Layer Communities in Multiplex Networks. - Ta-Chu Kao; Mason A. Porter (CoRR, 2017)

OwlDE: making ODEs first-class Owl citizens. - Marcello Seri; Ta-Chu Kao (J. Open Source Softw., 2019)

Manifold GPLVMs for discovering non-Euclidean latent structure in neural data. - Kristopher T. Jensen; Ta-Chu Kao; Marco Tripodi; Guillaume Hennequin (NeurIPS, 2020)

Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations. - Ta-Chu Kao; Guillaume Hennequin (CoRR, 2020)

Scalable Bayesian GPFA with automatic relevance determination and discrete noise models. - Kristopher T. Jensen; Ta-Chu Kao; Jasmine Stone; Guillaume Hennequin (NeurIPS, 2021)

Natural continual learning: success is a journey, not (just) a destination. - Ta-Chu Kao; Kristopher T. Jensen; Gido van de Ven; Alberto Bernacchia; Guillaume Hennequin (NeurIPS, 2021)

Natural continual learning: success is a journey, not (just) a destination. - Ta-Chu Kao; Kristopher T. Jensen; Alberto Bernacchia; Guillaume Hennequin (CoRR, 2021)

iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data. - Marine Schimel; Ta-Chu Kao; Kristopher T. Jensen; Guillaume Hennequin (ICLR, 2022)

Minimum Description Length Control. - Ted Moskovitz; Ta-Chu Kao; Maneesh Sahani; Matt M. Botvinick (ICLR, 2023)