"probabilistic generative models" Papers

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A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.

AAAI 2025paperarXiv:2412.15582
3
citations

Learning to Scale Logits for Temperature-Conditional GFlowNets

Minsu Kim, Joohwan Ko, Taeyoung Yun et al.

ICML 2024arXiv:2310.02823
29
citations