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Dinghuai Zhang

Unifying Generative Models with GFlowNets

Sep 06, 2022
Dinghuai Zhang, Ricky T. Q. Chen, Nikolay Malkin, Yoshua Bengio

* Accepted to ICML 2022 Beyond Bayes workshop

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Building Robust Ensembles via Margin Boosting

Jun 07, 2022
Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala

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* Accepted by ICML 2022

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Biological Sequence Design with GFlowNets

Mar 02, 2022
Moksh Jain, Emmanuel Bengio, Alex-Hernandez Garcia, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ekbote, Jie Fu, Tianyu Zhang, Micheal Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio

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* 15 pages, 3 figures. Code available at: https://github.com/MJ10/BioSeq-GFN-AL

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Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond

Oct 06, 2021
Dinghuai Zhang, Jie Fu, Yoshua Bengio, Aaron Courville

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Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?

Jun 05, 2021
Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron Courville

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* Accepted to ICML2021 as long talk

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Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

Aug 10, 2020
Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang

* Accepted to ICML2020. Code is available at https://github.com/bfshi/InfoDrop

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