Publications

Neural Networks Are Graphs! Graph Neural Networks for Equivariant Processing of Neural Networks
David W. Zhang, Miltiadis Kofinas, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Cees G. M. Snoek
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Unlocking Slot Attention by Changing Optimal Transport Costs
Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek
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Self-Guided Diffusion Models
Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
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Robust Scheduling with GFlowNets
David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan
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Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek
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Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets
David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
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Set Prediction without Imposing Structure as Conditional Density Estimation
David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
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