Chris van der Heide
6 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π£ Hot Topic Early Bird
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Cross-Pollinator
(15)
Conferences
ICML (2)
UAI (2)
AAAI (1)
AISTATS (1)
Top co-authors
Keywords
gaussian process
(2)
double descent
(1)
density estimation
(1)
uncertainty quantification
(1)
markov chain monte carlo
(1)
marginal likelihood
(1)
importance sampling
(1)
hamiltonian monte carlo
(1)
hyperparameter tuning
(1)
riemannian manifold
(1)
latent variable
(1)
stochastic differential equation
(1)
activation function
(1)
rough path theory
(1)
adjoint method
(1)
covariance function
(1)
continuous normalizing flow
(1)
kernel methods
(1)
infinite network
(1)
fixed-point dynamic
(1)
Papers
Determinant Estimation under Memory Constraints and Neural Scaling Laws
ICML 2025
Temperature Optimization for Bayesian Deep Learning
UAI 2025
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
ICML 2023
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
AAAI 2021
Shadow Manifold Hamiltonian Monte Carlo
AISTATS 2021
Stochastic continuous normalizing flows: training SDEs as ODEs
UAI 2021