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 Alexander Terenin, Viacheslav Borovitskiy, James Wilson
9 papers
· 2018–2024
· AISTATS, NeurIPS, ICML
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A Unifying Variational Framework for Gaussian Process Motion Planning
AISTATS 2024
Aligning Time Series on Incomparable Spaces
AISTATS 2021
Learning Contact Dynamics using Physically Structured Neural Networks
AISTATS 2021
Matérn Gaussian Processes on Graphs
AISTATS 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
NeurIPS 2021
Efficiently sampling functions from Gaussian process posteriors
ICML 2020
Healing Products of Gaussian Process Experts
ICML 2020
Variational Integrator Networks for Physically Structured Embeddings
AISTATS 2020
Maximizing acquisition functions for Bayesian optimization
NeurIPS 2018
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