors revealing the time at which they got hit by the diffusion. One of the main limitations of current source identification algori ...

Inverse Graph Learning from Social Interactions

Chat with Graph Search

Combinatorial Aspects of Continuous Optimization: Graph Polynomials and Neural Networks

Enhancing Student Engagement through Social Media-Based Gamification in a UI/UX Design Course

Masked Diffusion Strategy for Privacy-Preserving Distributed Learning

Ion Sieving in Two-Dimensional Membranes from First Principles

Surface distributions and vertical profiles of trace gases (CO, O3, NO, NO2) in the Arctic wintertime boundary layer using low-cost sensors during ALPACA-2022

How Two-Layer Neural Networks Learn, One (Giant) Step at a Time

Teachers, Take Care of the Essential. the Rest Is Story: Using LLM and Social Robots for Content Approaching by Storytelling

Simultaneous Quantification of Multiple Drugs by Machine Learning on Electrochemical Sensors

Causally estimating the effect of YouTube's recommender system using counterfactual bots

Source identification via contact tracing in the presence of asymptomatic patients