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David W. Zhang
David W. Zhang
Qualcomm AI Research, Qualcomm
Подтвержден адрес электронной почты в домене qti.qualcomm.com - Главная страница
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Процитировано
Процитировано
Год
Robust Scheduling with GFlowNets
DW Zhang, C Rainone, M Peschl, R Bondesan
ICLR 2023 - International Conference on Learning Representations, 2023
332023
Self-Guided Diffusion Models
VT Hu*, DW Zhang*, YM Asano, GJ Burghouts, CGM Snoek
CVPR 2023 - Conference on Computer Vision and Pattern Recognition, 2023
252023
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Y Zhang*, DW Zhang*, S Lacoste-Julien, GJ Burghouts, CGM Snoek
ICLR 2022 - International Conference on Learning Representations, 2022
132022
Latent space editing in transformer-based flow matching
VT Hu, DW Zhang, P Mettes, M Tang, D Zhao, CGM Snoek
AAAI 2024 - Association for the Advancement of Artificial Intelligence, 2023
112023
Set Prediction without Imposing Structure as Conditional Density Estimation
DW Zhang, GJ Burghouts, CGM Snoek
ICLR 2021 - International Conference on Learning Representations, 2021
112021
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
M Kofinas*, B Knyazev, Y Zhang, Y Chen, GJ Burghouts, E Gavves, ...
ICLR 2024 - International Conference on Learning Representations, 2024
82024
Unlocking Slot Attention by Changing Optimal Transport Costs
Y Zhang*, DW Zhang*, S Lacoste-Julien, GJ Burghouts, CGM Snoek
ICML 2023 - International Conference on Machine Learning, 2023
62023
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
N Butt, B Manczak, A Wiggers, C Rainone, D Zhang, M Defferrard, ...
ICML 2024 - International Conference on Machine Learning, 2024
5*2024
Neural Networks Are Graphs! Graph Neural Networks for Equivariant Processing of Neural Networks
DW Zhang, M Kofinas, Y Zhang, Y Chen, GJ Burghouts, CGM Snoek
2nd Annual Topology, Algebra, and Geometry in Machine Learning Workshop at ICML, 2023
42023
Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets
DW Zhang, GJ Burghouts, CGM Snoek
LoG 2022 - Learning on Graphs Conference, 53: 1-53: 18, 2022
4*2022
Improved Generalization of Weight Space Networks via Augmentations
A Shamsian, A Navon, DW Zhang, Y Zhang, E Fetaya, G Chechik, ...
ICML 2024 - International Conference on Machine Learning, 2024
22024
Towards Self-Improving Language Models for Code Generation
M Defferrard, C Rainone, DW Zhang, B Manczak, N Butt, T Cohen
Workshop on Large Language Model (LLM) Agents at ICLR 2024, 2024
2024
Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling
L Heuvel, G Burghouts, DW Zhang, G Englebienne, SB van Rooij
Workshop on Diffusion Models at NeurIPS, 2023
2023
Data Augmentations in Deep Weight Spaces
A Shamsian*, DW Zhang*, A Navon, Y Zhang, M Kofinas, I Achituve, ...
Symmetry and Geometry in Neural Representations Workshop at NeurIPS, 2023
2023
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