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Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs

Feb 19, 2021
Yibo Yang, Antoine Blanchard, Themistoklis Sapsis, Paris Perdikaris

* 10 pages, 4 figures, 1 table 

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Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search

Jan 27, 2021
Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin

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Explicitly Learning Topology for Differentiable Neural Architecture Search

Nov 18, 2020
Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang

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Hierarchical Autoregressive Modeling for Neural Video Compression

Oct 19, 2020
Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt

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ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

Oct 13, 2020
Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin

* NeurIPS 2020 

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Improving Inference for Neural Image Compression

Jun 09, 2020
Yibo Yang, Robert Bamler, Stephan Mandt

* 8 pages + detailed supplement with additional qualitative and quantitative results 

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Bayesian differential programming for robust systems identification under uncertainty

Apr 18, 2020
Yibo Yang, Mohamed Aziz Bhouri, Paris Perdikaris

* 22 pages, 12 figures 

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Spatial Pyramid Based Graph Reasoning for Semantic Segmentation

Mar 23, 2020
Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu

* CVPR 2020 

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Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding

Feb 18, 2020
Yibo Yang, Robert Bamler, Stephan Mandt

* 8 pages + detailed supplement with additional full resolution reconstructed images 

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Lifted Hybrid Variational Inference

Feb 08, 2020
Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi

* AAAI 2020 Workshop on Statistical Relational AI (StarAI 2020) 

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Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families

Nov 23, 2019
Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin

* AAAI-20 

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SOGNet: Scene Overlap Graph Network for Panoptic Segmentation

Nov 18, 2019
Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin

* To appear in AAAI 2020. Our method also won the Innovation Award in COCO 2019 challenge 

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Expectation-Maximization Attention Networks for Semantic Segmentation

Aug 16, 2019
Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu

* In Proceedings of International Conference in Computer Vision (ICCV), 2019. Oral 

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Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning

May 13, 2019
Georgios Kissas, Yibo Yang, Eileen Hwuang, Walter R. Witschey, John A. Detre, Paris Perdikaris

* 26 pages, 12 figures 

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Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems

Jan 15, 2019
Yibo Yang, Paris Perdikaris

* 37 pages, 11 figures, Submitted to Computational Mechanics 

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Physics-informed deep generative models

Dec 09, 2018
Yibo Yang, Paris Perdikaris

* Accepted by the NIPS workshop 2018 of Bayesian Deep Learning. arXiv admin note: text overlap with arXiv:1811.04026 

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Adversarial Uncertainty Quantification in Physics-Informed Neural Networks

Nov 09, 2018
Yibo Yang, Paris Perdikaris

* This paper has been submitted to Journal of Computational Physics. 33 pages, 7 figures 

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Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution

Oct 25, 2018
Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang

* Accepted in NIPS 2018 

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Optimization Algorithm Inspired Deep Neural Network Structure Design

Oct 03, 2018
Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin

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Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization

Jun 14, 2018
Yibo Yang, Nicholas Ruozzi, Vibhav Gogate

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Convolutional Neural Networks with Alternately Updated Clique

Apr 03, 2018
Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin

* Accepted in CVPR 2018 as Oral presentation. Code available at 

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