Benyamin Ghojogh
Orcid: 0000-0002-9617-291X
According to our database1,
Benyamin Ghojogh
authored at least 64 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
2023
Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive Flow.
CoRR, 2023
On Philomatics and Psychomatics for Combining Philosophy and Psychology with Mathematics.
CoRR, 2023
CoRR, 2023
Springer, ISBN: 978-3-031-10601-9, 2023
2022
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General Relativity.
CoRR, 2022
Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human.
CoRR, 2022
On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres.
CoRR, 2022
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022
2021
Generative locally linear embedding: A module for manifold unfolding and visualization.
Softw. Impacts, 2021
CoRR, 2021
Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey.
CoRR, 2021
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey.
CoRR, 2021
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey.
CoRR, 2021
Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey.
CoRR, 2021
CoRR, 2021
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey.
CoRR, 2021
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey.
CoRR, 2021
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey.
CoRR, 2021
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey.
CoRR, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds.
Proceedings of the Asian Conference on Machine Learning, 2021
2020
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling.
CoRR, 2020
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey.
CoRR, 2020
CoRR, 2020
Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition.
CoRR, 2020
Quantile-Quantile Embedding for Distribution Transformation, Manifold Embedding, and Image Embedding with Choice of Embedding Distribution.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Theoretical Insights into the Use of Structural Similarity Index in Generative Models and Inferential Autoencoders.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the Advances in Artificial Intelligence, 2020
2019
The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial.
CoRR, 2019
CoRR, 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Proceedings of the Advances in Artificial Intelligence, 2019
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning.
Proceedings of the Advances in Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
CoRR, 2018
Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches.
CoRR, 2018
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
Proceedings of the Advances in Artificial Intelligence, 2018
2017