Leo J Lee — accepted AI-conference papers

2025

Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J Lee, Yoshua Bengio +2

ICLR 2025poster

Numerous biological and physical processes can be modeled as systems of interacting entities evolving continuously over time, e.g. the dynamics of communicating cells or physical particles. Learning the dynamics of such systems is essential for predicting the temporal evolution of populations across…

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2023

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

Lazar Atanackovic, Alexander Tong, BO WANG, Leo J Lee, Yoshua Bengio, Jason Hartford

NeurIPS 2023poster

One of the grand challenges of cell biology is inferring the gene regulatory network (GRN) which describes interactions between genes and their products that control gene expression and cellular function. We can treat this as a causal discovery problem but with two non-standard challenges: (1) regul…

Cited by 19 Source ↗PDF ↗code ↗Scholar ↗