Workshops

Language, Interaction, and Perception in Minecraft

Automatic Differentiation, PyTorch and Graph Neural Networks

Deep Learning as Sparsity Enforcing Algorithms

Semantic 3D reconstruction

Low Latency Deep Imaging Cytometry

A theoretical look at adversarial examples: a perspective from high-dimensional geometry

Theoretically Principled Trade-off between Robustness and Accuracy

On Inverse Problems and Unsupervised Learning in the Mapping of Heterogeneous Molecular Structures in Cryo-Electron Microscopy

Graph Convolutional Neural Networks for Molecule Generation and Travelling Salesman Problem

Self-supervised learning for visual recognition

GMNN: Graph Markov Neural Networks

Unsupervised Learning with Graph Neural Networks

Deep Generative Models for Graphs: Methods & Applications

Relational Representation Learning with Graph Neural Networks

Geometric Deep Learning: approaches and applications

From classical statistics to modern machine learning

Bounding and Counting Linear Regions of Deep Neural Networks

On the Implicit Bias of Dropout

Unnormalized Optimal Transport

Deriving Equivalent Networks and hyperparameter optimization

The creation of dense depth maps for autonomous cars

Gauge Equivariant Convolutional Networks

Geometry-aware deep learning: A brief history of equivariant representations and recent results

Exploiting the 3D Geometry and the Structure of the World in Deep Learning