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David W. Zhang
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2020 – today
- 2024
- [c11]Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang:
Graph Neural Networks for Learning Equivariant Representations of Neural Networks. ICLR 2024 - [c10]Natasha Butt, Blazej Manczak, Auke J. Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen:
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay. ICML 2024 - [c9]Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron:
Improved Generalization of Weight Space Networks via Augmentations. ICML 2024 - [i13]Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron:
Improved Generalization of Weight Space Networks via Augmentations. CoRR abs/2402.04081 (2024) - [i12]Natasha Butt, Blazej Manczak, Auke J. Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen:
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay. CoRR abs/2402.04858 (2024) - [i11]Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang:
Graph Neural Networks for Learning Equivariant Representations of Neural Networks. CoRR abs/2403.12143 (2024) - [i10]Shuai Wang, David W. Zhang, Jia-Hong Huang, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring:
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks. CoRR abs/2405.13372 (2024) - 2023
- [c8]Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek:
Self-Guided Diffusion Models. CVPR 2023: 18413-18422 - [c7]David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan:
Robust Scheduling with GFlowNets. ICLR 2023 - [c6]Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Unlocking Slot Attention by Changing Optimal Transport Costs. ICML 2023: 41931-41951 - [i9]Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Unlocking Slot Attention by Changing Optimal Transport Costs. CoRR abs/2301.13197 (2023) - [i8]David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan:
Robust Scheduling with GFlowNets. CoRR abs/2302.05446 (2023) - [i7]Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas
, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron:
Data Augmentations in Deep Weight Spaces. CoRR abs/2311.08851 (2023) - [i6]Vincent Tao Hu, David W. Zhang, Pascal Mettes, Meng Tang, Deli Zhao, Cees G. M. Snoek:
Latent Space Editing in Transformer-Based Flow Matching. CoRR abs/2312.10825 (2023) - [i5]Leander van den Heuvel, Gertjan J. Burghouts, David W. Zhang, Gwenn Englebienne, Sabina B. van Rooij:
Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling. CoRR abs/2312.12000 (2023) - 2022
- [c5]Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. ICLR 2022 - [c4]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Pruning Edges and Gradients to Learn Hypergraphs From Larger Sets. LoG 2022: 53 - [i4]Vincent Tao Hu, David W. Zhang
Self-Guided Diffusion Models. CoRR abs/2210.06462 (2022) - 2021
- [c3]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Set Prediction without Imposing Structure as Conditional Density Estimation. ICLR 2021 - [i3]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Recurrently Predicting Hypergraphs. CoRR abs/2106.13919 (2021) - [i2]Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek:
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. CoRR abs/2111.12193 (2021) - 2020
- [i1]David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek:
Set Prediction without Imposing Structure as Conditional Density Estimation. CoRR abs/2010.04109 (2020)
2010 – 2019
- 2012
- [c2]Yanan Fu, David W. Zhang, Haiying Liu, Max Q.-H. Meng:
3-D shape recovery of luminal wall from WCE image. ICAL 2012: 300-303 - [c1]Teng Li, David W. Zhang, Yanan Fu, Max Q.-H. Meng:
Motion blur removal for humanoid robots. ICAL 2012: 378-381 - 2011
- [j1]Yanan Fu, Mrinal Mandal, David W. Zhang, Max Q.-H. Meng:
Storyboard of WCE Video Extraction Based on Frame difference. Int. J. Inf. Acquis. 8(4): 315- (2011)
Coauthor Index
aka: Cees G. M. Snoek
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last updated on 2024-10-09 20:28 CEST by the dblp team
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