Anh Tuân Phan

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All published works

Action	Title	Year	Authors
+	RNA alternative splicing prediction with discrete compositional energy network	2021	Alvin Chan Anna Korsakova Yew-Soon Ong Fernaldo Richtia Winnerdy Kah Wai Lim Anh Tuân Phan
+	RNA Alternative Splicing Prediction with Discrete Compositional Energy Network	2021	Alvin Chan Anna Korsakova Yew-Soon Ong Fernaldo Richtia Winnerdy Kah Wai Lim Anh Tuân Phan

Common Coauthors

Coauthor	Papers Together
Alvin Chan	2
Anna Korsakova	2
Kah Wai Lim	2
Fernaldo Richtia Winnerdy	2
Yew-Soon Ong	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	A Theory of Generative ConvNet	2016	Jianwen Xie Yang Lu Song‐Chun Zhu Ying Wu	1
+	Learning Neural Random Fields with Inclusive Auxiliary Generators	2018	Yunfu Song Zhijian Ou	1
+	Implicit Generation and Generalization in Energy-Based Models.	2019	Yilun Du Igor Mordatch	1
+	Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model	2019	Erik Nijkamp Mitch Hill Song‐Chun Zhu Ying Wu	1
+	A Theory of Generative ConvNet	2016	Jianwen Xie Yang Lu Song‐Chun Zhu Ying Wu	1
+	Reinforcement Learning with Deep Energy-Based Policies	2017	Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine	1
+	Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One	2019	Will Grathwohl Kuan-Chieh Wang Jörn-Henrik Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky	1
+	Energy-based models for atomic-resolution protein conformations	2020	Yilun Du Joshua Meier Jerry Ma Rob Fergus Alexander Rives	1