Projects

Characterising Universes in String Theory using Geometric Learning

Graphs
ML
GDL
Challenger Mishra

Coarsening disassortative graphs

Graphs
ML
GDL
Daniele Grattarola

Efficient Fully Fourier Spherical Convolutional Networks

Graphs
ML
GDL
Shubhendu Trivedi

Geometric Learning on Shapes and Distributions with Optimal Transport

Graphs
ML
GDL
Jean Feydy

Geometry of HMC and Geometric Integration for Sampling and Optimization

Graphs
ML
GDL
Alessandro Barp

Implicit Node and Edge Features for More Expressive Graph Neural Networks

Graphs
ML
GDL
Octavian-Eugen Ganea

Implicit planner GNNs for continuous control

Graphs
ML
GDL
Andreea Deac

Improved expressive power for message-passing networks via subgraph aggregation

Graphs
ML
GDL
Haggai Maron

Investigating Differentiable Graph Module

Graphs
ML
GDL
Anees Kazi

Manifold optimization and recent applications

Graphs
ML
GDL
Bamdev Mishra

Morphing of manifold-valued images

Graphs
ML
GDL
Sebastian Neumayer

Morphing of manifold-valued images

Graphs
ML
GDL
Marie-Julie Rakotosaona

Navigating text adventures with algorithmic reasoners

Graphs
ML
GDL
Petar Veličković

Platonic CNNs

Graphs
ML
GDL
Taco Cohen

Pretraining graph neural networks with ELECTRA

Graphs
ML
GDL
Wengong Jin

Self-supervised non-rigid correspondence by geodesic distortion minimization using the deformation field

Graphs
ML
GDL
Søren Hauberg

Self-supervised non-rigid correspondence by geodesic distortion minimization using the deformation field

Graphs
ML
GDL
Oshri Halimi

Stability or Collapse: Topological Properties of Deep Autoencoders

Graphs
ML
GDL
Kelly Spendlove

Surface reconstruction from point clouds

Graphs
ML
GDL
Rana Hanocka

Uncovering and correcting biases in neuroimaging studies

Graphs
ML
GDL
Ira Ktena
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