Marc Peter Deisenroth
11 papers · 2021–2025 · 8 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (36) 🗃️ Keyword Collector (74)
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Trend Setter
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Century Club · Bronze
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Unstoppable · Bronze
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Research topics
Machine Learning
(10)
Artificial Intelligence
(6)
Optimization & Theory
(6)
Deep Learning
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Learning Types · Machine Learning
(4)
Architectures
(3)
Core AI
(3)
Core Methods
(3)
Models
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Mathematics
(2)
Computer Vision
(1)
Keywords
gaussian processes
(2)
latent variable model
(2)
gaussian process
(2)
sequence modeling
(1)
offline reinforcement learning
(1)
imitation learning
(1)
vision transformer
(1)
stochastic process
(1)
parameter estimation
(1)
uncertainty quantification
(1)
optimal transport
(1)
posterior sampling
(1)
sparse approximation
(1)
global optimization
(1)
state estimation
(1)
variational inference
(1)
image segmentation
(1)
maximum mean discrepancy
(1)
weather prediction
(1)
one-shot learning
(1)
Papers
Calibrated Physics-Informed Uncertainty Quantification
ICML 2025
Gaussian Processes on Cellular Complexes
ICML 2024
Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems
UAI 2024
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
NeurIPS 2024
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
NeurIPS 2024
Actually Sparse Variational Gaussian Processes
AISTATS 2023
Optimal Transport for Offline Imitation Learning
ICLR 2023
Understanding Deep Generative Models With Generalized Empirical Likelihoods
CVPR 2023
Cauchy–Schwarz Regularized Autoencoder
JMLR 2022
One-Shot Transfer of Affordance Regions? AffCorrs!
CoRL 2022
Pathwise Conditioning of Gaussian Processes
JMLR 2021