Kristopher T. Jensen

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Automatic Relevance Determination

Reinforcement Learning

Direct Policy Search

Artificial Intelligent Systems

Top Venues

Publications

Martin Bjerke, Lukas Schott, Kristopher T. Jensen, Claudia Battistin, David A. Klindt, Benjamin Adric Dunn
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles. ICLR (2023)
Kristopher T. Jensen
An introduction to reinforcement learning for neuroscience. CoRR (2023)
Martin Bjerke, Lukas Schott, Kristopher T. Jensen, Claudia Battistin, David A. Klindt, Benjamin A. Dunn
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles. CoRR (2022)
Marine Schimel, Ta-Chu Kao, Kristopher T. Jensen, Guillaume Hennequin
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data. ICLR (2022)
Ta-Chu Kao, Kristopher T. Jensen, Gido van de Ven, Alberto Bernacchia, Guillaume Hennequin
Natural continual learning: success is a journey, not (just) a destination. NeurIPS (2021)
Ta-Chu Kao, Kristopher T. Jensen, Alberto Bernacchia, Guillaume Hennequin
Natural continual learning: success is a journey, not (just) a destination. CoRR (2021)
Kristopher T. Jensen, Ta-Chu Kao, Jasmine Stone, Guillaume Hennequin
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models. NeurIPS (2021)
Kristopher T. Jensen, Ta-Chu Kao, Marco Tripodi, Guillaume Hennequin
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data. NeurIPS (2020)
Kristopher T. Jensen, Ta-Chu Kao, Marco Tripodi, Guillaume Hennequin
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data. CoRR (2020)