Phillip Si

According to our database, Phillip Si authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

LEVDA: Latent Ensemble Variational Data Assimilation via Differentiable Dynamics.

Phillip Si, Peng Chen

CoRR, February, 2026

2025

Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data.

Phillip Si, Peng Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations.

Pengpeng Xiao, Phillip Si, Peng Chen

CoRR, 2024

2023

ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning.

Seokmin Choi, Sajad Mousavi, Phillip Si, Haben G. Yhdego, Fatemeh Khadem, Fatemeh Afghah

CoRR, 2023

Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows.

Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov

Proceedings of the International Conference on Machine Learning, 2023

2022

Energy Flows: Towards Determinant-Free Training of Normalizing Flows.

Phillip Si, Volodymyr Kuleshov

CoRR, 2022

Autoregressive Quantile Flows for Predictive Uncertainty Estimation.

Phillip Si, Allan Bishop, Volodymyr Kuleshov

Proceedings of the Tenth International Conference on Learning Representations, 2022