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31 Results
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Poster
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Tue 2:30 |
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport Jaemoo Choi · Jaewoong Choi · Myungjoo Kang |
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Poster
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Wed 4:30 |
Reducing Balancing Error for Causal Inference via Optimal Transport Yuguang Yan · Hao Zhou · Zeqin Yang · Weilin Chen · Ruichu Cai · Zhifeng Hao |
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Workshop
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Differentiable Cost-Parameterized Monge Map Estimators Samuel Howard · George Deligiannidis · Patrick Rebeschini · James Thornton |
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Workshop
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Efficient 3D Molecular Generation with Flow Matching and Scale Optimal Transport Ross Irwin · Alessandro Tibo · Jon Paul Janet · Simon Olsson |
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Workshop
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Fri 8:00 |
Distributional Preference Alignment of LLMs via Optimal Transport Igor Melnyk · Youssef Mroueh · Brian Belgodere · Mattia Rigotti · Apoorva Nitsure · Mikhail Yurochkin · Kristjan Greenewald · Jiri Navratil · Jarret Ross |
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Workshop
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Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap Théo Uscidda · Luca Eyring · Karsten Roth · Fabian Theis · Zeynep Akata · Marco Cuturi |
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Workshop
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Regularized Distribution Matching Distillation for One-step Unpaired Image-to-Image Translation Denis Rakitin · Ivan Shchekotov · Dmitry Vetrov |
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Poster
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Tue 2:30 |
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport Liangliang Shi · Jack Fan · Junchi Yan |
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Poster
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Thu 2:30 |
OTMatch: Improving Semi-Supervised Learning with Optimal Transport Zhiquan Tan · Kaipeng Zheng · Weiran Huang |
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Poster
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Wed 4:30 |
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer Doron Haviv · Russell Kunes · Thomas Dougherty · Cassandra Burdziak · Tal Nawy · Anna C. Gilbert · Dana Pe'er |
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Workshop
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A framework for differentiable Supervised Graph Prediction Paul KRZAKALA · Junjie Yang · Rémi Flamary · Florence d'Alché-Buc · Charlotte Laclau · Matthieu Labeau |
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Poster
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Thu 2:30 |
Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent Konstantin Donhauser · Javier Abad · Neha Hulkund · Fanny Yang |