Zintgraf, Luisa
Yonghao
6 papers on CoChatORCID 0009-0003-5864-7632
Most cited papers
- Verified
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
Zintgraf, L. M., Cohen, T. S., Adel, T., & Welling, M. (2017) · arXiv
Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications
Cited by 487
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A practical guide to multi-objective reinforcement learning and planning
Hayes, C. F., Rădulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L. M., Dazeley, R., Heintz, F., et al. (2022) · Autonomous Agents and Multi-Agent Systems
Reinforcement Learning in RoboticsAdvanced Multi-Objective Optimization Algorithms
Cited by 400
- Verified
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
Zintgraf, L., Shiarlis, K., Igl, M., Schulze, S., Gal, Y., Hofmann, K., & Whiteson, S. (2019) · arXiv
Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research
Cited by 112
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Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 69
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Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
Theodorou, L., Massiceti, D., Zintgraf, L., Stumpf, S., Morrison, C., Cutrell, E., Harris, M. T., & Hofmann, K. (2021) · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility
Assistive Technology in Communication and MobilityDigital Accessibility for Disabilities
Cited by 42
- Verified
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
Massiceti, D., Zintgraf, L., Bronskill, J., Theodorou, L., Harris, M. T., Cutrell, E., Morrison, C., Hofmann, K., & Stumpf, S. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 33
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