Kristopher T. Jensen

11 papers A* 5B 2Journal 4
YearRankTypeTitle / Venue / Authors
2024 B conf
A neural network model trained on free recall learns the method of loci.
CogSci
Moufan Li, Kristopher T. Jensen, Marcelo G. Mattar
2024 B conf
Some and Done? Temporally extended decisions with very few rollouts.
CogSci
Sixing Chen, Kristopher T. Jensen, Marcelo G. Mattar
2023 J jnl
An introduction to reinforcement learning for neuroscience.
CoRR
Kristopher T. Jensen
2023 A* conf
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles.
ICLR
Martin Bjerke, Lukas Schott, Kristopher T. Jensen, Claudia Battistin, David A. Klindt, Benjamin Adric Dunn
2022 J jnl
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles.
CoRR
Martin Bjerke, Lukas Schott, Kristopher T. Jensen, Claudia Battistin, David A. Klindt, Benjamin A. Dunn
2022 A* conf
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data.
ICLR
Marine Schimel, Ta-Chu Kao, Kristopher T. Jensen, Guillaume Hennequin
2021 A* conf
Natural continual learning: success is a journey, not (just) a destination.
NeurIPS
Ta-Chu Kao, Kristopher T. Jensen, Gido van de Ven, Alberto Bernacchia, Guillaume Hennequin
2021 J jnl
Natural continual learning: success is a journey, not (just) a destination.
CoRR
Ta-Chu Kao, Kristopher T. Jensen, Alberto Bernacchia, Guillaume Hennequin
2021 A* conf
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models.
NeurIPS
Kristopher T. Jensen, Ta-Chu Kao, Jasmine Stone, Guillaume Hennequin
2020 A* conf
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data.
NeurIPS
Kristopher T. Jensen, Ta-Chu Kao, Marco Tripodi, Guillaume Hennequin
2020 J jnl
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data.
CoRR
Kristopher T. Jensen, Ta-Chu Kao, Marco Tripodi, Guillaume Hennequin