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Workshop
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Relational Data Generation with Graph Neural Networks and Latent Diffusion Models
Valter Hudovernik
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Workshop
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MolGen-Transformer: An open-source self-supervised model for Molecular Generation and Latent Space Exploration
Chih-Hsuan Yang · Rebekah Duke · Parker Sornberger · Moses Dominic · Chad Risko · Baskar Ganapathysubramanian
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Workshop
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Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors
Finn Schmidt · Suhas Shrinivasan · Polina Turishcheva · Fabian Sinz
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Workshop
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Sun 9:30
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Surya Ganguli: An analytic theory of creativity in convolutional diffusion models
Surya Ganguli
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Poster
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Wed 16:30
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On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
Jerry Yao-Chieh Hu · Weimin Wu · Zhuoru Li · Sophia Pi · Zhao Song · Han Liu
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Poster
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Wed 11:00
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MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence
Fuming You · Minghui Fang · Li Tang · Rongjie Huang · Yongqi Wang · Zhou Zhao
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Workshop
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Sat 14:30
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3D Multiphase Heterogeneous Microstructure Generation Using Conditional Latent Diffusion Models
Nirmal Baishnab · Ethan Herron · Aditya Balu · Soumik Sarkar · Adarsh Krishnamurthy · Baskar Ganapathysubramanian
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Workshop
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3D Multiphase Heterogeneous Microstructure Generation Using Conditional Latent Diffusion Models
Nirmal Baishnab · Ethan Herron · Aditya Balu · Soumik Sarkar · Adarsh Krishnamurthy · Baskar Ganapathysubramanian
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Workshop
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Sat 16:15
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Improving Source Extraction with Diffusion and Consistency Models
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Workshop
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PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling
Junmyeong Lee · Euijun Hwang · Sukmin Cho · Jong Park
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Invited Talk
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Thu 14:30
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From Diffusion Models to Schrödinger Bridges
Arnaud Doucet
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Poster
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Fri 16:30
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Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
Johannes Treutlein · Dami Choi · Jan Betley · Samuel Marks · Cem Anil · Roger Grosse · Owain Evans
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