Atanas Mirchev

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 17

Top Topics

Bayesian Inference

Directed Graphical Models

Top Venues

Proc. VLDB Endow.

Publications

Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer
Filter-Aware Model-Predictive Control. CoRR (2023)
Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer
Filter-Aware Model-Predictive Control. L4DC (2023)
Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer
PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRL (2022)
Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer
Tracking and Planning with Spatial World Models. L4DC (2022)
Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer
Tracking and Planning with Spatial World Models. CoRR (2022)
Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer
PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRR (2022)
Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. ICLR (2021)
Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. CoRR (2021)
Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. ICLR (2021)
Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. CoRR (2020)
Vladimir Golkov, Marcin J. Skwark, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers
3D Deep Learning for Biological Function Prediction from Physical Fields. 3DV (2020)
Atanas Mirchev, Baris Kayalibay, Maximilian Soelch, Patrick van der Smagt, Justin Bayer
Approximate Bayesian Inference in Spatial Environments. Robotics: Science and Systems (2019)
Atanas Mirchev, Seyed-Ahmad Ahmadi
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning. CoRR (2018)
Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
Approximate Bayesian inference in spatial environments. CoRR (2018)
Viktor Leis, Bernhard Radke, Andrey Gubichev, Atanas Mirchev, Peter A. Boncz, Alfons Kemper, Thomas Neumann
Query optimization through the looking glass, and what we found running the Join Order Benchmark. VLDB J. 27 (5) (2018)
Vladimir Golkov, Marcin J. Skwark, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers
3D Deep Learning for Biological Function Prediction from Physical Fields. CoRR (2017)
Viktor Leis, Andrey Gubichev, Atanas Mirchev, Peter A. Boncz, Alfons Kemper, Thomas Neumann
How Good Are Query Optimizers, Really? Proc. VLDB Endow. 9 (3) (2015)