Luigi Malagò - RankMe

37 papers A 3B 4C 1Journal 17Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The CAPSARII Approach to Cyber-Secure Wearable, Ultra-Low-Power Networked Sensors for Soldier Health Monitoring. CoRR Luciano Bozzi, Christian Celidonio, Umberto Nuzzi, Massimo Biagini, Stefano Cherubin, Asbjørn Djupdal, Tor A. Haugdahl, Andrea Aliverti, Alessandra Angelucci, Giovanni Agosta, Gerardo Pelosi, Paolo Belluco, Samuele Polistina, Riccardo Volpi, Luigi Malagò, Michael Schneider, Florian Wieczorek, Xabier Eguiluz
2025	C	`conf`	The CAPSARII Approach to Cyber-Secure Wearable, Ultra-Low-Power Networked Sensors for Soldier Health Monitoring. DSD Luciano Bozzi, Christian Celidonio, Umberto Nuzzi, Massimo Biagini, Stefano Cherubin, Asbjørn Djupdal, Tor A. Haugdahl, Andrea Aliverti, Alessandra Angelucci, Giovanni Agosta, Gerardo Pelosi, Paolo Belluco, Samuele Polistina, Riccardo Volpi, Luigi Malagò, Michael Schneider, Florian Wieczorek, Xabier Eguiluz
2022	J	`jnl`	Natural Reweighted Wake-Sleep. Neural Networks Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay
2021	J	`jnl`	Automatic Feature Extraction for Heartbeat Anomaly Detection. CoRR Robert-George Colt, Csongor-Huba Várady, Riccardo Volpi, Luigi Malagò
2021	J	`jnl`	Changing the Geometry of Representations: α-Embeddings for NLP Tasks. Entropy Riccardo Volpi, Uddhipan Thakur, Luigi Malagò
2020	J	`jnl`	Accelerating MCMC algorithms through Bayesian Deep Networks. CoRR Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò
2020	J	`jnl`	Constraining the Reionization History using Bayesian Normalizing Flows. CoRR Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
2020	J	`jnl`	Constraining the Reionization History using Bayesian Normalizing Flows. Mach. Learn. Sci. Technol. Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
2020	—	`conf`	Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks. RepL4NLP@ACL Riccardo Volpi, Luigi Malagò
2020	—	`conf`	Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks. NLDL Petru Hlihor, Riccardo Volpi, Luigi Malagò
2020	J	`jnl`	Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations. CoRR Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò
2020	J	`jnl`	Lagrangian and Hamiltonian Mechanics for Probabilities on the Statistical Manifold. CoRR Goffredo Chirco, Luigi Malagò, Giovanni Pistone
2020	J	`jnl`	Natural Wake-Sleep Algorithm. CoRR Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay
2020	J	`jnl`	Parameters Estimation from the 21 cm signal using Variational Inference. CoRR Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò
2020	J	`jnl`	Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences. CoRR Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
2020	—	`conf`	Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder. NLDL Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò
2019	J	`jnl`	Natural Alpha Embeddings. CoRR Riccardo Volpi, Luigi Malagò
2019	J	`jnl`	Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks. CoRR Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò
2019	—	`conf`	Variational autoencoders trained with q-deformed lower bounds. DGS@ICLR Septimia Sârbu, Luigi Malagò
2018	J	`jnl`	Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds. CoRR Septimia Sârbu, Riccardo Volpi, Alexandra Peste, Luigi Malagò
2016	A	`conf`	Tutorials at PPSN 2016. PPSN Carola Doerr, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer
2015	A	`conf`	Information Geometry of the Gaussian Distribution in View of Stochastic Optimization. FOGA Luigi Malagò, Giovanni Pistone
2015	J	`jnl`	Natural Gradient Flow in the Mixture Geometry of a Discrete Exponential Family. Entropy Luigi Malagò, Giovanni Pistone
2015	—	`conf`	Second-Order Optimization over the Multivariate Gaussian Distribution. GSI Luigi Malagò, Giovanni Pistone
2014	J	`jnl`	Combinatorial Optimization with Information Geometry: The Newton Method. Entropy Luigi Malagò, Giovanni Pistone
2014	—	`conf`	Information geometry in evolutionary computation. GECCO (Companion) Luigi Malagò, Tobias Glasmachers
2013	B	`conf`	Natural gradient, fitness modelling and model selection: A unifying perspective. IEEE Congress on Evolutionary Computation Luigi Malagò, Matteo Matteucci, Giovanni Pistone
2013	—	`conf`	Robust Estimation of Natural Gradient in Optimization by Regularized Linear Regression. GSI Luigi Malagò, Matteo Matteucci
2012	—	`conf`	Implicit Model Selection Based on Variable Transformations in Estimation of Distribution. LION Emanuele Corsano, Davide A. Cucci, Luigi Malagò, Matteo Matteucci
2012	—	`—`	On the geometry of optimization based on the exponential family relaxation. Luigi Malagò
2012	—	`conf`	Optimization by ℓ1-Constrained Markov Fitness Modelling. LION Gabriele Valentini, Luigi Malagò, Matteo Matteucci
2012	—	`conf`	Variable Transformations in Estimation of Distribution Algorithms. PPSN (1) Davide A. Cucci, Luigi Malagò, Matteo Matteucci
2011	B	`conf`	Introducing ℓ1-regularized logistic regression in Markov Networks based EDAs. IEEE Congress on Evolutionary Computation Luigi Malagò, Matteo Matteucci, Gabriele Valentini
2011	B	`conf`	Stochastic Natural Gradient Descent by estimation of empirical covariances. IEEE Congress on Evolutionary Computation Luigi Malagò, Matteo Matteucci, Giovanni Pistone
2011	A	`conf`	Towards the geometry of estimation of distribution algorithms based on the exponential family. FOGA Luigi Malagò, Matteo Matteucci, Giovanni Pistone
2010	B	`conf`	Evoptool: An extensible toolkit for evolutionary optimization algorithms comparison. IEEE Congress on Evolutionary Computation Gabriele Valentini, Luigi Malagò, Matteo Matteucci
2008	—	`conf`	An information geometry perspective on estimation of distribution algorithms: boundary analysis. GECCO (Companion) Luigi Malagò, Matteo Matteucci, Bernardo Dal Seno