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Judith Bütepage
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2020 – today
- 2024
- [j5]Amir Hossein Akhavan Rahnama, Judith Bütepage, Pierre Geurts, Henrik Boström:
Can local explanation techniques explain linear additive models? Data Min. Knowl. Discov. 38(1): 237-280 (2024) - [j4]William Donnelly, Alan Wolfe, Judith Bütepage, Jon Valdés:
FAST: Filter-Adapted Spatio-Temporal Sampling for Real-Time Rendering. Proc. ACM Comput. Graph. Interact. Tech. 7(1): 13:1-13:16 (2024) - [c14]Amir Hossein Akhavan Rahnama, Judith Bütepage, Henrik Boström:
Local Point-wise Explanations of LambdaMART. SCAI 2024: 121-130 - [c13]Amir Hossein Akhavan Rahnama, Judith Bütepage, Henrik Boström:
Local List-Wise Explanations of LambdaMART. xAI (2) 2024: 369-392 - 2023
- [i14]William Donnelly, Alan Wolfe, Judith Bütepage, Jon Valdés:
Filter-adapted spatiotemporal sampling for real-time rendering. CoRR abs/2310.15364 (2023) - 2022
- [i13]Amir Hossein Akhavan Rahnama, Judith Bütepage:
Evaluating Local Model-Agnostic Explanations of Learning to Rank Models with Decision Paths. CoRR abs/2203.02295 (2022) - 2021
- [c12]Lucas Maystre, Nagarjuna Kumarappan, Judith Bütepage, Mounia Lalmas:
Collaborative Classification from Noisy Labels. AISTATS 2021: 1639-1647 - [c11]Judith Bütepage, Lucas Maystre, Mounia Lalmas:
Gaussian Process Encoders: VAEs with Reliable Latent-Space Uncertainty. ECML/PKDD (2) 2021: 84-99 - [i12]Amir Hossein Akhavan Rahnama, Judith Bütepage, Pierre Geurts, Henrik Boström:
Evaluation of Local Model-Agnostic Explanations Using Ground Truth. CoRR abs/2106.02488 (2021) - 2020
- [j3]Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic:
Imitating by Generating: Deep Generative Models for Imitation of Interactive Tasks. Frontiers Robotics AI 7: 47 (2020) - [c10]Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, Brian Brost, Hugo Galvão, Mounia Lalmas:
Query Understanding for Surfacing Under-served Music Content. CIKM 2020: 2765-2772 - [c9]Thomas Ziegler, Judith Bütepage, Michael C. Welle, Anastasiia Varava, Tonci Novkovic, Danica Kragic:
Fashion Landmark Detection and Category Classification for Robotics. ICARSC 2020: 81-88 - [c8]Carl Ringqvist, Judith Bütepage, Hedvig Kjellström, Henrik Hult:
Interpolation in Auto Encoders with Bridge Processes. ICPR 2020: 5973-5980 - [i11]Thomas Ziegler, Judith Bütepage, Michael C. Welle, Anastasiia Varava, Tonci Novkovic, Danica Kragic:
Fashion Landmark Detection and Category Classification for Robotics. CoRR abs/2003.11827 (2020)
2010 – 2019
- 2019
- [j2]Judith Bütepage, Silvia Cruciani, Mia Kokic, Michael C. Welle, Danica Kragic:
From Visual Understanding to Complex Object Manipulation. Annu. Rev. Control. Robotics Auton. Syst. 2: 161-179 (2019) - [j1]Cheng Zhang, Judith Bütepage, Hedvig Kjellström, Stephan Mandt:
Advances in Variational Inference. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 2008-2026 (2019) - [c7]Judith Bütepage, Petra Poklukar, Danica Kragic:
Modeling assumptions and evaluation schemes: On the assessment of deep latent variable models. CVPR Workshops 2019: 9-12 - [c6]Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Predicting the What and How - a Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling. CVPR Workshops 2019: 2923-2926 - [i10]Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic:
Imitating by generating: deep generative models for imitation of interactive tasks. CoRR abs/1910.06031 (2019) - 2018
- [c5]Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Anticipating Many Futures: Online Human Motion Prediction and Generation for Human-Robot Interaction. ICRA 2018: 1-9 - [i9]Judith Bütepage, Danica Kragic:
Detect, anticipate and generate: Semi-supervised recurrent latent variable models for human activity modeling. CoRR abs/1809.07075 (2018) - [i8]Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Classify, predict, detect, anticipate and synthesize: Hierarchical recurrent latent variable models for human activity modeling. CoRR abs/1809.08875 (2018) - 2017
- [c4]Judith Bütepage, Michael J. Black, Danica Kragic, Hedvig Kjellström:
Deep Representation Learning for Human Motion Prediction and Classification. CVPR 2017: 1591-1599 - [i7]Judith Bütepage, Michael J. Black, Danica Kragic, Hedvig Kjellström:
Deep representation learning for human motion prediction and classification. CoRR abs/1702.07486 (2017) - [i6]Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Anticipating many futures: Online human motion prediction and synthesis for human-robot collaboration. CoRR abs/1702.08212 (2017) - [i5]Judith Bütepage, Danica Kragic:
Human-Robot Collaboration: From Psychology to Social Robotics. CoRR abs/1705.10146 (2017) - [i4]Cheng Zhang, Judith Bütepage, Hedvig Kjellström, Stephan Mandt:
Advances in Variational Inference. CoRR abs/1711.05597 (2017) - 2016
- [c3]Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Social Affordance Tracking over Time - A Sensorimotor Account of False-Belief Tasks. CogSci 2016 - [c2]Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman:
Self-learning and adaptation in a sensorimotor framework. ICRA 2016: 551-558 - [c1]Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman:
A sensorimotor reinforcement learning framework for physical Human-Robot Interaction. IROS 2016: 2682-2688 - [i3]Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman:
Self-learning and adaptation in a sensorimotor framework. CoRR abs/1601.00852 (2016) - [i2]Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman:
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction. CoRR abs/1607.07939 (2016) - [i1]Florian T. Pokorny, Yasemin Bekiroglu, Karl Pauwels, Judith Bütepage, Clara Scherer, Danica Kragic:
CapriDB - Capture, Print, Innovate: A Low-Cost Pipeline and Database for Reproducible Manipulation Research. CoRR abs/1610.05175 (2016)
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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