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Justin Bayer
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2020 – today
- 2023
- [c26]Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer:
Filter-Aware Model-Predictive Control. L4DC 2023: 1441-1454 - [i24]Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt
, Justin Bayer:
Filter-Aware Model-Predictive Control. CoRR abs/2304.10246 (2023) - 2022
- [c25]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: 161-174 - [c24]Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer:
Tracking and Planning with Spatial World Models. L4DC 2022: 124-137 - [i23]Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer:
Tracking and Planning with Spatial World Models. CoRR abs/2201.10335 (2022) - [i22]Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt
, Daniel Cremers
, Justin Bayer:
PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRR abs/2212.02988 (2022) - 2021
- [c23]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 - [c22]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 - [i21]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 abs/2101.07046 (2021) - 2020
- [c21]Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt:
Learning Flat Latent Manifolds with VAEs. ICML 2020: 1587-1596 - [i20]Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt
:
Learning Flat Latent Manifolds with VAEs. CoRR abs/2002.04881 (2020) - [i19]Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt
, Justin Bayer:
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. CoRR abs/2006.10178 (2020)
2010 – 2019
- 2019
- [c20]Georgi Dikov, Justin Bayer:
Bayesian Learning of Neural Network Architectures. AISTATS 2019: 730-738 - [c19]Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt
, Justin Bayer:
On Deep Set Learning and the Choice of Aggregations. ICANN (1) 2019: 444-457 - [c18]Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt
:
Fast Approximate Geodesics for Deep Generative Models. ICANN (2) 2019: 554-566 - [c17]Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt
:
Increasing the Generalisaton Capacity of Conditional VAEs. ICANN (2) 2019: 779-791 - [c16]Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt
, Justin Bayer:
Unsupervised Real-Time Control Through Variational Empowerment. ISRR 2019: 158-173 - [c15]Atanas Mirchev, Baris Kayalibay, Maximilian Soelch, Patrick van der Smagt
, Justin Bayer:
Approximate Bayesian Inference in Spatial Environments. Robotics: Science and Systems 2019 - [i18]Georgi Dikov, Patrick van der Smagt
, Justin Bayer:
Bayesian Learning of Neural Network Architectures. CoRR abs/1901.04436 (2019) - [i17]Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer:
On Deep Set Learning and the Choice of Aggregations. CoRR abs/1903.07348 (2019) - [i16]Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt:
Increasing the Generalisaton Capacity of Conditional VAEs. CoRR abs/1908.08750 (2019) - [i15]Adnan Akhundov, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
:
Variational Tracking and Prediction with Generative Disentangled State-Space Models. CoRR abs/1910.06205 (2019) - 2018
- [c14]Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt
:
Metrics for Deep Generative Models. AISTATS 2018: 1540-1550 - [i14]Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer:
Approximate Bayesian inference in spatial environments. CoRR abs/1805.07206 (2018) - [i13]Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt:
Fast Approximate Geodesics for Deep Generative Models. CoRR abs/1812.08284 (2018) - 2017
- [j2]Hannes Höppner
, Maximilian Große-Dunker, Georg Stillfried, Justin Bayer, Patrick van der Smagt
:
Key Insights into Hand Biomechanics: Human Grip Stiffness Can Be Decoupled from Force by Cocontraction and Predicted from Electromyography. Frontiers Neurorobotics 11: 17 (2017) - [c13]Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt:
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. ICLR (Poster) 2017 - [i12]Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt:
Metrics for Deep Generative Models. CoRR abs/1711.01204 (2017) - 2016
- [i11]Maximilian Soelch, Justin Bayer, Marvin Ludersdorfer, Patrick van der Smagt:
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series. CoRR abs/1602.07109 (2016) - [i10]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - [i9]Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt:
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. CoRR abs/1605.06432 (2016) - [i8]Maximilian Karl, Artur Lohrer, Dhananjay Shah, Frederik Diehl
, Max Fiedler, Saahil Ognawala, Justin Bayer, Patrick van der Smagt:
ML-based tactile sensor calibration: A universal approach. CoRR abs/1606.06588 (2016) - [i7]Maximilian Karl
, Justin Bayer, Patrick van der Smagt:
Unsupervised preprocessing for Tactile Data. CoRR abs/1606.07312 (2016) - 2015
- [b1]Justin Bayer:
Learning Sequence Representations. Technical University Munich, 2015 - [c12]Nutan Chen, Justin Bayer, Sebastian Urban, Patrick van der Smagt
:
Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders. Humanoids 2015: 434-440 - [c11]Nutan Chen, Sebastian Urban, Justin Bayer, Patrick van der Smagt
:
Measuring fingertip forces from camera images for random finger poses. IROS 2015: 1216-1221 - [i6]Justin Bayer, Maximilian Karl
, Daniela Korhammer, Patrick van der Smagt:
Fast Adaptive Weight Noise. CoRR abs/1507.05331 (2015) - [i5]Maximilian Karl
, Justin Bayer, Patrick van der Smagt:
Efficient Empowerment. CoRR abs/1509.08455 (2015) - 2014
- [c10]Nutan Chen, Sebastian Urban, Christian Osendorfer, Justin Bayer, Patrick van der Smagt
:
Estimating finger grip force from an image of the hand using Convolutional Neural Networks and Gaussian processes. ICRA 2014: 3137-3142 - [c9]Justin Bayer, Christian Osendorfer, Nutan Chen, Sebastian Urban, Patrick van der Smagt:
On Fast Dropout and its Applicability to Recurrent Networks. ICLR (Poster) 2014 - [i4]Saahil Ognawala, Justin Bayer:
Regularizing Recurrent Networks - On Injected Noise and Norm-based Methods. CoRR abs/1410.5684 (2014) - [i3]Justin Bayer, Christian Osendorfer:
Learning Stochastic Recurrent Networks. CoRR abs/1411.7610 (2014) - 2013
- [c8]Justin Bayer, Christian Osendorfer, Sebastian Urban, Patrick van der Smagt
:
Training Neural Networks with Implicit Variance. ICONIP (2) 2013: 132-139 - [c7]Christian Osendorfer, Justin Bayer, Sebastian Urban, Patrick van der Smagt
:
Convolutional Neural Networks Learn Compact Local Image Descriptors. ICONIP (3) 2013: 624-630 - [c6]Jörn Vogel
, Justin Bayer, Patrick van der Smagt
:
Continuous robot control using surface electromyography of atrophic muscles. IROS 2013: 845-850 - [c5]Sebastian Urban, Justin Bayer, Christian Osendorfer, Göran Westling, Benoni B. Edin, Patrick van der Smagt
:
Computing grip force and torque from finger nail images using Gaussian processes. IROS 2013: 4034-4039 - [c4]Christian Osendorfer, Justin Bayer, Patrick van der Smagt:
Unsupervised Feature Learning for low-level Local Image Descriptors. ICLR (Workshop Poster) 2013 - [i2]Christian Osendorfer, Justin Bayer, Patrick van der Smagt:
Convolutional Neural Networks learn compact local image descriptors. CoRR abs/1304.7948 (2013) - 2012
- [c3]Justin Bayer, Christian Osendorfer, Patrick van der Smagt
:
Learning Sequence Neighbourhood Metrics. ICANN (1) 2012: 531-538 - [c2]Dominic Lakatos, Daniel Rüschen
, Justin Bayer, Jörn Vogel, Patrick van der Smagt
:
Identification of Human Limb Stiffness in 5 DoF and Estimation via EMG. ISER 2012: 89-99 - 2011
- [i1]Justin Bayer, Christian Osendorfer, Patrick van der Smagt:
Learning Sequence Neighbourhood Metrics. CoRR abs/1109.2034 (2011) - 2010
- [j1]Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, Martin Felder, Frank Sehnke, Thomas Rückstieß, Jürgen Schmidhuber:
PyBrain. J. Mach. Learn. Res. 11: 743-746 (2010)
2000 – 2009
- 2009
- [c1]Justin Bayer, Daan Wierstra, Julian Togelius
, Jürgen Schmidhuber:
Evolving Memory Cell Structures for Sequence Learning. ICANN (2) 2009: 755-764
Coauthor Index
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