Dinghuai Zhang 张鼎怀

Citirano

	Sve	Od 2020.
Citati	3267	3245
H-indeks	23	23
i10-indeks	28	28

1200

600

300

900

201920202021202220232024202516 104 248 542 931 1150 270

Javni pristup

Prikaži sve

7 članaka

0 članaka

dostupno

nije dostupno

Na temelju uvjeta financiranja

Suautori

Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARPotvrđena adresa e-pošte na umontreal.ca
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairPotvrđena adresa e-pošte na umontreal.ca
Zhanxing ZhuAssociate Professor, ECS, University of SouthamptonPotvrđena adresa e-pošte na soton.ac.uk
Ling PanAssistant Professor, Hong Kong University of Science and TechnologyPotvrđena adresa e-pošte na ust.hk
Moksh JainMila, Université de MontréalPotvrđena adresa e-pošte na mila.quebec
Emmanuel BengioMcGill University; Recursion/Valence LabsPotvrđena adresa e-pošte na mail.mcgill.ca
David Scott KruegerUniversity Assistant Professor, University of CambridgePotvrđena adresa e-pošte na cam.ac.uk
Kartik AhujaFAIR, MetaPotvrđena adresa e-pošte na meta.com
Ricky Tian Qi ChenMeta FAIRPotvrđena adresa e-pošte na meta.com
Tianyuan ZhangMITPotvrđena adresa e-pošte na mit.edu
Yiping LuAssistant Professor, Northwestern UniversityPotvrđena adresa e-pošte na northwestern.edu
Bin DongBeijing International Center for Mathematical Research, Peking UniversityPotvrđena adresa e-pošte na math.pku.edu.cn
Jie FuShanghai AI LabPotvrđena adresa e-pošte na lisa.iro.umontreal.ca
Tristan DeleuMila - Universite de MontrealPotvrđena adresa e-pošte na umontreal.ca
Baifeng ShiPhD, UC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Yanzhi ChenUniversity of CambridgePotvrđena adresa e-pošte na cam.ac.uk
Jiaye TengTsinghua UniversityPotvrđena adresa e-pošte na mails.tsinghua.edu.cn

Prati

Dinghuai Zhang 张鼎怀

Ostala imenaDinghuai Zhang

Microsoft Research / Mila

Potvrđena adresa e-pošte na mila.quebec - Početna stranica

Generative Modeling Scientific Discovery Probabilistic Inference


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Out-of-distribution generalization via risk extrapolation (rex) D Krueger, E Caballero, JH Jacobsen, A Zhang, J Binas, D Zhang, ... ICML 2021 Long talk, 2020	1037	2020
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle D Zhang, T Zhang, Y Lu, Z Zhu, B Dong NeurIPS 2019; arXiv preprint arXiv:1905.00877, 2019	500	2019
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization K Ahuja, E Caballero, D Zhang, JC Gagnon-Audet, Y Bengio, I Mitliagkas, ... NeurIPS 2021 spotlight; arXiv preprint arXiv:2106.06607, 2021	299	2021
Biological Sequence Design with GFlowNets M Jain, E Bengio, AH Garcia, J Rector-Brooks, BFP Dossou, C Ekbote, ... ICML 2022; arXiv preprint arXiv:2203.04115, 2022	191	2022
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective B Shi, D Zhang, Q Dai, Z Zhu, Y Mu, J Wang ICML 2020, 2020	126	2020
Generative Flow Networks for Discrete Probabilistic Modeling D Zhang, N Malkin, Z Liu, A Volokhova, A Courville, Y Bengio ICML 2022; arXiv preprint arXiv:2202.01361, 2022	111	2022
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? D Zhang, K Ahuja, Y Xu, Y Wang, A Courville ICML 2021 long talk; arXiv preprint arXiv:2106.02890, 2021	105	2021
GFlowNets and variational inference N Malkin, S Lahlou, T Deleu, X Ji, E Hu, K Everett, D Zhang, Y Bengio ICLR 2023; arXiv preprint arXiv:2210.00580, 2022	90	2022
A theory of continuous generative flow networks S Lahlou, T Deleu, P Lemos, D Zhang, A Volokhova, A Hernández-García, ... ICML 2023; arXiv preprint arXiv:2301.12594, 2023	87	2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets D Zhang, H Dai, N Malkin, A Courville, Y Bengio, L Pan NeurIPS 2023 spotlight; arXiv preprint arXiv:2305.17010, 2023	78*	2023
Black-box certification with randomized smoothing: A functional optimization based framework D Zhang, M Ye, C Gong, Z Zhu, Q Liu NeurIPS 2020, 2020	77	2020
Neural Approximate Sufficient Statistics for Implicit Models Y Chen, D Zhang, M Gutmann, A Courville, Z Zhu ICLR 2021 spotlight; arXiv preprint arXiv:2010.10079, 2020	76	2020
Better training of gflownets with local credit and incomplete trajectories L Pan, N Malkin, D Zhang, Y Bengio ICML 2023; arXiv preprint arXiv:2302.01687, 2023	65	2023
Generative Augmented Flow Networks L Pan, D Zhang, A Courville, L Huang, Y Bengio ICLR 2023 spotlight; arXiv preprint arXiv:2210.03308, 2022	45	2022
Unifying Generative Models with GFlowNets and Beyond D Zhang, RTQ Chen, N Malkin, Y Bengio ICML 2022 Beyond Bayes workshop; arXiv preprint arXiv:2209.02606, 2022	42	2022
Diffusion generative flow samplers: Improving learning signals through partial trajectory optimization D Zhang, RTQ Chen, CH Liu, A Courville, Y Bengio ICLR 2024; arXiv preprint arXiv:2310.02679, 2023	36	2023
Local Search GFlowNets M Kim, T Yun, E Bengio, D Zhang, Y Bengio, S Ahn, J Park ICLR 2024 spotlight; arXiv preprint arXiv:2310.02710, 2023	33	2023
Stochastic Generative Flow Networks L Pan, D Zhang, M Jain, L Huang, Y Bengio UAI 2023 spotlight; arXiv preprint arXiv:2302.09465, 2023	32	2023
Unifying Likelihood-free Inference with Black-box Optimization and Beyond D Zhang, J Fu, Y Bengio, A Courville ICLR 2022 spotlight; arXiv preprint arXiv:2110.03372, 2021	27	2021
PhyloGFN: Phylogenetic inference with generative flow networks M Zhou, Z Yan, E Layne, N Malkin, D Zhang, M Jain, M Blanchette, ... ICLR 2024; arXiv preprint arXiv:2310.08774, 2023	25	2023

Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.

Članci 1–20

Godišnji broj citata

Dvostruki navodi

Spojeni navodi

Dodavanje suautoraSuautori

Prati

Citirano

Suautori