Yongquan Qu

According to our database, Yongquan Qu authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Incorporating Multivariate Consistency in ML-Based Weather Forecasting with Latent-space Constraints.

Hang Fan, Yi Xiao, Yongquan Qu, Fenghua Ling, Ben Fei, Lei Bai, Pierre Gentine

CoRR, October, 2025

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models.

Yongquan Qu, Matthieu Blanke, Sara Shamekh, Pierre Gentine

CoRR, August, 2025

Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling.

Matthieu Blanke, Yongquan Qu, Sara Shamekh, Pierre Gentine

CoRR, May, 2025

Pipeline-level differentiable programming for the real world.

Andrin Rehmann, Dion Häfner, Alessandro Angioi, Yongquan Qu, Andrei Paleyes

Proceedings of the 24th Python in Science Conference, 2025

2024

Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming.

Yongquan Qu, Mohamed Aziz Bhouri, Pierre Gentine

CoRR, 2024

ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction.

Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke, Aditya Grover, Pierre Gentine

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

Deep Generative Data Assimilation in Multimodal Setting.

Yongquan Qu, Juan Nathaniel, Shuolin Li, Pierre Gentine

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024