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David W. Zhang
David W. Zhang
Sonstige NamenDavid Zhang, Wei David Zhang
Qualcomm AI Research, Qualcomm
Bestätigte E-Mail-Adresse bei qti.qualcomm.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Robust Scheduling with GFlowNets
DW Zhang, C Rainone, M Peschl, R Bondesan
ICLR 2023 - International Conference on Learning Representations, 2023
372023
Self-Guided Diffusion Models
VT Hu*, DW Zhang*, YM Asano, GJ Burghouts, CGM Snoek
CVPR 2023 - Conference on Computer Vision and Pattern Recognition, 2023
262023
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
152023
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
152022
Set Prediction without Imposing Structure as Conditional Density Estimation
DW Zhang, GJ Burghouts, CGM Snoek
ICLR 2021 - International Conference on Learning Representations, 2021
122021
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
112024
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
102024
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
72023
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
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
S Wang, DW Zhang, JH Huang, S Rudinac, M Kackovic, N Wijnberg, ...
arXiv preprint arXiv:2405.13372, 2024
32024
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
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
12023
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
Towards Bridging Classical and Neural Computation through a Read-Eval-Print Loop
DW Zhang, M Defferrard, C Rainone, R Memisevic
ICML 2024 Workshop on LLMs and Cognition, 0
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