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Reciprocal Adversarial Learning via Characteristic Functions



Shengxi Li , Zeyang Yu , Min Xiang , Danilo Mandic


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A general solver to the elliptical mixture model through an approximate Wasserstein manifold



Shengxi Li , Zeyang Yu , Min Xiang , Danilo Mandic


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Tucker Tensor Layer in Fully Connected Neural Networks



Giuseppe G. Calvi , Ahmad Moniri , Mahmoud Mahfouz , Zeyang Yu , Qibin Zhao , Danilo P. Mandic


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Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models



Zeyang Yu , Shengxi Li , Danilo Mandic


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Artificial Intelligence for Prosthetics - challenge solutions



Łukasz Kidziński , Carmichael Ong , Sharada Prasanna Mohanty , Jennifer Hicks , Sean F. Carroll , Bo Zhou , Hongsheng Zeng , Fan Wang , Rongzhong Lian , Hao Tian , Wojciech Jaśkowski , Garrett Andersen , Odd Rune Lykkebø , Nihat Engin Toklu , Pranav Shyam , Rupesh Kumar Srivastava , Sergey Kolesnikov , Oleksii Hrinchuk , Anton Pechenko , Mattias Ljungström , Zhen Wang , Xu Hu , Zehong Hu , Minghui Qiu , Jun Huang , Aleksei Shpilman , Ivan Sosin , Oleg Svidchenko , Aleksandra Malysheva , Daniel Kudenko , Lance Rane , Aditya Bhatt , Zhengfei Wang , Penghui Qi , Zeyang Yu , Peng Peng , Quan Yuan , Wenxin Li , Yunsheng Tian , Ruihan Yang , Pingchuan Ma , Shauharda Khadka , Somdeb Majumdar , Zach Dwiel , Yinyin Liu , Evren Tumer , Jeremy Watson , Marcel Salathé , Sergey Levine , Scott Delp


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A universal framework for learning based on the elliptical mixture model (EMM)



Shengxi Li , Zeyang Yu , Danilo P. Mandic


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