Các bài viết có thể truy cập công khai - Minkai XuTìm hiểu thêm
Có tại một số nơi: 15
Learning gradient fields for molecular conformation generation
C Shi, S Luo, M Xu, J Tang
International conference on machine learning, 9558-9568, 2021
Các cơ quan ủy nhiệm: Natural Sciences and Engineering Research Council of Canada
A graph to graphs framework for retrosynthesis prediction
C Shi, M Xu, H Guo, M Zhang, J Tang
International conference on machine learning, 8818-8827, 2020
Các cơ quan ủy nhiệm: Natural Sciences and Engineering Research Council of Canada
Geometric latent diffusion models for 3d molecule generation
M Xu, AS Powers, RO Dror, S Ermon, J Leskovec
International Conference on Machine Learning, 38592-38610, 2023
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Predicting molecular conformation via dynamic graph score matching
S Luo, C Shi, M Xu, J Tang
Advances in neural information processing systems 34, 19784-19795, 2021
Các cơ quan ủy nhiệm: Natural Sciences and Engineering Research Council of Canada
An end-to-end framework for molecular conformation generation via bilevel programming
M Xu, W Wang, S Luo, C Shi, Y Bengio, R Gomez-Bombarelli, J Tang
International conference on machine learning, 11537-11547, 2021
Các cơ quan ủy nhiệm: Natural Sciences and Engineering Research Council of Canada
Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms
L Yang, Z Yu, C Meng, M Xu, S Ermon, CUI Bin
Forty-first International Conference on Machine Learning, 2024
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
When do graph neural networks help with node classification? investigating the homophily principle on node distinguishability
S Luan, C Hua, M Xu, Q Lu, J Zhu, XW Chang, J Fu, J Leskovec, D Precup
Advances in Neural Information Processing Systems 36, 28748-28760, 2023
Các cơ quan ủy nhiệm: Natural Sciences and Engineering Research Council of Canada
Equivariant flow matching with hybrid probability transport for 3d molecule generation
Y Song, J Gong, M Xu, Z Cao, Y Lan, S Ermon, H Zhou, WY Ma
Advances in Neural Information Processing Systems 36, 549-568, 2023
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Coarse-to-fine: a hierarchical diffusion model for molecule generation in 3d
B Qiang, Y Song, M Xu, J Gong, B Gao, H Zhou, WY Ma, Y Lan
International conference on machine learning, 28277-28299, 2023
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
Y Song, M Xu, L Yu, H Zhou, S Shao, Y Yu
The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Cross-modal contextualized diffusion models for text-guided visual generation and editing
L Yang, Z Zhang, Z Yu, J Liu, M Xu, S Ermon, CUI Bin
The Twelfth International Conference on Learning Representations, 2024
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Towards Generalized Implementation of Wasserstein Distance in GANs
M Xu, Z Zhou, G Lu, J Tang, W Zhang, Y Yu
The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), 2020
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Scaling Riemannian diffusion models
A Lou, M Xu, A Farris, S Ermon
Advances in Neural Information Processing Systems 36, 80291-80305, 2023
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Graph and geometry generative modeling for drug discovery
M Xu, M Liu, W Jin, S Ji, J Leskovec, S Ermon
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, US National …
Aligning target-aware molecule diffusion models with exact energy optimization
S Gu, M Xu, A Powers, W Nie, T Geffner, K Kreis, J Leskovec, A Vahdat, ...
Advances in Neural Information Processing Systems 37, 44040-44063, 2024
Các cơ quan ủy nhiệm: Chan Zuckerberg Initiative
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