Judith Bütepage

Amir Hossein Akhavan Rahnama

Pierre Geurts

Henrik Boström

Data Min. Knowl. Discov., January, 2024

2023

Filter-adapted spatiotemporal sampling for real-time rendering.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Evaluating Local Model-Agnostic Explanations of Learning to Rank Models with Decision Paths.

[BibT_eX]

[DOI]

Amir Hossein Akhavan Rahnama

CoRR, 2022

2021

Evaluation of Local Model-Agnostic Explanations Using Ground Truth.

[BibT_eX]

[DOI]

Pierre Geurts

Henrik Boström

CoRR, 2021

Gaussian Process Encoders: VAEs with Reliable Latent-Space Uncertainty.

[BibT_eX]

[DOI]

Lucas Maystre

Mounia Lalmas

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Collaborative Classification from Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Imitating by Generating: Deep Generative Models for Imitation of Interactive Tasks.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2020

Interpolation in Auto Encoders with Bridge Processes.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fashion Landmark Detection and Category Classification for Robotics.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

Query Understanding for Surfacing Under-served Music Content.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Advances in Variational Inference.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

From Visual Understanding to Complex Object Manipulation.

[BibT_eX]

[DOI]

Annu. Rev. Control. Robotics Auton. Syst., 2019

Modeling assumptions and evaluation schemes: On the assessment of deep latent variable models.

[BibT_eX]

[DOI]

Petra Poklukar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Predicting the What and How - a Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Classify, predict, detect, anticipate and synthesize: Hierarchical recurrent latent variable models for human activity modeling.

[BibT_eX]

[DOI]

CoRR, 2018

Detect, anticipate and generate: Semi-supervised recurrent latent variable models for human activity modeling.

[BibT_eX]

[DOI]

CoRR, 2018

Anticipating Many Futures: Online Human Motion Prediction and Generation for Human-Robot Interaction.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Anticipating many futures: Online human motion prediction and synthesis for human-robot collaboration.

[BibT_eX]

[DOI]

CoRR, 2017

Human-Robot Collaboration: From Psychology to Social Robotics.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Representation Learning for Human Motion Prediction and Classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

CapriDB - Capture, Print, Innovate: A Low-Cost Pipeline and Database for Reproducible Manipulation Research.

[BibT_eX]

[DOI]

CoRR, 2016

A sensorimotor reinforcement learning framework for physical Human-Robot Interaction.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Self-learning and adaptation in a sensorimotor framework.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Social Affordance Tracking over Time - A Sensorimotor Account of False-Belief Tasks.

[BibT_eX]

[DOI]