Kao, Ta-Chu

5 publications

ICLR 2023 Minimum Description Length Control Ted Moskovitz, Ta-Chu Kao, Maneesh Sahani, Matthew Botvinick

ICLR 2022 iLQR-VAE : Control-Based Learning of Input-Driven Dynamics with Applications to Neural Data Marine Schimel, Ta-Chu Kao, Kristopher T Jensen, Guillaume Hennequin

NeurIPS 2021 Natural Continual Learning: Success Is a Journey, Not (just) a Destination Ta-Chu Kao, Kristopher Jensen, Gido van de Ven, Alberto Bernacchia, Guillaume Hennequin

NeurIPS 2021 Scalable Bayesian GPFA with Automatic Relevance Determination and Discrete Noise Models Kristopher Jensen, Ta-Chu Kao, Jasmine Stone, Guillaume Hennequin

NeurIPS 2020 Manifold GPLVMs for Discovering Non-Euclidean Latent Structure in Neural Data Kristopher Jensen, Ta-Chu Kao, Marco Tripodi, Guillaume Hennequin