Autoregressive Quantile Flows for Predictive Uncertainty Estimation. - Phillip Si; Allan Bishop; Volodymyr Kuleshov (ICLR, 2022)

Energy Flows: Towards Determinant-Free Training of Normalizing Flows. - Phillip Si; Volodymyr Kuleshov (CoRR, 2022)

Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows. - Phillip Si; Zeyi Chen; Subham Sekhar Sahoo; Yair Schiff; Volodymyr Kuleshov (ICML, 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)

LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations. - Pengpeng Xiao; Phillip Si; Peng Chen (CoRR, 2024)

Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data. - Phillip Si; Peng Chen (ICLR, 2025)