Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks.

FAIR AI models in high energy physics.

A detailed study of interpretability of deep neural network based top taggers.

Recipes for when physics fails: recovering robust learning of physics informed neural networks.

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.

Data Science and Machine Learning in Education.

Explainable AI for High Energy Physics.

Robust Learning of Physics Informed Neural Networks.

Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning.