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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