Graph Neural Processes: Towards Bayesian Graph Neural Networks. - Andrew N. Carr; David Wingate (CoRR, 2019)

Wasserstein Neural Processes. - Andrew N. Carr; Jared Nielson; David Wingate (CoRR, 2019)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; Jerry Tworek; Heewoo Jun; Qiming Yuan; Henrique Pondé de Oliveira Pinto; Jared Kaplan; Harri Edwards; Yuri Burda; Nicholas Joseph; Greg Brockman; Alex Ray; Raul Puri; et al. (CoRR, 2021)

Self-Supervised Learning of Audio Representations From Permutations With Differentiable Ranking. - Andrew N. Carr; Quentin Berthet; Mathieu Blondel; Olivier Teboul; Neil Zeghidour (IEEE Signal Process. Lett., 2021)