Guest lecture at McGill, Network Science course

McGill University • March 2026

I talk about Graphs, Graph Neural Networks and how we can train GNNs on Directed Graphs and Neural Graphs.

ICLR 2025 Workshop talk
View on McGill myCourses Slides PDF

 

Invited talk at ICLR 2025 Workshop on Weight Space Learning

ICLR • April 2025

Watch my talk about Neural Networks as Graphs, where I discuss Graph HyperNetworks, Neural Graphs and other topics.

ICLR 2025 Workshop talk
View on ICLR Slides PDF

 

NiNo: A Novel Machine Learning Approach to Accelerate Neural Network Training through Neuron Interaction and Nowcasting

MarkTechPost • September 2024

The article describes our learnable approach to accelerate training of neural networks.

Figure 1 from our paper
View on MarkTechPost

 

Researchers Build AI That Builds AI

Quanta Magazine • January 2022

The article describes in detail our Graph HyperNetworks from the paper Parameter Prediction for Unseen Deep Architectures.

Source: Quanta Magazine
View on Quanta Magazine

 

Interview with Yannic Kilcher about Graph HyperNetworks

We discuss our paper Parameter Prediction for Unseen Deep Architectures.

YouTube • November 2021