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cs.LG2026
Generative Modeling with Flux Matching
Peter Pao-Huang, Xiaojie Qiu, Stefano Ermon
We introduce Flux Matching, a new paradigm for generative modeling that generalizes existing score-based models to a broader family of vector fields that need not be conservative.…
cs.LG2025
Geometric Generative Modeling with Noise-Conditioned Graph Networks
Peter Pao-Huang, Mitchell Black, Xiaojie Qiu
Generative modeling of graphs with spatial structure is essential across many applications from computer graphics to spatial genomics. Recent flow-based generative models have achi…
cs.LG2025
Inferring stochastic dynamics with growth from cross-sectional data
Stephen Zhang, Suryanarayana Maddu, Xiaojie Qiu +1
Time-resolved single-cell omics data offers high-throughput, genome-wide measurements of cellular states, which are instrumental to reverse-engineer the processes underpinning cell…