"wasserstein gradient flow" Papers

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Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points

Naoya Yamamoto, Juno Kim, Taiji Suzuki

NeurIPS 2025posterarXiv:2509.16974

Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior

Youngjae Cho, HeeSun Bae, Seungjae Shin et al.

AAAI 2024paperarXiv:2401.06799
9
citations

Minimizing $f$-Divergences by Interpolating Velocity Fields

Song Liu, Jiahao Yu, Jack Simons et al.

ICML 2024poster

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport

Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

ICML 2024poster

Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape

Juno Kim, Taiji Suzuki

ICML 2024poster