Luca Baldassarre

Publication Activity (10 Years)

Years Active: 2008-2018
Publications (10 Years): 13

Top Topics

Machine Learning

Linear Regression

Structured Sparsity

Regularization Methods

Top Venues

Publications

Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher
An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems. CF (2018)
Cosimo Aprile, Kerim Türe, Luca Baldassarre, Mahsa Shoaran, Gürkan Yilmaz, Franco Maloberti, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher
Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants. IEEE Trans. Circuits Syst. I Regul. Pap. (11) (2018)
Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher
DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems. Conf. Computing Frontiers (2017)
Cosimo Aprile, Luca Baldassarre, Vipul Gupta, Juhwan Yoo, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher
Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition. ACM Great Lakes Symposium on VLSI (2016)
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gozcu, Ilija Bogunovic, Volkan Cevher
Learning-Based Compressive Subsampling. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher
Convex block-sparse linear regression with expanders - provably. CoRR (2016)
Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher
Convex Block-sparse Linear Regression with Expanders - Provably. AISTATS (2016)
Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis, Siddhartha Satpathi
Group-Sparse Model Selection: Hardness and Relaxations. IEEE Trans. Inf. Theory 62 (11) (2016)
Baran Gozcu, Luca Baldassarre, Quoc Tran-Dinh, Cosimo Aprile, Volkan Cevher
A primal-dual framework for mixtures of regularizers. EUSIPCO (2015)
Siddhartha Satpathi, Luca Baldassarre, Volkan Cevher
Sparse group covers and greedy tree approximations. ISIT (2015)
Anastasios Kyrillidis, Luca Baldassarre, Marwa El Halabi, Quoc Tran-Dinh, Volkan Cevher
Structured Sparsity: Discrete and Convex approaches. CoRR (2015)
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher
Learning-based Compressive Subsampling. CoRR (2015)
Luca Baldassarre, Cosimo Aprile, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher
Structured sampling and recovery of iEEG signals. CAMSAP (2015)
Bubacarr Bah, Luca Baldassarre, Volkan Cevher
Model-based Sketching and Recovery with Expanders. SODA (2014)
Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre
Convexity in Source Separation : Models, geometry, and algorithms. IEEE Signal Process. Mag. 31 (3) (2014)
Marwa El Halabi, Luca Baldassarre, Volkan Cevher
Map estimation for Bayesian mixture models with submodular priors. MLSP (2014)
Nirav Bhan, Luca Baldassarre, Volkan Cevher
Tractability of interpretability via selection of group-sparse models. ISIT (2013)
Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis
Group-Sparse Model Selection: Hardness and Relaxations CoRR (2013)
Marwa El Halabi, Luca Baldassarre, Volkan Cevher
To convexify or not? Regression with clustering penalties on graphs. CAMSAP (2013)
Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil
On Sparsity Inducing Regularization Methods for Machine Learning. Empirical Inference (2013)
Silvia Villa, Saverio Salzo, Luca Baldassarre, Alessandro Verri
Accelerated and Inexact Forward-Backward Algorithms. SIAM J. Optim. 23 (3) (2013)
Nirav Bhan, Luca Baldassarre, Volkan Cevher
Tractability of interpretability via selection of group-sparse models. GlobalSIP (2013)
Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil
On Sparsity Inducing Regularization Methods for Machine Learning CoRR (2013)
Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre
Convexity in source separation: Models, geometry, and algorithms. CoRR (2013)
Jessica Schrouff, Julien Crémers, Gaëtan Garraux, Luca Baldassarre, Janaina Mourão Miranda, Christophe Phillips
Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models. PRNI (2013)
Luca Baldassarre, Janaina Mourão Miranda, Massimiliano Pontil
Structured Sparsity Models for Brain Decoding from fMRI Data. PRNI (2012)
Steffen Grünewälder, Guy Lever, Luca Baldassarre, Sam Patterson, Arthur Gretton, Massimiliano Pontil
Conditional mean embeddings as regressors - supplementary CoRR (2012)
Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri
Multi-output learning via spectral filtering. Mach. Learn. 87 (3) (2012)
Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton
Modelling transition dynamics in MDPs with RKHS embeddings CoRR (2012)
Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil
A General Framework for Structured Sparsity via Proximal Optimization. AISTATS (2012)
Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton
Modelling transition dynamics in MDPs with RKHS embeddings. ICML (2012)
Pierre Machart, Sandrine Anthoine, Luca Baldassarre
Optimal Computational Trade-Off of Inexact Proximal Methods CoRR (2012)
Steffen Grünewälder, Guy Lever, Arthur Gretton, Luca Baldassarre, Sam Patterson, Massimiliano Pontil
Conditional mean embeddings as regressors. ICML (2012)
Andreas Argyriou, Luca Baldassarre, Jean Morales, Massimiliano Pontil
A General Framework for Structured Sparsity via Proximal Optimization CoRR (2011)
Annalisa Barla, Luca Baldassarre, Nicoletta Noceti, Francesca Odone
Learning how to grasp objects. ESANN (2010)
Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri
Vector Field Learning via Spectral Filtering. ECML/PKDD (1) (2010)
Nicoletta Noceti, Barbara Caputo, Claudio Castellini, Luca Baldassarre, Annalisa Barla, Lorenzo Rosasco, Francesca Odone, Giulio Sandini
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents. ICIAP (2009)
Luca Baldassarre, Annalisa Barla, Barbara Gianesin, Mauro Marinelli
Vector valued regression for iron overload estimation. ICPR (2008)