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QuantTPM: Efficient Mixed-Precision Quantization Framework for Tractable Probabilistic Models
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2025, 卷号: PP, 期号: 99
作者:
Shen Zhang
;
Bin Ning
;
Guangyao Yan
;
Xinzhe Liu
;
Weixiong Jiang
Adobe PDF(9186Kb)
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浏览/下载:70/2
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提交时间:2025/03/03
Mixed precision - Mixed precision quantization - Probabilistic inference - Probabilistic models - Product networks - Quantisation - Resource efficiencies - Sum product - Sum-product network - Tractable probabilistic model
Accelerating DWI Data Acquisition: Reconstruction Using Graph-Driven Denoising Diffusion Probabilistic Model
会议论文
2024 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), Athens, Greece, 27-30 May 2024
作者:
Zhongrui Huang
;
Caiwen Jiang
;
Jinchen Gu
;
Xinyi Cai
;
Han Zhang
Adobe PDF(1412Kb)
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浏览/下载:240/9
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提交时间:2024/08/26
Network coding
De-noising
Diffusion model
Diffusion weighted imaging
Fast acquisition
Imaging data
Probabilistic models
Q-Space
Q-space consistency
Reduce time
Time cost
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI
期刊论文
META-RADIOLOGY, 2024
作者:
Fan, Yuheng
;
Liao, Hanxi
;
Huang, Shiqi
;
Luo, Yimin
;
Fu, Huazhu
Adobe PDF(1554Kb)
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浏览/下载:251/14
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提交时间:2024/06/03
Diffusion Probabilistic Models
Score-Based Generative Modeling
MRI
CARDIAC CINE MRI MOTION CORRECTION USING DIFFUSION MODELS
会议论文
21ST INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, Athens, Greece, 27-30 May 2024
作者:
Yang Liu
;
Jiameng Diao
;
Zijian Zhou
;
Haikun Qi
;
Peng Hu
Adobe PDF(17051Kb)
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浏览/下载:328/7
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提交时间:2024/04/08
Contrastive Learning
Deep learning
Diffusion tensor imaging
Gaussian noise (electronic)
Image acquisition
Image denoising
Image sampling
Nuclear magnetic resonance
Self-supervised learning
Semi-supervised learning
Cine magnetic resonance imaging
Corrupted images
De-noising
Diffusion model
Dynamic images
Generative model
Motion artifact
Motion correction
Probabilistic models
Scan time
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction
预印本
2023
作者:
Han, Zeyu
;
Wang, Yuhan
;
Zhou, Luping
;
Wang, Peng
;
Yan, Binyu
Adobe PDF(2482Kb)
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浏览/下载:134/0
|
提交时间:2024/06/03
Positron emission tomography (PET)
PET reconstruction
Diffusion probabilistic models
Contrastive learning
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
会议论文
THE ELEVENTH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (ICLR 2023), Kigali, Rwanda, 2023-5-1
作者:
Hu, Xiang
;
Kong, Xinyu
;
Tu, Ke wei
Adobe PDF(2202Kb)
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浏览/下载:505/0
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提交时间:2023/03/12
Classification (of information)
Computational linguistics
Forecasting
Multilayer neural networks
Network layers
Text processing
Trees (mathematics)
Interpretability
Language model
Layer stacking
Learn+
Network-based
Neural modelling
Probabilistic models
Stacking architecture
Structured language
Text classification
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Vancouver, BC, Canada, October 8, 2023 - October 12, 2023
作者:
Adobe PDF(2482Kb)
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浏览/下载:454/97
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提交时间:2023/11/10
Diffusion
Generative adversarial networks
Image enhancement
Image reconstruction
Iterative methods
Medical imaging
Positrons
Coarse to fine
Contrastive learning
Diffusion probabilistic model
Iterative refinement
Low dose
PET images
Positron emission tomography
Positron emission tomography reconstruction
Probabilistic models
Tomography reconstruction
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs
会议论文
NAACL 2022 - 2022 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES, PROCEEDINGS OF THE CONFERENCE, Seattle, WA, United states, July 10, 2022 - July 15, 2022
作者:
Yang, Songlin
;
Liu, Wei
;
Tu, Kewei
Adobe PDF(547Kb)
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浏览/下载:454/0
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提交时间:2022/10/14
Context free grammars
Context sensitive grammars
Dynamic programming
Formal languages
Modeling languages
Factor graphs
Graph grammar
Hidden-Markov models
Probabilistic context free grammars
Recent researches
Scalings
State-space
Structured modeling
Tensor ranks
Time complexity
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