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GNeuralFlow
GNeuralFlow Public[NeurIPS 2024] Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
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Aalto-QuML/Diffusion_twigs
Aalto-QuML/Diffusion_twigs Public[NeurIPS 2024] Diffusion Twigs with Loop Guidance for Conditional Graph Generation
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MING
MING PublicForked from v18nguye/MING
[AISTATS 25] MING: A Functional Approach to Learning Molecular Generative Models
Python
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DMML-Geneva/VGB-DM
DMML-Geneva/VGB-DM PublicVariational Grey-Box Dynamic Matching: a training simulation-free variational grey-box framework for learning dynamical systems, flow matching, directly from trajectory data, with flow/gradient mat…
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