Luigi Malagò

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 19

Top Topics

Natural Gradient

Information Geometry

Combinatorial Optimization

Tumor Detection

Top Venues

Publications

Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay
Natural Reweighted Wake-Sleep. Neural Networks 155 (2022)
Riccardo Volpi, Uddhipan Thakur, Luigi Malagò
Changing the Geometry of Representations: α-Embeddings for NLP Tasks. Entropy 23 (3) (2021)
Robert-George Colt, Csongor-Huba Várady, Riccardo Volpi, Luigi Malagò
Automatic Feature Extraction for Heartbeat Anomaly Detection. CoRR (2021)
Goffredo Chirco, Luigi Malagò, Giovanni Pistone
Lagrangian and Hamiltonian Mechanics for Probabilities on the Statistical Manifold. CoRR (2020)
Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò
Parameters Estimation from the 21 cm signal using Variational Inference. CoRR (2020)
Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò
Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder. NLDL (2020)
Petru Hlihor, Riccardo Volpi, Luigi Malagò
Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks. NLDL (2020)
Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò
Accelerating MCMC algorithms through Bayesian Deep Networks. CoRR (2020)
Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay
Natural Wake-Sleep Algorithm. CoRR (2020)
Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
Constraining the Reionization History using Bayesian Normalizing Flows. CoRR (2020)
Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences. CoRR (2020)
Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
Constraining the Reionization History using Bayesian Normalizing Flows. Mach. Learn. Sci. Technol. 1 (3) (2020)
Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò
Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations. CoRR (2020)
Riccardo Volpi, Luigi Malagò
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks. RepL4NLP@ACL (2020)
Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks. CoRR (2019)
Septimia Sârbu, Luigi Malagò
Variational autoencoders trained with q-deformed lower bounds. DGS@ICLR (2019)
Riccardo Volpi, Luigi Malagò
Natural Alpha Embeddings. CoRR (2019)
Septimia Sârbu, Riccardo Volpi, Alexandra Peste, Luigi Malagò
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds. CoRR (2018)
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
Tutorials at PPSN 2016. PPSN (2016)
Luigi Malagò, Giovanni Pistone
Natural Gradient Flow in the Mixture Geometry of a Discrete Exponential Family. Entropy 17 (6) (2015)
Luigi Malagò, Giovanni Pistone
Information Geometry of the Gaussian Distribution in View of Stochastic Optimization. FOGA (2015)
Luigi Malagò, Giovanni Pistone
Second-Order Optimization over the Multivariate Gaussian Distribution. GSI (2015)
Luigi Malagò, Tobias Glasmachers
Information geometry in evolutionary computation. GECCO (Companion) (2014)
Luigi Malagò, Giovanni Pistone
Combinatorial Optimization with Information Geometry: The Newton Method. Entropy 16 (8) (2014)
Luigi Malagò, Matteo Matteucci, Giovanni Pistone
Natural gradient, fitness modelling and model selection: A unifying perspective. IEEE Congress on Evolutionary Computation (2013)
Luigi Malagò, Matteo Matteucci
Robust Estimation of Natural Gradient in Optimization by Regularized Linear Regression. GSI (2013)
Emanuele Corsano, Davide A. Cucci, Luigi Malagò, Matteo Matteucci
Implicit Model Selection Based on Variable Transformations in Estimation of Distribution. LION (2012)
Gabriele Valentini, Luigi Malagò, Matteo Matteucci
Optimization by ℓ1-Constrained Markov Fitness Modelling. LION (2012)
Davide A. Cucci, Luigi Malagò, Matteo Matteucci
Variable Transformations in Estimation of Distribution Algorithms. PPSN (1) (2012)
Luigi Malagò, Matteo Matteucci, Gabriele Valentini
Introducing ℓ1-regularized logistic regression in Markov Networks based EDAs. IEEE Congress on Evolutionary Computation (2011)
Luigi Malagò, Matteo Matteucci, Giovanni Pistone
Towards the geometry of estimation of distribution algorithms based on the exponential family. FOGA (2011)
Luigi Malagò, Matteo Matteucci, Giovanni Pistone
Stochastic Natural Gradient Descent by estimation of empirical covariances. IEEE Congress on Evolutionary Computation (2011)
Gabriele Valentini, Luigi Malagò, Matteo Matteucci
Evoptool: An extensible toolkit for evolutionary optimization algorithms comparison. IEEE Congress on Evolutionary Computation (2010)
Luigi Malagò, Matteo Matteucci, Bernardo Dal Seno
An information geometry perspective on estimation of distribution algorithms: boundary analysis. GECCO (Companion) (2008)