Ke Sun

CoRR, 2024

2023

A Note on "Secure Quantized Training for Deep Learning".

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

Non-linear Embeddings in Hilbert Simplex Geometry.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2023

Transformed Distribution Matching for Missing Value Imputation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Secure Quantized Training for Deep Learning.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2022

Fair Wrapping for Black-box Predictions.

[BibT_eX]

[DOI]

Alexander Soen

Ibrahim M. Alabdulmohsin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

q-Neurons: Neuron Activations Based on Stochastic Jackson's Derivative Operators.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

High-order Tensor Pooling with Attention for Action Recognition.

[BibT_eX]

[DOI]

Piotr Koniusz

Lei Wang

CoRR, 2021

Contrastive Laplacian Eigenmaps.

[BibT_eX]

[DOI]

Hao Zhu

Peter Koniusz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Variance of the Fisher Information for Deep Learning.

[BibT_eX]

[DOI]

Alexander Soen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

GraPASA: Parametric graph embedding via siamese architecture.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Effectiveness of MPC-friendly Softmax Replacement.

[BibT_eX]

[DOI]

CoRR, 2020

2019

A Note on Our Submission to Track 4 of iDASH 2019.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2019

Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions.

[BibT_eX]

[DOI]

CoRR, 2019

Lightlike Neuromanifolds, Occam's Razor and Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Fisher-Bures Adversary Graph Convolutional Networks.

[BibT_eX]

[DOI]

Piotr Koniusz

Zhen Wang

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Non-Euclidean Embeddings for Graph Analytics and Visualisation.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2019 Posters, 2019

2018

On The Chain Rule Optimal Transport Distance.

[BibT_eX]

[DOI]

CoRR, 2018

Intrinsic Universal Measurements of Non-linear Embeddings.

[BibT_eX]

[DOI]

CoRR, 2018

Representation Learning of Compositional Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Guaranteed Deterministic Bounds on the total variation Distance between univariate mixtures.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Mining top-k Popular Datasets via a Deep Generative Model.

[BibT_eX]

[DOI]

Uchenna Akujuobi

Xiangliang Zhang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

On Hölder Projective Divergences.

[BibT_eX]

[DOI]

Entropy, 2017

Coarse Grained Exponential Variational Autoencoders.

[BibT_eX]

[DOI]

Xiangliang Zhang

CoRR, 2017

Clustering in Hilbert simplex geometry.

[BibT_eX]

[DOI]

CoRR, 2017

Relative Fisher Information and Natural Gradient for Learning Large Modular Models.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Combinatorial bounds on the α-divergence of univariate mixture models.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

k-Means Clustering with Hölder Divergences.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016

Guaranteed Bounds on the Kullback-Leibler Divergence of Univariate Mixtures.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

Guaranteed Bounds on Information-Theoretic Measures of Univariate Mixtures Using Piecewise Log-Sum-Exp Inequalities.

[BibT_eX]

[DOI]

Entropy, 2016

Relative Natural Gradient for Learning Large Complex Models.

[BibT_eX]

[DOI]

CoRR, 2016

Guaranteed bounds on the Kullback-Leibler divergence of univariate mixtures using piecewise log-sum-exp inequalities.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Information geometry and data manifold representations.

[BibT_eX]

[DOI]

PhD thesis, 2015

Space-Time Local Embeddings.

[BibT_eX]

[DOI]

Jun Wang

Alexandros Kalousis

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Information Geometry and Minimum Description Length Networks.

[BibT_eX]

[DOI]

Jun Wang

Alexandros Kalousis

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Two-Stage Metric Learning.

[BibT_eX]

[DOI]

Jun Wang

Fei Sha

Alexandros Kalousis

Proceedings of the 31th International Conference on Machine Learning, 2014

An Information Geometry of Statistical Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Efficient two stage decoding scheme to achieve content identification capacity.

[BibT_eX]

[DOI]

Farzad Farhadzadeh

Sohrab Fredowsi

Proceedings of the IEEE International Conference on Acoustics, 2014

Sparsity on Statistical Simplexes and Diversity in Social Ranking.

[BibT_eX]

[DOI]

Hisham Mohamed

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013

Learning Representative Nodes in Social Networks.

[BibT_eX]

[DOI]

Donn Morrison

Eric Bruno

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012

Stochastic unfolding.

[BibT_eX]

[DOI]

Eric Bruno

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Unsupervised skeleton learning for manifold denoising.

[BibT_eX]

[DOI]

Eric Bruno

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2009

Canonical Dual Approach to Binary Factor Analysis.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008

Mining Weighted Association Rules without Preassigned Weights.

[BibT_eX]

[DOI]

Fengshan Bai

IEEE Trans. Knowl. Data Eng., 2008

Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis.

[BibT_eX]

[DOI]

Lei Xu

Proceedings of the Artificial Neural Networks, 2008

2005

A Composite Method to Extract Eye Contour.

[BibT_eX]

[DOI]