Heiko Strathmann
9 papers · 2012–2022 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Half
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(25)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(6)
Mathematics & Optimization
(5)
Artificial Intelligence
(4)
Core Methods
(4)
Deep Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Models
(3)
Optimization
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Mathematics
(2)
Computer Vision
(1)
Analysis
(1)
Architectures
(1)
Generation
(1)
Keywords
kernel methods
(5)
variational autoencoder
(3)
markov chain monte carlo
(3)
reproducing kernel hilbert space
(3)
density estimation
(3)
hamiltonian monte carlo
(2)
bayesian inference
(2)
score matching
(2)
exponential family
(2)
adaptive sampling
(1)
distribution comparison
(1)
volume rendering
(1)
two-sample test
(1)
maximum mean discrepancy
(1)
metropolis-hastings algorithm
(1)
hypothesis testing
(1)
nystrom approximation
(1)
marginal likelihood
(1)
kernel selection
(1)
variational inference
(1)
Papers
Score-Based Diffusion meets Annealed Importance Sampling
NeurIPS 2022
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
ICML 2021
Learning deep kernels for exponential family densities
ICML 2019
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
ICLR 2019
Efficient and principled score estimation with Nyström kernel exponential families
AISTATS 2018
A Kernel Test of Goodness of Fit
ICML 2016
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
NeurIPS 2015
Kernel Adaptive Metropolis-Hastings
ICML 2014
Optimal kernel choice for large-scale two-sample tests
NeurIPS 2012