Miguel Á. Carreira-Perpiñán

Suryabhan Singh Hada

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

OPTICS: OPTimizing Irrigation Control at Scale.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, 2020

A flexible, extensible software framework for model compression based on the LC algorithm.

[BibT_eX]

[DOI]

CoRR, 2020

Smaller, more accurate regression forests using tree alternating optimization.

[BibT_eX]

[DOI]

Arman Zharmagambetov

Proceedings of the 37th International Conference on Machine Learning, 2020

Ensembles of Bagged TAO Trees Consistently Improve over Random Forests, AdaBoost and Gradient Boosting.

[BibT_eX]

[DOI]

Arman Zharmagambetov

Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020

Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Structured Multi-Hashing for Model Compression.

[BibT_eX]

[DOI]

Elad Eban

Yair Movshovitz-Attias

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

DICTUM: Distributed Irrigation aCtuation with Turf hUmidity Modeling.

[BibT_eX]

[DOI]

Robert Wang

François Blanchette

ACM Trans. Sens. Networks, 2019

An Experimental Comparison of Old and New Decision Tree Algorithms.

[BibT_eX]

[DOI]

Arman Zharmagambetov

Suryabhan Singh Hada

CoRR, 2019

Sampling the "Inverse Set" of a Neuron: An Approach to Understanding Neural Nets.

[BibT_eX]

[DOI]

Suryabhan Singh Hada

CoRR, 2019

Parmac: Distributed Optimisation Of Nested Functions, With Application To Learning Binary Autoencoders.

[BibT_eX]

[DOI]

Mehdi Alizadeh

Proceedings of Machine Learning and Systems 2019, 2019

2018

Alternating optimization of decision trees, with application to learning sparse oblique trees.

[BibT_eX]

[DOI]

Pooya Tavallali

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

Plug-and-play irrigation control at scale.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

"Learning-Compression" Algorithms for Neural Net Pruning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Model compression as constrained optimization, with application to neural nets. Part II: quantization.

[BibT_eX]

[DOI]

CoRR, 2017

Model compression as constrained optimization, with application to neural nets. Part I: general framework.

[BibT_eX]

[DOI]

CoRR, 2017

Fast, accurate spectral clustering using locally linear landmarks.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning supervised binary hashing: Optimization vs diversity.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Learning circulant support vector machines for fast image search.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Optimizing affinity-based binary hashing using auxiliary coordinates.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

An ensemble diversity approach to supervised binary hashing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

MAGIC: Model-Based Actuation for Ground Irrigation Control.

[BibT_eX]

[DOI]

Robert Wang

François Blanchette

Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

The Variational Nystrom method for large-scale spectral problems.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning Independent, Diverse Binary Hash Functions: Pruning and Locality.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Learning hashing with affinity-based loss functions using auxiliary coordinates.

[BibT_eX]

[DOI]

CoRR, 2015

A review of mean-shift algorithms for clustering.

[BibT_eX]

[DOI]

CoRR, 2015

Poster: MICO: Model-Based Irrigation Control Optimization.

[BibT_eX]

[DOI]

Robert Wang

François Blanchette

Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

A fast, universal algorithm to learn parametric nonlinear embeddings.

[BibT_eX]

[DOI]

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

Hashing with binary autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Occupancy Modeling and Prediction for Building Energy Management.

[BibT_eX]

[DOI]

Varick L. Erickson

ACM Trans. Sens. Networks, 2014

The Laplacian K-modes algorithm for clustering.

[BibT_eX]

[DOI]

CoRR, 2014

The role of dimensionality reduction in linear classification.

[BibT_eX]

[DOI]

CoRR, 2014

An ADMM algorithm for solving a proximal bound-constrained quadratic program.

[BibT_eX]

[DOI]

CoRR, 2014

Linear-time training of nonlinear low-dimensional embeddings.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Distributed optimization of deeply nested systems.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

The Role of Dimensionality Reduction in Classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

LASS: A Simple Assignment Model with Laplacian Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Improving wireless link simulation using multilevel markov models.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, 2013

The K-modes algorithm for clustering

[BibT_eX]

[DOI]

CoRR, 2013

Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application.

[BibT_eX]

[DOI]

CoRR, 2013

Locally Linear Landmarks for Large-Scale Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Quick construction of data-driven models of the short-term behavior of wireless links.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Entropic Affinities: Properties and Efficient Numerical Computation.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Nonlinear low-dimensional regression using auxiliary coordinates.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Partial-Hessian Strategies for Fast Learning of Nonlinear Embeddings

[BibT_eX]

[DOI]

CoRR, 2012

Fast Training of Nonlinear Embedding Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Regularising an adaptation algorithm for tongue shape models.

[BibT_eX]

[DOI]

Mohsen Farhadloo

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Learning and adaptation of a tongue shape modelwith missing data.

[BibT_eX]

[DOI]

Mohsen Farhadloo

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Reconstruction of sequential data with density models

[BibT_eX]

[DOI]

CoRR, 2011

Generalised elastic nets

[BibT_eX]

[DOI]

Geoffrey J. Goodhill

CoRR, 2011

Enabling building energy auditing using adapted occupancy models.

[BibT_eX]

[DOI]

Varick L. Erickson

Proceedings of the BuildSys 2011, 2011

A Denoising View of Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

OBSERVE: Occupancy-based system for efficient reduction of HVAC energy.

[BibT_eX]

[DOI]

Varick L. Erickson

Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

Adaptation of a Mixture of Multivariate Bernoulli Distributions.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Manifold Learning and Missing Data Recovery through Unsupervised Regression.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Adaptation of a tongue shape model by local feature transformations.

[BibT_eX]

[DOI]

Mohsen Farhadloo

Proceedings of the INTERSPEECH 2010, 2010

Articulatory inversion of american English /turnr/ by conditional density modes.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2010, 2010

Estimating missing data sequences in x-ray microbeam recordings.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2010, 2010

The Elastic Embedding Algorithm for Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Semi-supervised regression with temporal image sequences.

[BibT_eX]

[DOI]

Ling Xie

Shawn D. Newsam

Proceedings of the International Conference on Image Processing, 2010

Reconstructing the full tongue contour from EMA/X-ray microbeam.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Manifold blurring mean shift algorithms for manifold denoising.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Parametric dimensionality reduction by unsupervised regression.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Wireless link simulations using multi-level Markov models.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Embedded Networked Sensor Systems, 2009

M&M: multi-level Markov model for wireless link simulations.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Embedded Networked Sensor Systems, 2009

Adaptation of a predictive model of tongue shapes.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2009, 2009

Optimizing Visual Feature Perception for an Automatic Wearable Speech Supplement in Face-to-Face Communication and Classroom Situations.

[BibT_eX]

[DOI]

Dominic W. Massaro

David J. Merrill

Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009

2008

Predicting tongue shapes from a few landmark locations.

[BibT_eX]

[DOI]

Korin Richmond

Alan Wrench

Steve Renals

Proceedings of the INTERSPEECH 2008, 2008

Trajectory inverse kinematics by conditional density modes.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

IGlasses: an automatic wearable speech supplementin face-to-face communication and classroom situations.

[BibT_eX]

[DOI]

Dominic W. Massaro

Proceedings of the 10th International Conference on Multimodal Interfaces, 2008

Trajectory inverse kinematics by nonlinear, nongaussian tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

Density geodesics for similarity clustering.

[BibT_eX]

[DOI]

Umut Ozertem

Deniz Erdogmus

Proceedings of the IEEE International Conference on Acoustics, 2008

Constrained spectral clustering through affinity propagation.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Dimensionality reduction by unsupervised regression.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Generalised blurring mean-shift algorithms for nonparametric clustering.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Gaussian Mean-Shift Is an EM Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2007

The Laplacian Eigenmaps Latent Variable Model.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

People Tracking with the Laplacian Eigenmaps Latent Variable Model.

[BibT_eX]

[DOI]

Cristian Sminchisescu

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A comparison of acoustic features for articulatory inversion.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2007, 2007

An empirical investigation of the nonuniqueness in the acoustic-to-articulatory mapping.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2007, 2007

Free-Form Nonrigid Image Registration Using Generalized Elastic Nets.

[BibT_eX]

[DOI]

Andriy Myronenko

Xubo B. Song

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Non-rigid point set registration: Coherent Point Drift.

[BibT_eX]

[DOI]

Andriy Myronenko

Xubo B. Song

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Fast nonparametric clustering with Gaussian blurring mean-shift.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Kernel Density Estimation, Affinity-Based Clustering, And Typical Cuts.

[BibT_eX]

[DOI]

Deniz Erdogmus

Umut Ozertem

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Acceleration Strategies for Gaussian Mean-Shift Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Differential Priors for Elastic Nets.

[BibT_eX]

[DOI]

Peter Dayan

Geoffrey J. Goodhill

Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

On Contrastive Divergence Learning.

[BibT_eX]

[DOI]

Geoffrey E. Hinton

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Proximity Graphs for Clustering and Manifold Learning.

[BibT_eX]

[DOI]

Richard S. Zemel

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Multiscale Conditional Random Fields for Image Labeling.

[BibT_eX]

[DOI]

Xuming He

Richard S. Zemel

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

On the Number of Modes of a Gaussian Mixture.

[BibT_eX]

[DOI]

Christopher K. I. Williams

Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

2002

Are Visual Cortex Maps Optimized for Coverage?

[BibT_eX]

[DOI]

Geoffrey J. Goodhill

Neural Comput., 2002

2001

Continuous latent variable models for dimensionality reduction and sequential data reconstruction.

[BibT_eX]

[DOI]

PhD thesis, 2001

2000

Mode-Finding for Mixtures of Gaussian Distributions.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2000

Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions.

[BibT_eX]

[DOI]

Steve Renals

Neural Comput., 2000

1999

Reconstruction of Sequential Data with Probabilistic Models and Continuity Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Dimensionality reduction of electropalatographic data using latent variable models.

[BibT_eX]

[DOI]