Luca Baldassarre

According to our database, Luca Baldassarre authored at least 31 papers between 2008 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

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

Cosimo Aprile, Kerim Türe, Luca Baldassarre, Mahsa Shoaran, Gürkan Yilmaz, Franco Maloberti, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

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

Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher

Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

2017

DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems.

Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher

Proceedings of the Computing Frontiers Conference, 2017

2016

Group-Sparse Model Selection: Hardness and Relaxations.

Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis, Siddhartha Satpathi

IEEE Trans. Inf. Theory, 2016

Learning-Based Compressive Subsampling.

Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gozcu, Ilija Bogunovic, Volkan Cevher

IEEE J. Sel. Top. Signal Process., 2016

Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition.

Cosimo Aprile, Luca Baldassarre, Vipul Gupta, Juhwan Yoo, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher

Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016

Convex Block-sparse Linear Regression with Expanders - Provably.

Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Structured Sparsity: Discrete and Convex approaches.

Anastasios Kyrillidis, Luca Baldassarre, Marwa El Halabi, Quoc Tran-Dinh, Volkan Cevher

CoRR, 2015

Sparse group covers and greedy tree approximations.

Siddhartha Satpathi, Luca Baldassarre, Volkan Cevher

Proceedings of the IEEE International Symposium on Information Theory, 2015

A primal-dual framework for mixtures of regularizers.

Baran Gozcu, Luca Baldassarre, Quoc Tran-Dinh, Cosimo Aprile, Volkan Cevher

Proceedings of the 23rd European Signal Processing Conference, 2015

Structured sampling and recovery of iEEG signals.

Luca Baldassarre, Cosimo Aprile, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Convexity in Source Separation : Models, geometry, and algorithms.

Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre

IEEE Signal Process. Mag., 2014

Model-based Sketching and Recovery with Expanders.

Bubacarr Bah, Luca Baldassarre, Volkan Cevher

Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

Map estimation for Bayesian mixture models with submodular priors.

Marwa El Halabi, Luca Baldassarre, Volkan Cevher

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

2013

Accelerated and Inexact Forward-Backward Algorithms.

Silvia Villa, Saverio Salzo, Luca Baldassarre, Alessandro Verri

SIAM J. Optim., 2013

Group-Sparse Model Selection: Hardness and Relaxations

Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis

CoRR, 2013

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

Jessica Schrouff, Julien Crémers, Gaëtan Garraux, Luca Baldassarre, Janaina Mourão Miranda, Christophe Phillips

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Tractability of interpretability via selection of group-sparse models.

Nirav Bhan, Luca Baldassarre, Volkan Cevher

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

To convexify or not? Regression with clustering penalties on graphs.

Marwa El Halabi, Luca Baldassarre, Volkan Cevher

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

On Sparsity Inducing Regularization Methods for Machine Learning.

Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil

Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012

Multi-output learning via spectral filtering.

Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri

Mach. Learn., 2012

A General Framework for Structured Sparsity via Proximal Optimization.

Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil

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

Optimal Computational Trade-Off of Inexact Proximal Methods

Pierre Machart, Sandrine Anthoine, Luca Baldassarre

CoRR, 2012

Conditional mean embeddings as regressors - supplementary

Steffen Grünewälder, Guy Lever, Luca Baldassarre, Sam Patterson, Arthur Gretton, Massimiliano Pontil

CoRR, 2012

Structured Sparsity Models for Brain Decoding from fMRI Data.

Luca Baldassarre, Janaina Mourão Miranda, Massimiliano Pontil

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Conditional mean embeddings as regressors.

Steffen Grünewälder, Guy Lever, Arthur Gretton, Luca Baldassarre, Sam Patterson, Massimiliano Pontil

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

Modelling transition dynamics in MDPs with RKHS embeddings.

Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton

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

2010

Vector Field Learning via Spectral Filtering.

Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Learning how to grasp objects.

Annalisa Barla, Luca Baldassarre, Nicoletta Noceti, Francesca Odone

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

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

Nicoletta Noceti, Barbara Caputo, Claudio Castellini, Luca Baldassarre, Annalisa Barla, Lorenzo Rosasco, Francesca Odone, Giulio Sandini

Proceedings of the Image Analysis and Processing, 2009

2008

Vector valued regression for iron overload estimation.

Luca Baldassarre, Annalisa Barla, Barbara Gianesin, Mauro Marinelli

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008