Heiko Strathmann

Orcid: 0000-0002-6825-4547

According to our database1, Heiko Strathmann authored at least 19 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Laser: Latent Set Representations for 3D Generative Modeling.
CoRR, 2023

2022
Score-Based Diffusion meets Annealed Importance Sampling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Neural Variational Gradient Descent.
CoRR, 2021

Persistent Message Passing.
CoRR, 2021

Sparse Gaussian Processes on Discrete Domains.
IEEE Access, 2021

NeRF-VAE: A Geometry Aware 3D Scene Generative Model.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Learning deep kernels for exponential family densities.
Proceedings of the 36th International Conference on Machine Learning, 2019

SOM-VAE: Interpretable Discrete Representation Learning on Time Series.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Scalable Gaussian Processes on Discrete Domains.
CoRR, 2018

Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series.
CoRR, 2018

Efficient and principled score estimation with Nyström kernel exponential families.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Efficient and principled score estimation.
CoRR, 2017

Kernel Sequential Monte Carlo.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
A Kernel Test of Goodness of Fit.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Unbiased Bayes for Big Data: Paths of Partial Posteriors.
CoRR, 2015

Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Kernel Adaptive Metropolis-Hastings.
Proceedings of the 31th International Conference on Machine Learning, 2014

2012
Optimal kernel choice for large-scale two-sample tests.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012


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