Nicholas Krämer
7 papers · 2020–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (16)
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(2)
Conferences
NIPS (3)
ICML (2)
AISTATS (1)
JMLR (1)
Top co-authors
Research topics
Keywords
bayesian inference
(4)
uncertainty quantification
(3)
gaussian process
(3)
probabilistic numerical method
(2)
numerical analysis
(2)
probabilistic numerics
(2)
gradient computation
(1)
latent force models
(1)
state space model
(1)
dynamical system
(1)
partial differential equation
(1)
numerical stability
(1)
bayesian neural network
(1)
matrix function gradient
(1)
lanczos iteration
(1)
arnoldi iteration
(1)
adjoint differentiation
(1)
differential equation
(1)
ordinary differential equation
(1)
scientific machine learning
(1)
Papers
Gradients of Functions of Large Matrices
NIPS 2024
Stable Implementation of Probabilistic ODE Solvers
JMLR 2024
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations
AISTATS 2022
Probabilistic ODE Solutions in Millions of Dimensions
ICML 2022
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
NIPS 2021
Linear-Time Probabilistic Solution of Boundary Value Problems
NIPS 2021
Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems
ICML 2020