Luigi Malagò

Uddhipan Thakur

Entropy, 2021

Automatic Feature Extraction for Heartbeat Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Constraining the Reionization History using Bayesian Normalizing Flows.

[BibT_eX]

[DOI]

Héctor J. Hortúa

Mach. Learn. Sci. Technol., 2020

Accelerating MCMC algorithms through Bayesian Deep Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Lagrangian and Hamiltonian Mechanics for Probabilities on the Statistical Manifold.

[BibT_eX]

[DOI]

Goffredo Chirco

CoRR, 2020

Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences.

[BibT_eX]

[DOI]

Héctor J. Hortúa

CoRR, 2020

Natural Wake-Sleep Algorithm.

[BibT_eX]

[DOI]

CoRR, 2020

Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations.

[BibT_eX]

[DOI]

Alexandra-Ioana Albu

Alina Enescu

CoRR, 2020

Parameters Estimation from the 21 cm signal using Variational Inference.

[BibT_eX]

[DOI]

Héctor J. Hortúa

CoRR, 2020

Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks.

[BibT_eX]

[DOI]

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks.

[BibT_eX]

[DOI]

Petru Hlihor

Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020

Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder.

[BibT_eX]

[DOI]

Alexandra-Ioana Albu

Alina Enescu

Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020

2019

Natural Alpha Embeddings.

[BibT_eX]

[DOI]

CoRR, 2019

Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Variational autoencoders trained with q-deformed lower bounds.

[BibT_eX]

[DOI]

Septimia Sârbu

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018

Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds.

[BibT_eX]

[DOI]

CoRR, 2018

2016

Tutorials at PPSN 2016.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

2015

Natural Gradient Flow in the Mixture Geometry of a Discrete Exponential Family.

[BibT_eX]

[DOI]

Entropy, 2015

Second-Order Optimization over the Multivariate Gaussian Distribution.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - Second International Conference, 2015

Information Geometry of the Gaussian Distribution in View of Stochastic Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 2015

2014

Combinatorial Optimization with Information Geometry: The Newton Method.

[BibT_eX]

[DOI]

Entropy, 2014

Information geometry in evolutionary computation.

[BibT_eX]

[DOI]

Tobias Glasmachers

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Robust Estimation of Natural Gradient in Optimization by Regularized Linear Regression.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - First International Conference, 2013

Natural gradient, fitness modelling and model selection: A unifying perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

On the geometry of optimization based on the exponential family relaxation.

[BibT_eX]

[DOI]

PhD thesis, 2012

Variable Transformations in Estimation of Distribution Algorithms.

[BibT_eX]

[DOI]

Davide A. Cucci

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Optimization by ℓ1-Constrained Markov Fitness Modelling.

[BibT_eX]

[DOI]

Gabriele Valentini

Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Implicit Model Selection Based on Variable Transformations in Estimation of Distribution.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

2011

Towards the geometry of estimation of distribution algorithms based on the exponential family.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

Introducing ℓ1-regularized logistic regression in Markov Networks based EDAs.

[BibT_eX]

[DOI]

Gabriele Valentini

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Stochastic Natural Gradient Descent by estimation of empirical covariances.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Evoptool: An extensible toolkit for evolutionary optimization algorithms comparison.

[BibT_eX]

[DOI]

Gabriele Valentini

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2008

An information geometry perspective on estimation of distribution algorithms: boundary analysis.

[BibT_eX]

[DOI]