Carreira-Perpinan, Miguel A.

45 publications

NeurIPS 2025 A Faster Training Algorithm for Regression Trees with Linear Leaves, and an Analysis of Its Complexity Kuat Gazizov, Miguel Á. Carreira-Perpiñán

ICML 2025 Generalized Additive Models via Direct Optimization of Regularized Decision Stump Forests Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

ICML 2024 Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets Magzhan Gabidolla, Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán

NeurIPSW 2024 Bivariate Decision Trees: Smaller, Interpretable, More Accurate Rasul Kairgeldin, Miguel Á. Carreira-Perpiñán

NeurIPS 2024 The Tree Autoencoder Model, with Application to Hierarchical Data Visualization Miguel Á. Carreira-Perpiñán, Kuat Gazizov

CVPR 2023 Towards Better Decision Forests: Forest Alternating Optimization Miguel Á. Carreira-Perpiñán, Magzhan Gabidolla, Arman Zharmagambetov

AAAI 2023 Very Fast, Approximate Counterfactual Explanations for Decision Forests Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada

AISTATS 2022 Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings Arman S. Zharmagambetov, Miguel A. Carreira-Perpinan

CVPR 2022 Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

NeurIPS 2022 Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization Arman Zharmagambetov, Miguel A. Carreira-Perpinan

AAAI 2021 Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada

ECML-PKDD 2021 More General and Effective Model Compression via an Additive Combination of Compressions Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán

CVPR 2021 Optimal Quantization Using Scaled Codebook Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel A. Carreira-Perpinan, Jose M. Alvarez

WACV 2021 Style Transfer by Rigid Alignment in Neural Net Feature Space Suryabhan Singh Hada, Miguel A. Carreira-Perpinan

NeurIPS 2018 Alternating Optimization of Decision Trees, with Application to Learning Sparse Oblique Trees Miguel A. Carreira-Perpinan, Pooya Tavallali

NeurIPS 2016 An Ensemble Diversity Approach to Supervised Binary Hashing Miguel A. Carreira-Perpinan, Ramin Raziperchikolaei

NeurIPS 2016 Optimizing Affinity-Based Binary Hashing Using Auxiliary Coordinates Ramin Raziperchikolaei, Miguel A. Carreira-Perpinan

NeurIPS 2015 A Fast, Universal Algorithm to Learn Parametric Nonlinear Embeddings Miguel A. Carreira-Perpinan, Max Vladymyrov

CVPR 2015 Hashing with Binary Autoencoders Miguel A. Carreira-Perpinan, Ramin Raziperchikolaei

AISTATS 2014 Distributed Optimization of Deeply Nested Systems Miguel Á. Carreira-Perpiñán, Weiran Wang

AAAI 2014 LASS: A Simple Assignment Model with Laplacian Smoothing Miguel Á. Carreira-Perpiñán, Weiran Wang

AISTATS 2014 Linear-Time Training of Nonlinear Low-Dimensional Embeddings Max Vladymyrov, Miguel Á. Carreira-Perpiñán

AAAI 2014 The Role of Dimensionality Reduction in Classification Weiran Wang, Miguel Á. Carreira-Perpiñán

ECML-PKDD 2013 Locally Linear Landmarks for Large-Scale Manifold Learning Max Vladymyrov, Miguel Á. Carreira-Perpiñán

ICML 2012 Fast Training of Nonlinear Embedding Algorithms Max Vladymyrov, Miguel Á. Carreira-Perpiñán

NeurIPS 2011 A Denoising View of Matrix Completion Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu

IJCAI 2011 Adaptation of a Mixture of Multivariate Bernoulli Distributions Ankur Kamthe, Miguel Á. Carreira-Perpiñán, Alberto Cerpa

CVPR 2010 Manifold Blurring Mean Shift Algorithms for Manifold Denoising Weiran Wang, Miguel Á. Carreira-Perpiñán

CVPR 2010 Parametric Dimensionality Reduction by Unsupervised Regression Miguel Á. Carreira-Perpiñán, Zhengdong Lu

ICML 2010 The Elastic Embedding Algorithm for Dimensionality Reduction Miguel Á. Carreira-Perpiñán

CVPR 2008 Constrained Spectral Clustering Through Affinity Propagation Zhengdong Lu, Miguel Á. Carreira-Perpiñán

CVPR 2008 Dimensionality Reduction by Unsupervised Regression Miguel Á. Carreira-Perpiñán, Zhengdong Lu

CVPR 2008 Generalised Blurring Mean-Shift Algorithms for Nonparametric Clustering Miguel Á. Carreira-Perpiñán

CVPR 2007 Free-Form Nonrigid Image Registration Using Generalized Elastic Nets Andriy Myronenko, Xubo B. Song, Miguel Á. Carreira-Perpiñán

NeurIPS 2007 People Tracking with the Laplacian Eigenmaps Latent Variable Model Zhengdong Lu, Cristian Sminchisescu, Miguel Á. Carreira-Perpiñán

AISTATS 2007 The Laplacian Eigenmaps Latent Variable Model Miguel A. Carreira-Perpiñán, Zhengdong Lu

CVPR 2006 Acceleration Strategies for Gaussian Mean-Shift Image Segmentation Miguel Á. Carreira-Perpiñán

ICML 2006 Fast Nonparametric Clustering with Gaussian Blurring Mean-Shift Miguel Á. Carreira-Perpiñán

NeurIPS 2006 Non-Rigid Point Set Registration: Coherent Point Drift Andriy Myronenko, Xubo Song, Miguel Á. Carreira-Perpiñán

AISTATS 2005 On Contrastive Divergence Learning Miguel Á. Carreira-Perpiñán, Geoffrey Hinton

CVPR 2004 Multiscale Conditional Random Fields for Image Labeling Xuming He, Richard S. Zemel, Miguel Á. Carreira-Perpiñán

NeurIPS 2004 Proximity Graphs for Clustering and Manifold Learning Richard S. Zemel, Miguel Á. Carreira-Perpiñán

NeCo 2002 Are Visual Cortex Maps Optimized for Coverage? Miguel Á. Carreira-Perpiñán, Geoffrey J. Goodhill

NeCo 2000 Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions Miguel Á. Carreira-Perpiñán, Steve Renals

NeurIPS 1999 Reconstruction of Sequential Data with Probabilistic Models and Continuity Constraints Miguel Á. Carreira-Perpiñán