Marc Peter Deisenroth
11 papers · 2021–2025 · 8 conferences · across top CS/AI conferences
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Conferences
ICML (2)
JMLR (2)
NIPS (2)
AISTATS (1)
CORL (1)
CVPR (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
latent variable model
(2)
gaussian process
(2)
sequence modeling
(1)
vision transformer
(1)
variational inference
(1)
gaussian processes
(1)
posterior sampling
(1)
approximation error
(1)
latent variable
(1)
global optimization
(1)
sparse approximation
(1)
stochastic process
(1)
maximum mean discrepancy
(1)
weather prediction
(1)
uncertainty quantification
(1)
image segmentation
(1)
gaussian mixture model
(1)
diffusion model
(1)
one-shot learning
(1)
unsupervised learning
(1)
Papers
Calibrated Physics-Informed Uncertainty Quantification
ICML 2025
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
NIPS 2024
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
NIPS 2024
Gaussian Processes on Cellular Complexes
ICML 2024
Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems
UAI 2024
Optimal Transport for Offline Imitation Learning
ICLR 2023
Actually Sparse Variational Gaussian Processes
AISTATS 2023
Understanding Deep Generative Models With Generalized Empirical Likelihoods
CVPR 2023
CauchyโSchwarz Regularized Autoencoder
JMLR 2022
One-Shot Transfer of Affordance Regions? AffCorrs!
CORL 2022
Pathwise Conditioning of Gaussian Processes
JMLR 2021