2 citations · 2 across the 4 of their papers we have counts for
4 papers
A Causal Ordering Prior for Unsupervised Representation Learning
Avinash Kori, Pedro Sanchez, Konstantinos Vilouras +2
Unsupervised representation learning with variational inference relies heavily on independence assumptions over latent variables. Causal representation learning (CRL), however, arg…
Vector Quantisation for Robust Segmentation
Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler +2
The reliability of segmentation models in the medical domain depends on the model's robustness to perturbations in the input space. Robustness is a particular challenge in medical…
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations
Avinash Kori, Ben Glocker, Francesca Toni
Most of the current explainability techniques focus on capturing the importance of features in input space. However, given the complexity of models and data-generating processes, t…
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models
Ainkaran Santhirasekaram, Avinash Kori, Andrea Rockall +3
Explanations for \emph{black-box} models help us understand model decisions as well as provide information on model biases and inconsistencies. Most of the current explainability t…