Dingling Yao

According to our database, Dingling Yao authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations.

Dingling Yao, Shimeng Huang, Riccardo Cadei, Kun Zhang, Francesco Locatello

CoRR, May, 2025

Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers.

Dingling Yao, Filip Tronarp, Nathanael Bosch

CoRR, March, 2025

Unifying Causal Representation Learning with the Invariance Principle.

Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Scalable Mechanistic Neural Networks.

Jiale Chen, Dingling Yao, Adeel Pervez, Dan Alistarh, Francesco Locatello

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Marrying Causal Representation Learning with Dynamical Systems for Science.

Dingling Yao, Caroline Muller, Francesco Locatello

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Sparsity Principle for Partially Observable Causal Representation Learning.

Danru Xu, Dingling Yao, Sébastien Lachapelle, Perouz Taslakian, Julius von Kügelgen, Francesco Locatello, Sara Magliacane

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multi-View Causal Representation Learning with Partial Observability.

Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2021

Active Learning in Gaussian Process State Space Model.

Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021