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David W. Zhang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

8

Venues

3

Active years

2021–2024

Best venue rank

A*

Where they publish

Papers

8 indexed papers, newest first.

YearVenueTitleAuthors
2024ICLRGraph Neural Networks for Learning Equivariant Representations of Neural Networks.Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang
2024ICMLCodeIt: Self-Improving Language Models with Prioritized Hindsight Replay.Natasha Butt, Blazej Manczak, Auke J. Wiggers, Corrado Rainone, David W. Zhang, Michal Defferrard, Taco Cohen
2024ICMLImproved Generalization of Weight Space Networks via Augmentations.Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron
2023CVPRSelf-Guided Diffusion Models.Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
2023ICLRRobust Scheduling with GFlowNets.David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan
2023ICMLUnlocking Slot Attention by Changing Optimal Transport Costs.Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek
2022ICLRMultiset-Equivariant Set Prediction with Approximate Implicit Differentiation.Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek
2021ICLRSet Prediction without Imposing Structure as Conditional Density Estimation.David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek