A New Approach to Compositional Adaptation Based on Optimizing the Global Distance Function and Its Application in an Intelligent Tutoring System. - Nima Reyhani; Kambiz Badie; Mahmood Kharrat (IRI, 2003)

Mutual information and gamma test for input selection. - Nima Reyhani; Jin Hao; Yongnan Ji; Amaury Lendasse (ESANN, 2005)

LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. - Amaury Lendasse; Yongnan Ji; Nima Reyhani; Michel Verleysen (ICANN (2), 2005)

Direct and Recursive Prediction of Time Series Using Mutual Information Selection. - Yongnan Ji; Jin Hao; Nima Reyhani; Amaury Lendasse (IWANN, 2005)

Input and Structure Selection for k-NN Approximator. - Antti Sorjamaa; Nima Reyhani; Amaury Lendasse (IWANN, 2005)

Determination of the Mahalanobis matrix using nonparametric noise estimations. - Amaury Lendasse; Francesco Corona; Jin Hao; Nima Reyhani; Michel Verleysen (ESANN, 2006)

EM-algorithm for training of state-space models with application to time series prediction. - Elia Liitiäinen; Nima Reyhani; Amaury Lendasse (ESANN, 2006)

An empirical dependence mesaures based on residual variance estimation. - Nima Reyhani; Amaury Lendasse (ISSPA, 2007)

Methodology for long-term prediction of time series. - Antti Sorjamaa; Jin Hao; Nima Reyhani; Yongnan Ji; Amaury Lendasse (Neurocomputing, 2007)

Multiple Kernel Learning by Conditional Entropy Minimization. - Hideitsu Hino; Nima Reyhani; Noboru Murata (ICMLA, 2010)

Speaker recognition using multiple kernel learning based on conditional entropy minimization. - Tetsuji Ogawa; Hideitsu Hino; Nima Reyhani; Noboru Murata; Tetsunori Kobayashi (ICASSP, 2011)

Non-Gaussian component analysis using Density Gradient Covariance matrix. - Nima Reyhani; Erkki Oja (IJCNN, 2011)

New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices. - Nima Reyhani; Hideitsu Hino; Ricardo Vigário (UAI, 2011)

Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study. - Jarkko Ylipaavalniemi; Nima Reyhani; Ricardo Vigário (LVA/ICA, 2012)

An iterative algorithm for singular value decomposition on noisy incomplete matrices. - KyungHyun Cho; Nima Reyhani (IJCNN, 2012)

Multiple Kernel Learning with Gaussianity Measures. - Hideitsu Hino; Nima Reyhani; Noboru Murata (Neural Comput., 2012)

Consistency and asymptotic normality of FastICA and bootstrap FastICA. - Nima Reyhani; Jarkko Ylipaavalniemi; Ricardo Vigário; Erkki Oja (Signal Process., 2012)

Supervised covariance selection for linear discriminant analysis. - Hideitsu Hino; Nima Reyhani (MLSP, 2013)

Multiple Spectral Kernel Learning and a Gaussian Complexity Computation. - Nima Reyhani (Neural Comput., 2013)

Almost Optimal Stochastic Weighted Matching with Few Queries. - Soheil Behnezhad; Nima Reyhani (EC, 2018)

Stochastic Matching on Uniformly Sparse Graphs. - Soheil Behnezhad; Mahsa Derakhshan; Alireza Farhadi 001; MohammadTaghi Hajiaghayi; Nima Reyhani (SAGT, 2019)

Stochastic Matching with Few Queries: New Algorithms and Tools. - Soheil Behnezhad; Alireza Farhadi 001; MohammadTaghi Hajiaghayi; Nima Reyhani (SODA, 2019)

Incremental IVF Index Maintenance for Streaming Vector Search. - Jason Mohoney; Anil Pacaci; Shihabur Rahman Chowdhury; Umar Farooq Minhas; Jeffrey Pound; Cédric Renggli; Nima Reyhani; Ihab F. Ilyas; Theodoros Rekatsinas; Shivaram Venkataraman (CoRR, 2024)