| 2026 | ICPR | More Interpretable Decision Trees: Pruning via Node Descent and the Delta Penalty. | Miguel . Carreira-Perpin, Suryabhan Singh Hada |
| 2026 | ICPR | Faster Neural Net Inference via Forests of Sparse Oblique Decision Trees. | Yerlan Idelbayev, Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2025 | ETFA | COMNETS: COst-sensitive learning for throughput optimization in Multi-radio IoT NETworkS. | Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Miguel . Carreira-Perpin, Alberto E. Cerpa |
| 2025 | ETFA | MARS: Multi-radio Architecture with ML-powered Radio Selection for Mesoscale IoT Applications. | Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin, Alberto E. Cerpa |
| 2025 | ICIP | Oblique Decision Trees as an Image Model for Cubist Image Restyling. | Edric Chan, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2025 | ICIP | Fast Image Vector Quantization Using Sparse Oblique Regression Trees. | Rasul Kairgeldin, Miguel . Carreira-Perpin |
| 2025 | ICML | Generalized additive models via direct optimization of regularized decision stump forests. | Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2025 | NeSy | Neurosymbolic models based on hybrids of convolutional neural networks and decision trees. | Rasul Kairgeldin, Miguel . Carreira-Perpin |
| 2024 | ICML | Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets. | Magzhan Gabidolla, Arman Zharmagambetov, Miguel . Carreira-Perpin |
| 2024 | KDD | Bivariate Decision Trees: Smaller, Interpretable, More Accurate. | Rasul Kairgeldin, Miguel . Carreira-Perpin |
| 2024 | UAI | Adaptive Softmax Trees for Many-Class Classification. | Rasul Kairgeldin, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2023 | AAAI | Very Fast, Approximate Counterfactual Explanations for Decision Forests. | Miguel . Carreira-Perpin, Suryabhan Singh Hada |
| 2023 | CVPR | Towards Better Decision Forests: Forest Alternating Optimization. | Miguel . Carreira-Perpin, Magzhan Gabidolla, Arman Zharmagambetov |
| 2022 | AISTATS | Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings. | Arman Serikuly Zharmagambetov, Miguel . Carreira-Perpin |
| 2022 | CVPR | Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees. | Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2022 | ICASSP | Interpretable Image Classification Using Sparse Oblique Decision Trees. | Suryabhan Singh Hada, Miguel . Carreira-Perpin |
| 2022 | ICASSP | Exploring the Effect of ℓ0/ℓ2 Regularization in Neural Network Pruning using the LC Toolkit. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2022 | IJCNN | Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees. | Magzhan Gabidolla, Arman Zharmagambetov, Miguel . Carreira-Perpin |
| 2022 | IJCNN | Sparse Oblique Decision Trees: A Tool to Interpret Natural Language Processing Datasets. | Suryabhan Singh Hada, Miguel . Carreira-Perpin |
| 2022 | KDD | Optimal Interpretable Clustering Using Oblique Decision Trees. | Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | AAAI | Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms. | Miguel . Carreira-Perpin, Suryabhan Singh Hada |
| 2021 | CIKM | LC: A Flexible, Extensible Open-Source Toolkit for Model Compression. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2021 | CVPR | Optimal Quantization Using Scaled Codebook. | Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel . Carreira-Perpin, Jos M. lvarez |
| 2021 | DCC | Neural Network Compression via Additive Combination of Reshaped, Low-Rank Matrices. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2021 | EMNLP | Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large. | Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | ICASSP | Optimal Selection of Matrix Shape and Decomposition Scheme for Neural Network Compression. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2021 | ICASSP | Learning a Tree of Neural Nets. | Arman Zharmagambetov, Miguel . Carreira-Perpin |
| 2021 | ICIP | Sampling The "Inverse Set" of a Neuron. | Suryabhan Singh Hada, Miguel . Carreira-Perpin |
| 2021 | ICIP | Understanding And Manipulating Neural Net Features Using Sparse Oblique Classification Trees. | Suryabhan Singh Hada, Miguel . Carreira-Perpin, Arman Zharmagambetov |
| 2021 | ICIP | Beyond Flops In Low-Rank Compression Of Neural Networks: Optimizing Device-Specific Inference Runtime. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2021 | ICIP | A Simple, Effective Way To Improve Neural Net Classification: Ensembling Unit Activations With A Sparse Oblique Decision Tree. | Arman Zharmagambetov, Miguel . Carreira-Perpin |
| 2021 | ICIP | Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization. | Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | IJCNN | An Empirical Comparison of Quantization, Pruning and Low-rank Neural Network Compression using the LC Toolkit. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2021 | IJCNN | Improved Boosted Regression Forests Through Non-Greedy Tree Optimization. | Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | IJCNN | Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison. | Arman Zharmagambetov, Suryabhan Singh Hada, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | WACV | Style Transfer by Rigid Alignment in Neural Net Feature Space. | Suryabhan Singh Hada, Miguel . Carreira-Perpin |
| 2020 | CVPR | Structured Multi-Hashing for Model Compression. | Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2020 | CVPR | Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer. | Yerlan Idelbayev, Miguel . Carreira-Perpin |
| 2020 | ICML | Smaller, more accurate regression forests using tree alternating optimization. | Arman Zharmagambetov, Miguel . Carreira-Perpin |
| 2018 | CVPR | "Learning-Compression" Algorithms for Neural Net Pruning. | Miguel . Carreira-Perpin, Yerlan Idelbayev |
| 2017 | ICIP | Learning circulant support vector machines for fast image search. | Ramin Raziperchikolaei, Miguel . Carreira-Perpin |
| 2017 | ICIP | Learning supervised binary hashing: Optimization vs diversity. | Ramin Raziperchikolaei, Miguel . Carreira-Perpin |
| 2017 | IJCNN | Fast, accurate spectral clustering using locally linear landmarks. | Max Vladymyrov, Miguel . Carreira-Perpin |
| 2016 | ICDM | Learning Independent, Diverse Binary Hash Functions: Pruning and Locality. | Ramin Raziperchikolaei, Miguel . Carreira-Perpin |
| 2016 | ICML | The Variational Nystrom method for large-scale spectral problems. | Max Vladymyrov, Miguel . Carreira-Perpin |
| 2015 | CVPR | Hashing with binary autoencoders. | Miguel . Carreira-Perpin, Ramin Raziperchikolaei |
| 2015 | SENSYS | Poster: MICO: Model-Based Irrigation Control Optimization. | Daniel A. Winkler, Robert Wang, Franois Blanchette, Miguel . Carreira-Perpin, Alberto E. Cerpa |
| 2014 | AAAI | LASS: A Simple Assignment Model with Laplacian Smoothing. | Miguel . Carreira-Perpin, Weiran Wang |
| 2014 | AAAI | The Role of Dimensionality Reduction in Classification. | Weiran Wang, Miguel . Carreira-Perpin |
| 2014 | AISTATS | Distributed optimization of deeply nested systems. | Miguel . Carreira-Perpin, Weiran Wang |
| 2014 | AISTATS | Linear-time training of nonlinear low-dimensional embeddings. | Max Vladymyrov, Miguel . Carreira-Perpin |
| 2013 | ICML | Entropic Affinities: Properties and Efficient Numerical Computation. | Max Vladymyrov, Miguel . Carreira-Perpin |
| 2013 | INFOCOM | Quick construction of data-driven models of the short-term behavior of wireless links. | Ankur Kamthe, Miguel . Carreira-Perpin, Alberto Cerpa |
| 2012 | ICASSP | Learning and adaptation of a tongue shape modelwith missing data. | Mohsen Farhadloo, Miguel . Carreira-Perpin |
| 2012 | ICASSP | Regularising an adaptation algorithm for tongue shape models. | Mohsen Farhadloo, Miguel . Carreira-Perpin |
| 2012 | ICML | Fast Training of Nonlinear Embedding Algorithms. | Max Vladymyrov, Miguel . Carreira-Perpin |
| 2011 | ICDM | Manifold Learning and Missing Data Recovery through Unsupervised Regression. | Miguel . Carreira-Perpin, Zhengdong Lu |
| 2011 | IJCAI | Adaptation of a Mixture of Multivariate Bernoulli Distributions. | Ankur Kamthe, Miguel . Carreira-Perpin, Alberto Cerpa |
| 2011 | SENSYS | Enabling building energy auditing using adapted occupancy models. | Ankur Kamthe, Varick L. Erickson, Miguel . Carreira-Perpin, Alberto Cerpa |
| 2010 | CVPR | Parametric dimensionality reduction by unsupervised regression. | Miguel . Carreira-Perpin, Zhengdong Lu |
| 2010 | CVPR | Manifold blurring mean shift algorithms for manifold denoising. | Weiran Wang, Miguel . Carreira-Perpin |
| 2010 | ICASSP | Reconstructing the full tongue contour from EMA/X-ray microbeam. | Chao Qin, Miguel . Carreira-Perpin |
| 2010 | ICIP | Semi-supervised regression with temporal image sequences. | Ling Xie, Miguel . Carreira-Perpin, Shawn D. Newsam |
| 2010 | ICML | The Elastic Embedding Algorithm for Dimensionality Reduction. | Miguel . Carreira-Perpin |
| 2010 | Interspeech | Estimating missing data sequences in x-ray microbeam recordings. | Chao Qin, Miguel . Carreira-Perpin |
| 2010 | Interspeech | Articulatory inversion of american English /turnr/ by conditional density modes. | Chao Qin, Miguel . Carreira-Perpin |
| 2010 | Interspeech | Adaptation of a tongue shape model by local feature transformations. | Chao Qin, Miguel . Carreira-Perpin, Mohsen Farhadloo |
| 2009 | Interspeech | Adaptation of a predictive model of tongue shapes. | Chao Qin, Miguel . Carreira-Perpin |
| 2009 | SENSYS | M&M: multi-level Markov model for wireless link simulations. | Ankur Kamthe, Miguel . Carreira-Perpin, Alberto Cerpa |
| 2009 | SENSYS | Wireless link simulations using multi-level Markov models. | Ankur Kamthe, Miguel . Carreira-Perpin, Alberto Cerpa |
| 2008 | CVPR | Generalised blurring mean-shift algorithms for nonparametric clustering. | Miguel . Carreira-Perpin |
| 2008 | CVPR | Dimensionality reduction by unsupervised regression. | Miguel . Carreira-Perpin, Zhengdong Lu |
| 2008 | CVPR | Constrained spectral clustering through affinity propagation. | Zhengdong Lu, Miguel . Carreira-Perpin |
| 2008 | ICASSP | Density geodesics for similarity clustering. | Umut Ozertem, Deniz Erdogmus, Miguel . Carreira-Perpin |
| 2008 | ICASSP | Trajectory inverse kinematics by nonlinear, nongaussian tracking. | Chao Qin, Miguel . Carreira-Perpin |
| 2008 | ICMI | IGlasses: an automatic wearable speech supplementin face-to-face communication and classroom situations. | Dominic W. Massaro, Miguel . Carreira-Perpin, David J. Merrill, Cass Sterling, Stephanie Bigler, Elise Piazza, Marcus Perlman |
| 2008 | ICRA | Trajectory inverse kinematics by conditional density modes. | Chao Qin, Miguel . Carreira-Perpin |
| 2008 | Interspeech | Predicting tongue shapes from a few landmark locations. | Chao Qin, Miguel . Carreira-Perpin, Korin Richmond, Alan Wrench, Steve Renals |
| 2007 | CVPR | Free-Form Nonrigid Image Registration Using Generalized Elastic Nets. | Andriy Myronenko, Xubo B. Song, Miguel . Carreira-Perpin |
| 2007 | Interspeech | An empirical investigation of the nonuniqueness in the acoustic-to-articulatory mapping. | Chao Qin, Miguel . Carreira-Perpin |
| 2007 | Interspeech | A comparison of acoustic features for articulatory inversion. | Chao Qin, Miguel . Carreira-Perpin |
| 2006 | CVPR | Acceleration Strategies for Gaussian Mean-Shift Image Segmentation. | Miguel . Carreira-Perpin |
| 2006 | ICASSP | Kernel Density Estimation, Affinity-Based Clustering, And Typical Cuts. | Deniz Erdogmus, Miguel . Carreira-Perpin, Umut Ozertem |
| 2006 | ICML | Fast nonparametric clustering with Gaussian blurring mean-shift. | Miguel . Carreira-Perpin |
| 2005 | AISTATS | On Contrastive Divergence Learning. | Miguel . Carreira-Perpin, Geoffrey E. Hinton |
| 2005 | IDEAL | Differential Priors for Elastic Nets. | Miguel . Carreira-Perpin, Peter Dayan, Geoffrey J. Goodhill |
| 2004 | CVPR | Multiscale Conditional Random Fields for Image Labeling. | Xuming He, Richard S. Zemel, Miguel . Carreira-Perpin |