Justin Bayer

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

Learning Flat Latent Manifolds with VAEs.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Variational Tracking and Prediction with Generative Disentangled State-Space Models.

[BibT_eX]

[DOI]

Adnan Akhundov

CoRR, 2019

Bayesian Learning of Neural Network Architectures.

[BibT_eX]

[DOI]

Georgi Dikov

CoRR, 2019

Approximate Bayesian Inference in Spatial Environments.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XV, 2019

Unsupervised Real-Time Control Through Variational Empowerment.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2019

On Deep Set Learning and the Choice of Aggregations.

[BibT_eX]

[DOI]

Adnan Akhundov

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Increasing the Generalisaton Capacity of Conditional VAEs.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Fast Approximate Geodesics for Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Bayesian Learning of Neural Network Architectures.

[BibT_eX]

[DOI]

Georgi Dikov

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Approximate Bayesian inference in spatial environments.

[BibT_eX]

[DOI]

CoRR, 2018

Metrics for Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Key Insights into Hand Biomechanics: Human Grip Stiffness Can Be Decoupled from Force by Cocontraction and Predicted from Electromyography.

[BibT_eX]

[DOI]

Hannes Höppner

Maximilian Große-Dunker

Georg Stillfried

Frontiers Neurorobotics, 2017

Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series.

[BibT_eX]

[DOI]

Marvin Ludersdorfer

CoRR, 2016

ML-based tactile sensor calibration: A universal approach.

[BibT_eX]

[DOI]

CoRR, 2016

Unsupervised preprocessing for Tactile Data.

[BibT_eX]

[DOI]

Nicolas Boulanger-Lewandowski

CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.

[BibT_eX]

[DOI]

Xavier Bouthillier

Alexandre de Brébisson

Samira Ebrahimi Kahou

Pierre-Antoine Manzagol

Christopher Joseph Pal

S. Ramana Subramanyam

CoRR, 2016

2015

Learning Sequence Representations.

[BibT_eX]

[DOI]

PhD thesis, 2015

Efficient Empowerment.

[BibT_eX]

[DOI]

CoRR, 2015

Fast Adaptive Weight Noise.

[BibT_eX]

[DOI]

Daniela Korhammer

CoRR, 2015

Measuring fingertip forces from camera images for random finger poses.

[BibT_eX]

[DOI]

Nutan Chen

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders.

[BibT_eX]

[DOI]

Nutan Chen

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014

Regularizing Recurrent Networks - On Injected Noise and Norm-based Methods.

[BibT_eX]

[DOI]

Saahil Ognawala

CoRR, 2014

On Fast Dropout and its Applicability to Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

Learning Stochastic Recurrent Networks.

[BibT_eX]

[DOI]

CoRR, 2014

Estimating finger grip force from an image of the hand using Convolutional Neural Networks and Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Convolutional Neural Networks learn compact local image descriptors

[BibT_eX]

[DOI]

CoRR, 2013

Unsupervised Feature Learning for low-level Local Image Descriptors

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Learning Representations, 2013

Continuous robot control using surface electromyography of atrophic muscles.

[BibT_eX]

[DOI]

Jörn Vogel

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Computing grip force and torque from finger nail images using Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Convolutional Neural Networks Learn Compact Local Image Descriptors.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Training Neural Networks with Implicit Variance.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Identification of Human Limb Stiffness in 5 DoF and Estimation via EMG.

[BibT_eX]

[DOI]

Proceedings of the Experimental Robotics, 2012

Learning Sequence Neighbourhood Metrics.

[BibT_eX]

[DOI]