Atanas Mirchev

PhD thesis, 2024

2023

Filter-Aware Model-Predictive Control.

[BibT_eX]

[DOI]

Ahmed Agha

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Tracking and Planning with Spatial World Models.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

PRISM: Probabilistic Real-Time Inference in Spatial World Models.

[BibT_eX]

[DOI]

Ahmed Agha

Daniel Cremers

Proceedings of the Conference on Robot Learning, 2022

2021

Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

3D Deep Learning for Biological Function Prediction from Physical Fields.

[BibT_eX]

[DOI]

Jeffrey L. Mendenhall

Jens Meiler

Daniel Cremers

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Approximate Bayesian Inference in Spatial Environments.

[BibT_eX]

[DOI]

Maximilian Soelch

Proceedings of the Robotics: Science and Systems XV, 2019

2018

Query optimization through the looking glass, and what we found running the Join Order Benchmark.

[BibT_eX]

[DOI]

VLDB J., 2018

Approximate Bayesian inference in spatial environments.

[BibT_eX]

[DOI]

CoRR, 2018

Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning.

[BibT_eX]

[DOI]