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RNA Secondary Structure Prediction By Learning Unrolled Algorithms

RNA Secondary Structure Prediction By Learning Unrolled Algorithms

13 February 2020
Xinshi Chen
Yu Li
Ramzan Umarov
Xin Gao
Le Song
    SyDa
    AI4TS
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Papers citing "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"

12 / 12 papers shown
Title
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Junjie Xu
Artem Moskalev
Tommaso Mansi
Mangal Prakash
Rui Liao
AI4CE
26
1
0
15 Oct 2024
Scalable Deep Learning for RNA Secondary Structure Prediction
Scalable Deep Learning for RNA Secondary Structure Prediction
Jörg Franke
Frederic Runge
Frank Hutter
DRL
13
10
0
14 Jul 2023
uGLAD: Sparse graph recovery by optimizing deep unrolled networks
uGLAD: Sparse graph recovery by optimizing deep unrolled networks
H. Shrivastava
Urszula Chajewska
Robin Abraham
Xinshi Chen
39
8
0
23 May 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability
Symbolic Learning to Optimize: Towards Interpretability and Scalability
Wenqing Zheng
Tianlong Chen
Ting-Kuei Hu
Zhangyang Wang
45
19
0
13 Mar 2022
Probability estimation and structured output prediction for learning
  preferences in last mile delivery
Probability estimation and structured output prediction for learning preferences in last mile delivery
Rocsildes Canoy
Víctor Bucarey
Yves Molenbruch
Maxime Mulamba
Jayanta Mandi
Tias Guns
8
7
0
25 Jan 2022
ModelPred: A Framework for Predicting Trained Model from Training Data
ModelPred: A Framework for Predicting Trained Model from Training Data
Yingyan Zeng
Jiachen T. Wang
Si-An Chen
H. Just
Ran Jin
R. Jia
TDI
MU
33
2
0
24 Nov 2021
CLMB: deep contrastive learning for robust metagenomic binning
CLMB: deep contrastive learning for robust metagenomic binning
Pengfei Zhang
Zhengyuan Jiang
Yixuan Wang
Yu Li
29
11
0
18 Nov 2021
Protein-RNA interaction prediction with deep learning: Structure matters
Protein-RNA interaction prediction with deep learning: Structure matters
Junkang Wei
Siyuan Chen
Licheng Zong
Xin Gao
Yu Li
AI4CE
22
55
0
26 Jul 2021
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
W. Yin
40
225
0
23 Mar 2021
Neural representation and generation for RNA secondary structures
Neural representation and generation for RNA secondary structures
Zichao Yan
William L. Hamilton
Mathieu Blanchette
40
2
0
01 Feb 2021
Training Stronger Baselines for Learning to Optimize
Training Stronger Baselines for Learning to Optimize
Tianlong Chen
Weiyi Zhang
Jingyang Zhou
Shiyu Chang
Sijia Liu
Lisa Amini
Zhangyang Wang
OffRL
25
51
0
18 Oct 2020
Review of Machine-Learning Methods for RNA Secondary Structure
  Prediction
Review of Machine-Learning Methods for RNA Secondary Structure Prediction
Qi Zhao
Zheng Zhao
Xiaoya Fan
Zhengwei Yuan
Qian Mao
Yudong Yao
4
61
0
01 Sep 2020
1