Marvin Pförtner
6 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(12)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Deep Learning
(3)
Architectures
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Models
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Learning Types
(1)
Mathematics
(1)
Methods
(1)
Keywords
gaussian process
(3)
variational inference
(2)
uncertainty quantification
(2)
laplace approximation
(2)
diffusion process
(1)
variance reduction
(1)
posterior covariance
(1)
approximation error
(1)
gaussian markov random field
(1)
posterior approximation
(1)
gaussian process prior
(1)
partial differential equation
(1)
kalman smoothing
(1)
bayesian neural network
(1)
function space prior
(1)
bayesian deep learning
(1)
neural operator
(1)
fourier neural operator
(1)
predictive uncertainty
(1)
probabilistic numerical method
(1)
Papers
Computation-Aware Kalman Filtering and Smoothing
AISTATS 2025
Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields
AISTATS 2025
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
ICML 2025
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning
NeurIPS 2024
Reparameterization invariance in approximate Bayesian inference
NeurIPS 2024
Posterior and Computational Uncertainty in Gaussian Processes
NeurIPS 2022