Identification of Critical Nodes for Delay Propagation in Susceptible-Exposed-Infected-Recovered (SEIR) and Genetic Algorithm (GA) Route Networks von Zhang, Mingyu, Wen, Xiangxi, Wu, Minggong, Xie, Hanchen

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Identification of Critical Nodes for Delay Propagation in Susceptible-Exposed-Infected-Recovered Route Networks von Zhang, Mingyu, Wen, Xiangxi, Wu, Minggong, Xie, Hanchen

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Weakly Supervised Invariant Representation Learning via Disentangling Known and Unknown Nuisance Factors von Zhu, Jiageng, Xie, Hanchen, Abd-Almageed, Wael

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SW-VAE: Weakly Supervised Learn Disentangled Representation via Latent Factor Swapping von Zhu, Jiageng, Xie, Hanchen, Abd-Almageed, Wael

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Look, Learn and Leverage (L$^3$): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment von Xie, Hanchen, Zhu, Jiageng, Khayatkhoei, Mahyar, Li, Jiazhi, AbdAlmageed, Wael

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An Investigation on The Position Encoding in Vision-Based Dynamics Prediction von Zhu, Jiageng, Xie, Hanchen, Li, Jiazhi, Khayatkhoei, Mahyar, AbdAlmageed, Wael

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DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations von Zhu, Jiageng, Xie, Hanchen, Li, Jiazhi, Abd-Almageed, Wael

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SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping von Zhu, Jiageng, Xie, Hanchen, Abd-Almageed, Wael

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Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors von Zhu, Jiageng, Xie, Hanchen, Abd-Almageed, Wael

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Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength von Zhu, Jiageng, Xie, Hanchen, AbdAlmageed, Wael

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SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering von Li, Jiazhi, Khayatkhoei, Mahyar, Zhu, Jiageng, Xie, Hanchen, Hussein, Mohamed E, AbdAlmageed, Wael

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Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks von Li, Jiazhi, Khayatkhoei, Mahyar, Zhu, Jiageng, Xie, Hanchen, Hussein, Mohamed E, AbdAlmageed, Wael

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Shadow Datasets, New challenging datasets for Causal Representation Learning von Zhu, Jiageng, Xie, Hanchen, Wu, Jianhua, Li, Jiazhi, Khayatkhoei, Mahyar, Hussein, Mohamed E, AbdAlmageed, Wael

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A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment von Xie, Hanchen, Zhu, Jiageng, Khayatkhoei, Mahyar, Li, Jiazhi, Hussein, Mohamed E, AbdAlmageed, Wael

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MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization von Xie, Hanchen, Hussein, Mohamed E, Galstyan, Aram, Abd-Almageed, Wael

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Look, Learn and Leverage (L\(^3\)): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment von Xie, Hanchen, Zhu, Jiageng, Khayatkhoei, Mahyar, Li, Jiazhi, AbdAlmageed, Wael

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An Investigation on The Position Encoding in Vision-Based Dynamics Prediction von Zhu, Jiageng, Xie, Hanchen, Li, Jiazhi, Khayatkhoei, Mahyar, AbdAlmageed, Wael

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DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations von Zhu, Jiageng, Xie, Hanchen, Li, Jiazhi, Abd-Almageed, Wael

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Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength von Zhu, Jiageng, Xie, Hanchen, AbdAlmageed, Wael

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SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping von Zhu, Jiageng, Xie, Hanchen, Abd-Almageed, Wael

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