Vector valued regression for iron overload estimation. - Luca Baldassarre; Annalisa Barla; Barbara Gianesin; Mauro Marinelli (ICPR, 2008)

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 (ICIAP, 2009)

Learning how to grasp objects. - Annalisa Barla; Luca Baldassarre; Nicoletta Noceti; Francesca Odone (ESANN, 2010)

Vector Field Learning via Spectral Filtering. - Luca Baldassarre; Lorenzo Rosasco; Annalisa Barla; Alessandro Verri (ECML/PKDD (1), 2010)

Modelling transition dynamics in MDPs with RKHS embeddings. - Steffen Grünewälder; Guy Lever; Luca Baldassarre; Massimiliano Pontil; Arthur Gretton (ICML, 2012)

Conditional mean embeddings as regressors. - Steffen Grünewälder; Guy Lever; Arthur Gretton; Luca Baldassarre; Sam Patterson; Massimiliano Pontil (ICML, 2012)

Structured Sparsity Models for Brain Decoding from fMRI Data. - Luca Baldassarre; Janaina Mourão Miranda; Massimiliano Pontil (PRNI, 2012)

Conditional mean embeddings as regressors - supplementary - Steffen Grünewälder; Guy Lever; Luca Baldassarre; Sam Patterson; Arthur Gretton; Massimiliano Pontil (CoRR, 2012)

Optimal Computational Trade-Off of Inexact Proximal Methods - Pierre Machart; Sandrine Anthoine; Luca Baldassarre (CoRR, 2012)

A General Framework for Structured Sparsity via Proximal Optimization. - Luca Baldassarre; Jean Morales; Andreas Argyriou; Massimiliano Pontil (AISTATS, 2012)

Multi-output learning via spectral filtering. - Luca Baldassarre; Lorenzo Rosasco; Annalisa Barla; Alessandro Verri (Mach. Learn., 2012)

On Sparsity Inducing Regularization Methods for Machine Learning. - Andreas Argyriou; Luca Baldassarre; Charles A. Micchelli; Massimiliano Pontil (Empirical Inference, 2013)

To convexify or not? Regression with clustering penalties on graphs. - Marwa El Halabi; Luca Baldassarre; Volkan Cevher (CAMSAP, 2013)

Tractability of interpretability via selection of group-sparse models. - Nirav Bhan; Luca Baldassarre; Volkan Cevher (GlobalSIP, 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 (PRNI, 2013)

Group-Sparse Model Selection: Hardness and Relaxations - Luca Baldassarre; Nirav Bhan; Volkan Cevher; Anastasios Kyrillidis (CoRR, 2013)

Accelerated and Inexact Forward-Backward Algorithms. - Silvia Villa; Saverio Salzo; Luca Baldassarre; Alessandro Verri (SIAM J. Optim., 2013)

Map estimation for Bayesian mixture models with submodular priors. - Marwa El Halabi; Luca Baldassarre; Volkan Cevher (MLSP, 2014)

Model-based Sketching and Recovery with Expanders. - Bubacarr Bah; Luca Baldassarre; Volkan Cevher (SODA, 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)

Structured sampling and recovery of iEEG signals. - Luca Baldassarre; Cosimo Aprile; Mahsa Shoaran; Yusuf Leblebici; Volkan Cevher (CAMSAP, 2015)

A primal-dual framework for mixtures of regularizers. - Baran Gozcu; Luca Baldassarre; Quoc Tran-Dinh; Cosimo Aprile; Volkan Cevher (EUSIPCO, 2015)

Sparse group covers and greedy tree approximations. - Siddhartha Satpathi; Luca Baldassarre; Volkan Cevher (ISIT, 2015)

Structured Sparsity: Discrete and Convex approaches. - Anastasios Kyrillidis; Luca Baldassarre; Marwa El Halabi; Quoc Tran-Dinh; Volkan Cevher (CoRR, 2015)

Convex Block-sparse Linear Regression with Expanders - Provably. - Anastasios Kyrillidis; Bubacarr Bah; Rouzbeh Hasheminezhad; Quoc Tran-Dinh; Luca Baldassarre; Volkan Cevher (AISTATS, 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 (ACM Great Lakes Symposium on VLSI, 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)

Group-Sparse Model Selection: Hardness and Relaxations. - Luca Baldassarre; Nirav Bhan; Volkan Cevher; Anastasios Kyrillidis; Siddhartha Satpathi (IEEE Trans. Inf. Theory, 2016)

DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems. - Cosimo Aprile; Johannes Wüthrich; Luca Baldassarre; Yusuf Leblebici; Volkan Cevher (Conf. Computing Frontiers, 2017)

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 (CF, 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)