Publications

Kailen Hargenrader, Edoardo Calvello, Bohan Chen (2026). Attention Kernels for Learning Maps Between Heavy-Tailed Measures. NeurIPS 2026 Workshop on AI for Stochastic Dynamics (accepted).
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Bohan Chen, Shivam N. Patel, Richard Hoffmann, Sam Looi, Tony Yue Yu (2026). Learning to Coordinate Symbolic Tools: LLM Agents for Verified Sum-of-Squares Certificates. arXiv, arXiv:2608.00326.
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Abbas Mammadov, So Takao, Bohan Chen, Ricardo Baptista, Morteza Mardani, Yee Whye Teh, Julius Berner (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.
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Eviatar Bach, Ricardo Baptista, Jochen Bröcker, Bohan Chen, Andrew Stuart (2026). Learning Probabilistic Filters with Strictly Proper Scoring Rules. Submitted to the Journal of Machine Learning Research.
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Taos Transue, Bohan Chen, So Takao, Bao Wang (2026). Flow Matching for Efficient and Scalable Data Assimilation. SIAM/ASA Journal on Uncertainty Quantification (accepted for publication).
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Eviatar Bach, Ricardo Baptista, Edoardo Calvello, Bohan Chen, Andrew Stuart (2026). Learning Enhanced Ensemble Filters. Journal of Computational Physics, 547, 114550.
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Bohan Chen, Kevin Miller, Andrea L. Bertozzi, Jon Schwenk (2025). 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.
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Jason Brown, Bohan Chen, Harris Hardiman-Mostow, Jeff Calder, Andrea L. Bertozzi (2024). GLL: A Differentiable Graph Learning Layer for Neural Networks. arXiv.
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Kurt Solander, Jonathon P. Schwenk, Jemma Stachelek, Evan Thaler, Lawrence M. Vulis, Bohan Chen, Charles Abolt, Lauren Thomas, Eve I. Gasarch, Joel C. Rowland, Adam Collins, Maggie Farley, Travis Pitts (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.
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Xinyi Leng, Jason Liang, Jack Mauro, Xu Wang, James Chapman, Andrea L. Bertozzi, Junyuan Lin, Bohan Chen, Chenchen Ye, Temple Daniel, P. Jeffrey Brantingham (2024). Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models. Graph Techniques for Adversarial Activity Analytics (GTA3) Workshop at ACM CIKM 2024.
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