Luca Baldassarre

39 papers A* 3A 2B 4Misc 1Journal 16Unranked 13
YearRankTypeTitle / Venue / Authors
2025 — conf
Scaling Responsible Generative AI: Automating Red Teaming of LLM Applications.
CAI
Adison Goh, Benjamin Chee, Matteo Vagnoli, Luca Baldassarre, Akshay Narayan
2018 J jnl
Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants.
IEEE Trans. Circuits Syst. I Regul. Pap.
Cosimo Aprile, Kerim Türe, Luca Baldassarre, Mahsa Shoaran, Gürkan Yilmaz, Franco Maloberti, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher
2018 — conf
An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems.
CF
Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher
2017 — conf
DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems.
Conf. Computing Frontiers
Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher
2016 A conf
Convex Block-sparse Linear Regression with Expanders - Provably.
AISTATS
Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher
2016 J jnl
Convex block-sparse linear regression with expanders - provably.
CoRR
Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher
2016 J jnl
Group-Sparse Model Selection: Hardness and Relaxations.
IEEE Trans. Inf. Theory
Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis, Siddhartha Satpathi
2016 J jnl
Learning-Based Compressive Subsampling.
IEEE J. Sel. Top. Signal Process.
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gozcu, Ilija Bogunovic, Volkan Cevher
2016 — conf
Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition.
ACM Great Lakes Symposium on VLSI
Cosimo Aprile, Luca Baldassarre, Vipul Gupta, Juhwan Yoo, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher
2015 — conf
A primal-dual framework for mixtures of regularizers.
EUSIPCO
Baran Gozcu, Luca Baldassarre, Quoc Tran-Dinh, Cosimo Aprile, Volkan Cevher
2015 J jnl
Learning-based Compressive Subsampling.
CoRR
Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher
2015 B conf
Sparse group covers and greedy tree approximations.
ISIT
Siddhartha Satpathi, Luca Baldassarre, Volkan Cevher
2015 J jnl
Structured Sparsity: Discrete and Convex approaches.
CoRR
Anastasios Kyrillidis, Luca Baldassarre, Marwa El Halabi, Quoc Tran-Dinh, Volkan Cevher
2015 — conf
Structured sampling and recovery of iEEG signals.
CAMSAP
Luca Baldassarre, Cosimo Aprile, Mahsa Shoaran, Yusuf Leblebici, Volkan Cevher
2014 J jnl
Convexity in Source Separation : Models, geometry, and algorithms.
IEEE Signal Process. Mag.
Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre
2014 — conf
Map estimation for Bayesian mixture models with submodular priors.
MLSP
Marwa El Halabi, Luca Baldassarre, Volkan Cevher
2014 A* conf
Model-based Sketching and Recovery with Expanders.
SODA
Bubacarr Bah, Luca Baldassarre, Volkan Cevher
2013 J jnl
Accelerated and Inexact Forward-Backward Algorithms.
SIAM J. Optim.
Silvia Villa, Saverio Salzo, Luca Baldassarre, Alessandro Verri
2013 J jnl
Convexity in source separation: Models, geometry, and algorithms.
CoRR
Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre
2013 J jnl
Group-Sparse Model Selection: Hardness and Relaxations
CoRR
Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis
2013 — conf
Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models.
PRNI
Jessica Schrouff, Julien Crémers, Gaëtan Garraux, Luca Baldassarre, Janaina Mourão Miranda, Christophe Phillips
2013 J jnl
On Sparsity Inducing Regularization Methods for Machine Learning
CoRR
Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil
2013 — conf
On Sparsity Inducing Regularization Methods for Machine Learning.
Empirical Inference
Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil
2013 — conf
To convexify or not? Regression with clustering penalties on graphs.
CAMSAP
Marwa El Halabi, Luca Baldassarre, Volkan Cevher
2013 — conf
Tractability of interpretability via selection of group-sparse models.
GlobalSIP
Nirav Bhan, Luca Baldassarre, Volkan Cevher
2013 B conf
Tractability of interpretability via selection of group-sparse models.
ISIT
Nirav Bhan, Luca Baldassarre, Volkan Cevher
2012 A conf
A General Framework for Structured Sparsity via Proximal Optimization.
AISTATS
Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil
2012 J jnl
Conditional mean embeddings as regressors - supplementary
CoRR
Steffen Grünewälder, Guy Lever, Luca Baldassarre, Sam Patterson, Arthur Gretton, Massimiliano Pontil
2012 A* conf
Conditional mean embeddings as regressors.
ICML
Steffen Grünewälder, Guy Lever, Arthur Gretton, Luca Baldassarre, Sam Patterson, Massimiliano Pontil
2012 J jnl
Modelling transition dynamics in MDPs with RKHS embeddings
CoRR
Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton
2012 A* conf
Modelling transition dynamics in MDPs with RKHS embeddings.
ICML
Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton
2012 J jnl
Multi-output learning via spectral filtering.
Mach. Learn.
Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri
2012 J jnl
Optimal Computational Trade-Off of Inexact Proximal Methods
CoRR
Pierre Machart, Sandrine Anthoine, Luca Baldassarre
2012 — conf
Structured Sparsity Models for Brain Decoding from fMRI Data.
PRNI
Luca Baldassarre, Janaina Mourão Miranda, Massimiliano Pontil
2011 J jnl
A General Framework for Structured Sparsity via Proximal Optimization
CoRR
Andreas Argyriou, Luca Baldassarre, Jean Morales, Massimiliano Pontil
2010 B conf
Learning how to grasp objects.
ESANN
Annalisa Barla, Luca Baldassarre, Nicoletta Noceti, Francesca Odone
2010 — conf
Vector Field Learning via Spectral Filtering.
ECML/PKDD (1)
Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri
2009 Misc conf
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents.
ICIAP
Nicoletta Noceti, Barbara Caputo, Claudio Castellini, Luca Baldassarre, Annalisa Barla, Lorenzo Rosasco, Francesca Odone, Giulio Sandini
2008 B conf
Vector valued regression for iron overload estimation.
ICPR
Luca Baldassarre, Annalisa Barla, Barbara Gianesin, Mauro Marinelli