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Workshop
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Diffusion Models for Graphs Benefit From Discrete State Spaces
Kilian Haefeli · Karolis Martinkus · Nathanael Perraudin · Roger Wattenhofer
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Workshop
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Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Chunhui Zhang · Chao Huang · Yijun Tian · Qianlong Wen · Zhongyu Ouyang · Youhuan Li · Yanfang Ye · Chuxu Zhang
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Poster
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EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Min Zhao · Fan Bao · Chongxuan LI · Jun Zhu
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Workshop
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Probabilistic Mixture Modeling For End-Member Extraction in Hyperspectral Data
Oliver Hoidn · Aashwin Mishra · Apurva Mehta
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Poster
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Thu 14:00
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Hiding Images in Deep Probabilistic Models
Haoyu Chen · Linqi Song · Zhenxing Qian · Xinpeng Zhang · Kede Ma
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Workshop
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Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand · Tudor Achim
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Poster
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Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Yan Li · Xinjiang Lu · Yaqing Wang · Dejing Dou
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Poster
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Wed 14:00
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BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Yichong Leng · Zehua Chen · Junliang Guo · Haohe Liu · Jiawei Chen · Xu Tan · Danilo Mandic · Lei He · Xiangyang Li · Tao Qin · sheng zhao · Tie-Yan Liu
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Poster
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Tue 14:00
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Gaussian Copula Embeddings
Chien Lu · Jaakko Peltonen
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Workshop
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Sat 7:15
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Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand · Tudor Achim
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Poster
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Wed 14:00
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Hedging as Reward Augmentation in Probabilistic Graphical Models
Debarun Bhattacharjya · Radu Marinescu
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Poster
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Wed 9:00
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A Variational Edge Partition Model for Supervised Graph Representation Learning
Yilin He · Chaojie Wang · Hao Zhang · Bo Chen · Mingyuan Zhou
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