Konstantinos P. Panousis

ConceptDiscoveryModels. This is the official implementation of the Concept Discovery Models paper.

Adversarial-LWTA-AutoAttack. Python

Coarse-To-Fine-CBMs. This is the official implementation of the Coarse-to-Fine Concept Bottleneck Models paper, NeurIPS 2024.

SB-LWTA. Code Implementation for Nonparametric Bayesian Deep Networks with Local Competition

AutomaticTraitExtraction. Jupyter Notebook

adversarial_ecoc_lwta. Local Competition and Stochasticity for Adversarial Robustness, AISTATS 2021

Variational_Conditional_Dependence_HMM. Code Implementation for the paper "Variational Conditional Dependence Hidden Markov Models for Skeleton-based Action Recognition", International Symposium on Visual Computing (ISVC) 2021

DISCOVER. Python

aiD_Technologies. This repository comprises all the implemented solutions developed under the aRTIFICIAL iNTELLIGENCE for the Deaf programme. Grant agreement ID: 872139