Ta-Chu Kao
5 papers · 2020–2023 · 2 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(2)
🌉
Interdisciplinary Bridge
🐝
Cross-Pollinator
(15)
Conferences
NIPS (3)
ICLR (2)
Top co-authors
Keywords
variational inference
(2)
latent variable model
(2)
gaussian process
(2)
probabilistic modeling
(1)
manifold learning
(1)
bayesian inference
(1)
bayesian regularization
(1)
automatic relevance determination
(1)
weight regularization
(1)
projected gradient descent
(1)
factor analysis
(1)
gradient projection
(1)
continual learning
(1)
catastrophic forgetting
(1)
Papers
Minimum Description Length Control
ICLR 2023
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data
ICLR 2022
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
NIPS 2021
Natural continual learning: success is a journey, not (just) a destination
NIPS 2021
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data
NIPS 2020