A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation. - Carol Mak; Luke Ong (CoRR, 2020)

Densities of Almost Surely Terminating Probabilistic Programs are Differentiable Almost Everywhere. - Carol Mak; C.-H. Luke Ong; Hugo Paquet; Dominik Wagner 001 (ESOP, 2021)

Nonparametric Hamiltonian Monte Carlo. - Carol Mak; Fabian Zaiser; Luke Ong (ICML, 2021)

Nonparametric Involutive Markov Chain Monte Carlo. - Carol Mak; Fabian Zaiser; Luke Ong (ICML, 2022)

Coalitions of Large Language Models Increase the Robustness of AI Agents. - Prattyush Mangal; Carol Mak; Theo Kanakis; Timothy Donovan; Dave Braines; Edward Pyzer-Knapp (CoRR, 2024)