Publications

Danru Xu, Lauri Parkkonen, Sara Magliacane, Aapo Hyvärinen (2026). Identifying dependent components from multi-domain linear mixtures. In ICML 2026.

Danru Xu, Sébastien Lachapelle, Sara Magliacane (2026). Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing. In AISTATS 2026.

Danru Xu, Dingling Yao, Sébastien Lachapelle, Perouz Taslakian, Julius Von Kügelgen, Francesco Locatello, Sara Magliacane (2024). A sparsity principle for partially observable causal representation learning. In ICML 2024.

Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius Von Kügelgen, Francesco Locatello (2024). Multi-view causal representation learning with partial observability. In ICLR 2024 (Spotlight).

Danru Xu, Erdun Gao, Wei Huang, Menghan Wang, Andy Song, Mingming Gong (2022). On the Sparse DAG Structure Learning Based on Adaptive Lasso. arXiv preprint arXiv:2209.02946.