David W. Zhang

28 papers A* 8Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula. CoRR Cansu Sancaktar, David W. Zhang, Gabriel Synnaeve, Taco Cohen
2025	J	`jnl`	RL-finetuning LLMs from on- and off-policy data with a single algorithm. CoRR Yunhao Tang, Taco Cohen, David W. Zhang, Michal Valko, Rémi Munos
2025	J	`jnl`	Soft Policy Optimization: Online Off-Policy RL for Sequence Models. CoRR Taco Cohen, David W. Zhang, Kunhao Zheng, Yunhao Tang, Rémi Munos, Gabriel Synnaeve
2024	J	`jnl`	Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks. CoRR Shuai Wang, David W. Zhang, Jia-Hong Huang, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring
2024	A*	`conf`	CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay. ICML Natasha Butt, Blazej Manczak, Auke J. Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen
2024	J	`jnl`	CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay. CoRR Natasha Butt, Blazej Manczak, Auke J. Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen
2024	A*	`conf`	Graph Neural Networks for Learning Equivariant Representations of Neural Networks. ICLR Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang
2024	J	`jnl`	Graph Neural Networks for Learning Equivariant Representations of Neural Networks. CoRR Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang
2024	A*	`conf`	Improved Generalization of Weight Space Networks via Augmentations. ICML Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron
2024	J	`jnl`	Improved Generalization of Weight Space Networks via Augmentations. CoRR Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron
2023	J	`jnl`	Data Augmentations in Deep Weight Spaces. CoRR 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
2023	J	`jnl`	Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling. CoRR Leander van den Heuvel, Gertjan J. Burghouts, David W. Zhang, Gwenn Englebienne, Sabina B. van Rooij
2023	J	`jnl`	Latent Space Editing in Transformer-Based Flow Matching. CoRR Vincent Tao Hu, David W. Zhang, Pascal Mettes, Meng Tang, Deli Zhao, Cees G. M. Snoek
2023	A*	`conf`	Robust Scheduling with GFlowNets. ICLR David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan
2023	J	`jnl`	Robust Scheduling with GFlowNets. CoRR David W. Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan
2023	A*	`conf`	Self-Guided Diffusion Models. CVPR Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
2023	A*	`conf`	Unlocking Slot Attention by Changing Optimal Transport Costs. ICML Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek
2023	J	`jnl`	Unlocking Slot Attention by Changing Optimal Transport Costs. CoRR Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek
2022	A*	`conf`	Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. ICLR Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek
2022	—	`conf`	Pruning Edges and Gradients to Learn Hypergraphs From Larger Sets. LoG David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
2022	J	`jnl`	Self-Guided Diffusion Models. CoRR Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
2021	J	`jnl`	Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. CoRR Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek
2021	J	`jnl`	Recurrently Predicting Hypergraphs. CoRR David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
2021	A*	`conf`	Set Prediction without Imposing Structure as Conditional Density Estimation. ICLR David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
2020	J	`jnl`	Set Prediction without Imposing Structure as Conditional Density Estimation. CoRR David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
2012	—	`conf`	3-D shape recovery of luminal wall from WCE image. ICAL Yanan Fu, David W. Zhang, Haiying Liu, Max Q.-H. Meng
2012	—	`conf`	Motion blur removal for humanoid robots. ICAL Teng Li, David W. Zhang, Yanan Fu, Max Q.-H. Meng
2011	J	`jnl`	Storyboard of WCE Video Extraction Based on Frame difference. Int. J. Inf. Acquis. Yanan Fu, Mrinal Mandal, David W. Zhang, Max Q.-H. Meng