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David W. Zhang
David W. Zhang
Otros nombresDavid Zhang
Qualcomm AI Research, Qualcomm
Dirección de correo verificada de qti.qualcomm.com - Página principal
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Año
Robust Scheduling with GFlowNets
DW Zhang, C Rainone, M Peschl, R Bondesan
International Conference on Learning Representations (ICLR), 2023
262023
Self-Guided Diffusion Models
VT Hu*, DW Zhang*, YM Asano, GJ Burghouts, CGM Snoek
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
222023
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Y Zhang*, DW Zhang*, S Lacoste-Julien, GJ Burghouts, CGM Snoek
International Conference on Learning Representations (ICLR), 2022
112022
Latent space editing in transformer-based flow matching
VT Hu, DW Zhang, P Mettes, M Tang, D Zhao, CGM Snoek
Association for the Advancement of Artificial Intelligence (AAAI), 2023
102023
Set Prediction without Imposing Structure as Conditional Density Estimation
DW Zhang, GJ Burghouts, CGM Snoek
International Conference on Learning Representations (ICLR), 2021
102021
Unlocking Slot Attention by Changing Optimal Transport Costs
Y Zhang*, DW Zhang*, S Lacoste-Julien, GJ Burghouts, CGM Snoek
International Conference on Machine Learning (ICML), 2023
52023
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
Learning on Graphs Conference (LoG), 53: 1-53: 18, 2022
3*2022
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
M Kofinas*, B Knyazev, Y Zhang, Y Chen, GJ Burghouts, E Gavves, ...
International Conference on Learning Representations (ICLR), 2024
12024
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
N Butt, B Manczak, A Wiggers, C Rainone, D Zhang, M Defferrard, ...
arXiv preprint arXiv:2402.04858, 2024
2024
Improved Generalization of Weight Space Networks via Augmentations
A Shamsian, A Navon, DW Zhang, Y Zhang, E Fetaya, G Chechik, ...
arXiv preprint arXiv:2402.04081, 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
Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling
L van den Heuvel, G Burghouts, DW Zhang, G Englebienne, SB van Rooij
arXiv e-prints, arXiv: 2312.12000, 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
CodeIt: Abstract Reasoning with Iterative Policy-Guided Program Synthesis
N Butt, B Manczak, A Wiggers, C Rainone, DW Zhang, M Defferrard, ...
2023
Towards Self-Improving Language Models for Code Generation
M Defferrard, C Rainone, DW Zhang, B Manczak, N Butt, T Cohen
ICLR 2024 Workshop on Large Language Model (LLM) Agents, 0
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Artículos 1–16