← Authors

Heiko Strathmann

9 papers · 2012–2022 · 4 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (10) 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ“ˆ Trend Setter

Conferences

ICML (4) NIPS (3) AISTATS (1) ICLR (1)

Top co-authors

Arthur Gretton (6) Dino Sejdinovic (3) Danica J. Sutherland (2) Rosalia Schneider (1) Massimiliano Pontil (1) Zoltan Szabo (1) Gunnar RΓ€tsch (1) Sivaraman Balakrishnan (1) Danilo Jimenez Rezende (1) Adam R Kosiorek (1)

Research topics

Statistics (1)

Keywords

kernel methods (5) density estimation (3) reproducing kernel hilbert space (3) markov chain monte carlo (3) exponential family (2) score matching (2) hamiltonian monte carlo (2) bayesian inference (2) kernel selection (1) adaptive sampling (1) variational inference (1) maximum mean discrepancy (1) amortized inference (1) distribution comparison (1) metropolis-hastings algorithm (1) two-sample test (1) nystrom approximation (1) geometric structure (1) marginal likelihood (1) volume rendering (1)

Papers

Score-Based Diffusion meets Annealed Importance Sampling NIPS 2022
NeRF-VAE: A Geometry Aware 3D Scene Generative Model ICML 2021
SOM-VAE: Interpretable Discrete Representation Learning on Time Series ICLR 2019
Learning deep kernels for exponential family densities ICML 2019
Efficient and principled score estimation with NystrΓΆm kernel exponential families AISTATS 2018
A Kernel Test of Goodness of Fit ICML 2016
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NIPS 2015
Kernel Adaptive Metropolis-Hastings ICML 2014
Optimal kernel choice for large-scale two-sample tests NIPS 2012