Justin Bayer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
9
Active years
2009–2024
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CoRL | Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters. | Ahmed Agha, Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer |
| 2022 | CoRL | PRISM: Probabilistic Real-Time Inference in Spatial World Models. | Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer |
| 2021 | ICLR | Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. | Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt |
| 2021 | ICLR | Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. | Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer |
| 2020 | ICML | Learning Flat Latent Manifolds with VAEs. | Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt |
| 2019 | AISTATS | Bayesian Learning of Neural Network Architectures. | Georgi Dikov, Justin Bayer |
| 2019 | ICANN | Fast Approximate Geodesics for Deep Generative Models. | Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt |
| 2019 | ICANN | Increasing the Generalisaton Capacity of Conditional VAEs. | Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt |
| 2019 | ICANN | On Deep Set Learning and the Choice of Aggregations. | Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer |
| 2019 | ISRR | Unsupervised Real-Time Control Through Variational Empowerment. | Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt, Justin Bayer |
| 2018 | AISTATS | Metrics for Deep Generative Models. | Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt |
| 2017 | ICLR | Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. | Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt |
| 2015 | IROS | Measuring fingertip forces from camera images for random finger poses. | Nutan Chen, Sebastian Urban, Justin Bayer, Patrick van der Smagt |
| 2014 | ICRA | Estimating finger grip force from an image of the hand using Convolutional Neural Networks and Gaussian processes. | Nutan Chen, Sebastian Urban, Christian Osendorfer, Justin Bayer, Patrick van der Smagt |
| 2013 | ICONIP | Training Neural Networks with Implicit Variance. | Justin Bayer, Christian Osendorfer, Sebastian Urban, Patrick van der Smagt |
| 2013 | ICONIP | Convolutional Neural Networks Learn Compact Local Image Descriptors. | Christian Osendorfer, Justin Bayer, Sebastian Urban, Patrick van der Smagt |
| 2013 | IROS | Computing grip force and torque from finger nail images using Gaussian processes. | Sebastian Urban, Justin Bayer, Christian Osendorfer, Gran Westling, Benoni B. Edin, Patrick van der Smagt |
| 2013 | IROS | Continuous robot control using surface electromyography of atrophic muscles. | Jrn Vogel, Justin Bayer, Patrick van der Smagt |
| 2012 | ICANN | Learning Sequence Neighbourhood Metrics. | Justin Bayer, Christian Osendorfer, Patrick van der Smagt |
| 2009 | ICANN | Evolving Memory Cell Structures for Sequence Learning. | Justin Bayer, Daan Wierstra, Julian Togelius, Jrgen Schmidhuber |