"continuous normalizing flows" Papers

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BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation

Rishal Aggarwal, Jacky Chen, Nicholas Boffi et al.

NeurIPS 2025posterarXiv:2507.00846
3
citations

Linear combinations of latents in generative models: subspaces and beyond

Erik Bodin, Alexandru Stere, Dragos Margineantu et al.

ICLR 2025posterarXiv:2408.08558
6
citations

Path Gradients after Flow Matching

Lorenz Vaitl, Leon Klein

NeurIPS 2025posterarXiv:2505.10139
1
citations

Reflected Flow Matching

Tianyu Xie, Yu Zhu, Longlin Yu et al.

ICML 2024poster