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Xiaoting Shao

Technische Universität Darmstadt

12

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86

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Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement.

2022 CoRR
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Gradient-based Counterfactual Explanations using Tractable Probabilistic Models.

2022 CoRR
- Xiaoting Shao
- Kristian Kersting
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Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions.

2021 AAAI | National Conference on Artificial Intelligence
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Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures

2020 PGM | Probabilistic Graphical Models
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Independence and D-separation in Abstract Argumentation

2020 KR | Principles of Knowledge Representation and Reasoning
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Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning

2020
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Making deep neural networks right for the right scientific reasons by interacting with their explanations

2020 Nature Machine Intelligence
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Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning.

2019 arXiv: Artificial Intelligence
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Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.

2019 UAI | Uncertainty in Artificial Intelligence
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Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

2019 UAI | Uncertainty in Artificial Intelligence
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