( en | de | ru )

 

Disambiguation of "Soelch, Maximilian"

Author of the publication

copydeleteadd this publication to your clipboard
On Deep Set Learning and the Choice of Aggregations.

, , , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 444-457. Springer, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ilse Soelch

Maximilian Seidl

Zeitliche Charakterisierung der insulinabhängigen Tyrosinphosphorylierung des Insulinrezeptors, IRS 1 und der PI3-Kinasebindung in primären Maushepatocyten. Uni Freiburg, (2009)

Maximilian Albrecht

Maximilian Wittmer

Maximilian Harling

 

Other publications of authors with the same name

Unsupervised Real-Time Control Through Variational Empowerment., , , , , and . ISRR, volume 20 of Springer Proceedings in Advanced Robotics, page 158-173. Springer, (2019)Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data., , , and . ICLR (Poster), OpenReview.net, (2017)Variational Tracking and Prediction with Generative Disentangled State-Space Models., , , and . CoRR, (2019)Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data., , , and . CoRR, (2016)Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series., , , and . CoRR, (2016)On Deep Set Learning and the Choice of Aggregations., , , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 444-457. Springer, (2019)Approximate Bayesian Inference in Spatial Environments., , , , and . Robotics: Science and Systems, (2019)Latent Matters: Learning Deep State-Space Models., , , , and . NeurIPS, page 10234-10245. (2021)Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models., , , , and . ICLR, OpenReview.net, (2021)