Mandic, Danilo P.

15 publications

NeurIPS 2022 BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu

FnTML 2020 Data Analytics on Graphs Part I: Graphs and Spectra on Graphs Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides

FnTML 2020 Data Analytics on Graphs Part II: Signals on Graphs Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides

FnTML 2020 Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides

NeurIPS 2020 Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic

AAAI 2020 Solving General Elliptical Mixture Models Through an Approximate Wasserstein Manifold Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic

AAAI 2019 Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao

AAAI 2018 Hypergraph P-Laplacian: A Differential Geometry View Shota Saito, Danilo P. Mandic, Hideyuki Suzuki

FnTML 2017 Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 2 Applications and Future Perspectives Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic

FnTML 2016 Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 1 Low-Rank Tensor Decompositions Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic

NeurIPS 2011 Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-bonhage, Andrzej S. Cichocki

NeCo 2004 A Complex-Valued RTRL Algorithm for Recurrent Neural Networks Su Lee Goh, Danilo P. Mandic

NeCo 2002 Data-Reusing Recurrent Neural Adaptive Filters Danilo P. Mandic

NeCo 2000 Relationships Between the a Priori and a Posteriori Errors in Nonlinear Adaptive Neural Filters Danilo P. Mandic, Jonathon A. Chambers

NeCo 1999 Relating the Slope of the Activation Function and the Learning Rate Within a Recurrent Neural Network Danilo P. Mandic, Jonathon A. Chambers