Publications

(2026). Variational Flow Maps: Make Some Noise for One-Step Conditional Generation. Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), PMLR 306.
(2026). Learning Probabilistic Filters with Strictly Proper Scoring Rules. Submitted to the Journal of Machine Learning Research.
(2026). Flow Matching for Efficient and Scalable Data Assimilation. SIAM/ASA Journal on Uncertainty Quantification (accepted for publication).
(2026). Learning Enhanced Ensemble Filters. Journal of Computational Physics, 547, 114550.
(2024). GLL: A Differentiable Graph Learning Layer for Neural Networks. arXiv.
(2024). The CommUnity near-Surface Permafrost (CUSP) dataset a global compilation of permafrost observations and related properties to support AI/ML model development. AGU Fall Meeting Abstracts.
(2024). Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models. Proceedings of ACM Conference (GTA3 Workshop at the 33rd ACM International Conference on Information and Knowledge Management, 2024).
(2024). CGAP: A Hybrid Contrastive and Graph-based Active Learning Pipeline to Detect Water and Sediment in Multispectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 446–462.
(2024). Batch Active Learning for Multispectral and Hyperspectral Image Segmentation Using Similarity Graphs. Communications on Applied Mathematics and Computation.
(2023). AutoKG: Efficient Automated Knowledge Graph Generation for Language Models. 2023 IEEE International Conference on Big Data (BigData).