Dingling Yao

15 papers A* 5Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers.
ProbNum
Dingling Yao, Filip Tronarp, Nathanael Bosch
2025 J jnl
Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers.
CoRR
Dingling Yao, Filip Tronarp, Nathanael Bosch
2025 A* conf
Scalable Mechanistic Neural Networks.
ICLR
Jiale Chen, Dingling Yao, Adeel Pervez, Dan Alistarh, Francesco Locatello
2025 J jnl
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations.
CoRR
Dingling Yao, Shimeng Huang, Riccardo Cadei, Kun Zhang, Francesco Locatello
2025 A* conf
Unifying Causal Representation Learning with the Invariance Principle.
ICLR
Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello
2024 A* conf
A Sparsity Principle for Partially Observable Causal Representation Learning.
ICML
Danru Xu, Dingling Yao, Sébastien Lachapelle, Perouz Taslakian, Julius von Kügelgen, Francesco Locatello, Sara Magliacane
2024 J jnl
A Sparsity Principle for Partially Observable Causal Representation Learning.
CoRR
Danru Xu, Dingling Yao, Sébastien Lachapelle, Perouz Taslakian, Julius von Kügelgen, Francesco Locatello, Sara Magliacane
2024 A* conf
Marrying Causal Representation Learning with Dynamical Systems for Science.
NeurIPS
Dingling Yao, Caroline Muller, Francesco Locatello
2024 J jnl
Marrying Causal Representation Learning with Dynamical Systems for Science.
CoRR
Dingling Yao, Caroline Muller, Francesco Locatello
2024 A* conf
Multi-View Causal Representation Learning with Partial Observability.
ICLR
Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello
2024 J jnl
Scalable Mechanistic Neural Networks.
CoRR
Jiale Chen, Dingling Yao, Adeel Pervez, Dan Alistarh, Francesco Locatello
2024 J jnl
Unifying Causal Representation Learning with the Invariance Principle.
CoRR
Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello
2023 J jnl
Multi-View Causal Representation Learning with Partial Observability.
CoRR
Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello
2021 — conf
Active Learning in Gaussian Process State Space Model.
ECML/PKDD (3)
Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
2021 J jnl
Active Learning in Gaussian Process State Space Model.
CoRR
Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong