Marc Deisenroth
24 papers · 2010–2024 · 4 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 38% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Marc Deisenroth?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Hugh Salimbeni, James Hensman, Vincent Dutordoir
6 papers
· 2017–2020
· NeurIPS, ICML
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Stochastic Differential Equations with Variational Wishart Diffusions
ICML 2020
Deep Gaussian Processes with Importance-Weighted Variational Inference
ICML 2019
Gaussian Process Conditional Density Estimation
NeurIPS 2018
Orthogonally Decoupled Variational Gaussian Processes
NeurIPS 2018
Doubly Stochastic Variational Inference for Deep Gaussian Processes
NeurIPS 2017
Identification of Gaussian Process State Space Models
NeurIPS 2017
7 papers whose co-authors appear nowhere else under this name
Thin and deep Gaussian processes
NeurIPS 2023
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
AISTATS 2018
Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches
ICML 2018
Distributed Gaussian Processes
ICML 2015
Analytic Long-Term Forecasting with Periodic Gaussian Processes
AISTATS 2014
Expectation Propagation in Gaussian Process Dynamical Systems
NeurIPS 2012
Probabilistic Modeling of Human Movements for Intention Inference
RSS 2012