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ORCIDLuca Baldassarre
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2010 – 2019
- 2018
[j6]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. 65-I(11): 3929-3941 (2018)- [c22]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: 228-231 - 2017
- [c21]Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher:
DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems. Conf. Computing Frontiers 2017: 391-394 - 2016
- [j5]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): 809-822 (2016) - [j4]Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis, Siddhartha Satpathi:
Group-Sparse Model Selection: Hardness and Relaxations. IEEE Trans. Inf. Theory 62(11): 6508-6534 (2016) - [c20]Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher:
Convex Block-sparse Linear Regression with Expanders - Provably. AISTATS 2016: 19-27 - [c19]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: 433-438 - [i10]Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher:
Convex block-sparse linear regression with expanders - provably. CoRR abs/1603.06313 (2016) - 2015
- [c18]Luca Baldassarre, Cosimo Aprile, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher:
Structured sampling and recovery of iEEG signals. CAMSAP 2015: 269-272 - [c17]Baran Gozcu, Luca Baldassarre, Quoc Tran-Dinh, Cosimo Aprile, Volkan Cevher:
A primal-dual framework for mixtures of regularizers. EUSIPCO 2015: 240-244 - [c16]Siddhartha Satpathi, Luca Baldassarre, Volkan Cevher:
Sparse group covers and greedy tree approximations. ISIT 2015: 551-555 - [i9]Anastasios Kyrillidis, Luca Baldassarre, Marwa El Halabi, Quoc Tran-Dinh, Volkan Cevher:
Structured Sparsity: Discrete and Convex approaches. CoRR abs/1507.05367 (2015) - [i8]Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher:
Learning-based Compressive Subsampling. CoRR abs/1510.06188 (2015) - 2014
- [j3]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): 87-95 (2014) - [c15]Marwa El Halabi, Luca Baldassarre, Volkan Cevher:
Map estimation for Bayesian mixture models with submodular priors. MLSP 2014: 1-6 - [c14]Bubacarr Bah, Luca Baldassarre, Volkan Cevher:
Model-based Sketching and Recovery with Expanders. SODA 2014: 1529-1543 - 2013
- [j2]Silvia Villa, Saverio Salzo, Luca Baldassarre, Alessandro Verri:
Accelerated and Inexact Forward-Backward Algorithms. SIAM J. Optim. 23(3): 1607-1633 (2013) - [c13]Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil:
On Sparsity Inducing Regularization Methods for Machine Learning. Empirical Inference 2013: 205-216 - [c12]Marwa El Halabi, Luca Baldassarre, Volkan Cevher:
To convexify or not? Regression with clustering penalties on graphs. CAMSAP 2013: 21-24 - [c11]Nirav Bhan, Luca Baldassarre, Volkan Cevher:
Tractability of interpretability via selection of group-sparse models. GlobalSIP 2013: 632 - [c10]Nirav Bhan, Luca Baldassarre, Volkan Cevher:
Tractability of interpretability via selection of group-sparse models. ISIT 2013: 1037-1041 - [c9]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: 124-127 - [i7]Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis:
Group-Sparse Model Selection: Hardness and Relaxations. CoRR abs/1303.3207 (2013) - [i6]Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil:
On Sparsity Inducing Regularization Methods for Machine Learning. CoRR abs/1303.6086 (2013) - [i5]Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre:
Convexity in source separation: Models, geometry, and algorithms. CoRR abs/1311.0258 (2013) - 2012
- [j1]Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri:
Multi-output learning via spectral filtering. Mach. Learn. 87(3): 259-301 (2012) - [c8]Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton:
Modelling transition dynamics in MDPs with RKHS embeddings. ICML 2012 - [c7]Steffen Grünewälder, Guy Lever, Arthur Gretton, Luca Baldassarre, Sam Patterson, Massimiliano Pontil:
Conditional mean embeddings as regressors. ICML 2012 - [c6]Luca Baldassarre, Janaina Mourão Miranda, Massimiliano Pontil:
Structured Sparsity Models for Brain Decoding from fMRI Data. PRNI 2012: 5-8 - [c5]Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil:
A General Framework for Structured Sparsity via Proximal Optimization. AISTATS 2012: 82-90 - [i4]Steffen Grünewälder, Guy Lever, Luca Baldassarre, Sam Patterson, Arthur Gretton, Massimiliano Pontil:
Conditional mean embeddings as regressors - supplementary. CoRR abs/1205.4656 (2012) - [i3]Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton:
Modelling transition dynamics in MDPs with RKHS embeddings. CoRR abs/1206.4655 (2012) - [i2]Pierre Machart, Sandrine Anthoine, Luca Baldassarre:
Optimal Computational Trade-Off of Inexact Proximal Methods. CoRR abs/1210.5034 (2012) - 2011
- [i1]Andreas Argyriou, Luca Baldassarre, Jean Morales, Massimiliano Pontil:
A General Framework for Structured Sparsity via Proximal Optimization. CoRR abs/1106.5236 (2011) - 2010
- [c4]Annalisa Barla, Luca Baldassarre, Nicoletta Noceti, Francesca Odone:
Learning how to grasp objects. ESANN 2010 - [c3]Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri:
Vector Field Learning via Spectral Filtering. ECML/PKDD (1) 2010: 56-71
2000 – 2009
- 2009
- [c2]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: 239-248 - 2008
- [c1]Luca Baldassarre, Annalisa Barla, Barbara Gianesin, Mauro Marinelli:
Vector valued regression for iron overload estimation. ICPR 2008: 1-4
Coauthor Index
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