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Workshop
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Unsupervised Ground Metric Learning with Tree Wasserstein Distance
Kira Düsterwald · Makoto Yamada
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Workshop
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On Conditional Sampling with Joint Flow Matching
Amy Xiang Wang
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Poster
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Thu 2:30
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Optimal Transport for Structure Learning Under Missing Data
Vy Vo · He Zhao · Trung Le · Edwin V. Bonilla · Dinh Phung
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Workshop
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Navigating Chemical Space with Latent Flows
Guanghao Wei · Yining Huang · Chenru Duan · Yue Song · Yuanqi Du
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Poster
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Thu 4:30
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Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
Vy Vo · Trung Le · Tung-Long Vuong · He Zhao · Edwin V. Bonilla · Dinh Phung
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Poster
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Tue 4:30
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Generative Conditional Distributions by Neural (Entropic) Optimal Transport
Bao Nguyen · Binh Nguyen · Trung Hieu Nguyen · Viet Anh Nguyen
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Poster
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Wed 4:30
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Nonlinear Filtering with Brenier Optimal Transport Maps
Mohammad Al-Jarrah · Niyizhen Jin · Bamdad Hosseini · Amirhossein Taghvaei
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Workshop
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Better Structure- and Function-Aware Substitution Matrices via Differentiable Graph Matching
Paolo Pellizzoni · Carlos Oliver · Karsten Borgwardt
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Poster
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Tue 2:30
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GiLOT: Interpreting Generative Language Models via Optimal Transport
Xuhong Li · Jiamin Chen · Yekun Chai · Haoyi Xiong
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Poster
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Tue 2:30
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Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
Jaemoo Choi · Jaewoong Choi · Myungjoo Kang
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Workshop
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Sat 2:05
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Ananda Theertha Suresh (Google Research): Accelerating language model inference using optimal transport: Theory and algorithms
Ananda Suresh
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Workshop
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Marginal Fairness Sliced Wasserstein Barycenter
Khai Nguyen · Hai Nguyen · Nhat Ho
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