Luca Baldassarre

发表

Structured Sparsity Models for Brain Decoding from fMRI Data

Luca Baldassarre, Janaina Mourão Miranda, Massimiliano Pontil, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Learning how to grasp objects

Nicoletta Noceti, Francesca Odone, Luca Baldassarre, 2010, ESANN.

A General Framework for Structured Sparsity via Proximal Optimization pdf

Luca Baldassarre, Massimiliano Pontil, Jean Morales, 2012, AISTATS.

Accelerated and Inexact Forward-Backward Algorithms

Luca Baldassarre, Alessandro Verri, Saverio Salzo, 2013, SIAM J. Optim..

Convexity in Source Separation : Models, geometry, and algorithms

Volkan Cevher, Luca Baldassarre, Afsaneh Asaei, 2013, IEEE Signal Processing Magazine.

Modelling transition dynamics in MDPs with RKHS embeddings pdf

Guy Lever, Arthur Gretton, Luca Baldassarre, 2012, ICML.

Conditional mean embeddings as regressors

Guy Lever, Arthur Gretton, Luca Baldassarre, 2012, ICML.

Tractability of interpretability via selection of group-sparse models

Volkan Cevher, Luca Baldassarre, Nirav Bhan, 2013, 2013 IEEE International Symposium on Information Theory.

Incorporating Additional Constraints in Sparse Estimation

Luca Baldassarre, Massimiliano Pontil, Jean Morales, 2012 .

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Volkan Cevher, Yusuf Leblebici, Luca Baldassarre, 2018, CF.

On Sparsity Inducing Regularization Methods for Machine Learning

Charles A. Micchelli, Luca Baldassarre, Massimiliano Pontil, 2013, Empirical Inference.

Learning-Based Compressive Subsampling

Volkan Cevher, Luca Baldassarre, Baran Gözcü, 2015, IEEE Journal of Selected Topics in Signal Processing.

Map estimation for Bayesian mixture models with submodular priors

Volkan Cevher, Luca Baldassarre, Marwa El Halabi, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Vector Field Learning via Spectral Filtering

Lorenzo Rosasco, Luca Baldassarre, Annalisa Barla, 2010, ECML/PKDD.

Convex Block-sparse Linear Regression with Expanders - Provably pdf

Volkan Cevher, Anastasios Kyrillidis, Luca Baldassarre, 2016, AISTATS.

To convexify or not? Regression with clustering penalties on graphs

Volkan Cevher, Luca Baldassarre, Marwa El Halabi, 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Model-based Sketching and Recovery with Expanders

Volkan Cevher, Luca Baldassarre, Bubacarr Bah, 2014, SODA.

Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants

Volkan Cevher, Yusuf Leblebici, Franco Maloberti, 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

Multi-output learning via spectral filtering

Lorenzo Rosasco, Luca Baldassarre, Annalisa Barla, 2012, Machine Learning.

Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents

Giulio Sandini, Barbara Caputo, Lorenzo Rosasco, 2009, ICIAP.

Optimal Computational Trade-Off of Inexact Proximal Methods pdf

Luca Baldassarre, Pierre Machart, Sandrine Anthoine, 2012, ArXiv.

Learning-based near-optimal area-power trade-offs in hardware design for neural signal acquisition

Volkan Cevher, Yusuf Leblebici, Vipul Gupta, 2016, 2016 International Great Lakes Symposium on VLSI (GLSVLSI).

Modeling transition dynamics in MDPs with RKHS embeddings of conditional distributions pdf

Guy Lever, Arthur Gretton, Luca Baldassarre, 2011, ArXiv.

Lower Bounds for Sparse Coding

Luca Baldassarre, Massimiliano Pontil, Andreas Maurer, 2015 .

Conditional mean embeddings as regressors - supplementary pdf

Guy Lever, Arthur Gretton, Luca Baldassarre, 2012, ArXiv.

A Statistical Learning approach to Liver Iron Overload Estimation

Luca Baldassarre, Annalisa Barla, Barbara Gianesin, 2008 .

A primal-dual framework for mixtures of regularizers

Volkan Cevher, Luca Baldassarre, Baran Gözcü, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Group-Sparse Model Selection: Hardness and Relaxations

Volkan Cevher, Anastasios Kyrillidis, Luca Baldassarre, 2013, IEEE Transactions on Information Theory.

Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models

Luca Baldassarre, Janaina Mourão Miranda, Christophe Phillips, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain Decoding

Luca Baldassarre, Massimiliano Pontil, Janaina Mourão-Miranda, 2017, Front. Neurosci..

Vector valued regression for iron overload estimation

Luca Baldassarre, Annalisa Barla, Mauro Marinelli, 2008, 2008 19th International Conference on Pattern Recognition.

Structured sampling and recovery of iEEG signals

Volkan Cevher, Yusuf Leblebici, Mahsa Shoaran, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems

Volkan Cevher, Yusuf Leblebici, Luca Baldassarre, 2017, Conf. Computing Frontiers.

Structured Sparsity: Discrete and Convex approaches pdf

Volkan Cevher, Anastasios Kyrillidis, Luca Baldassarre, 2015, ArXiv.

Sparse group covers and greedy tree approximations

Volkan Cevher, Luca Baldassarre, Siddhartha Satpathi, 2015, 2015 IEEE International Symposium on Information Theory (ISIT).

Convexity in Source Separation

Volkan Cevher, Luca Baldassarre, Afsaneh Asaei, 2014 .