Personal information

Keywords

machine learning, statistical physics

Countries

Brazil

Activities

Collapse all

Employment (6)

Microsoft Research: São Paulo, BR

2021-07 to present | Senior Research Software Engineer
Employment
Source: Self-asserted source
Andre Manoel

Hospital Israelita Albert Einstein: São Paulo, BR

2020-03 to 2021-06 | Data Scientist (Big Data & Analytics)
Employment
Source: Self-asserted source
Andre Manoel

Owkin: Paris, FR

2018-09 to 2020-01 | Machine Learning Scientist
Employment
Source: Self-asserted source
Andre Manoel

Inria Saclay: Palaiseau, FR

2017-12 to 2018-08 | Postdoctoral Researcher (Équipe Parietal)
Employment
Source: Self-asserted source
Andre Manoel

CEA Saclay Gif-sur-Yvette FR: Gif-sur-Yvette, FR

2016-12 to 2017-09 | Postdoctoral Researcher (Neurospin)
Employment
Source: Self-asserted source
Andre Manoel

École Normale Supérieure: Paris, Île-de-France, FR

2015-11 to 2016-11 | Postdoctoral Researcher (Laboratoire de Physique Statistique)
Employment
Source: Self-asserted source
Andre Manoel

Education and qualifications (3)

University of São Paulo: São Paulo, BR

2012-04 to 2015-09 | DSc, Physics (Institue of Physics)
Education
Source: Self-asserted source
Andre Manoel

University of São Paulo: São Paulo, BR

2010-01 to 2012-04 | MSc, Physics (Institute of Physics)
Education
Source: Self-asserted source
Andre Manoel

University of São Paulo: São Paulo, BR

2006-01 to 2009-12 | BSc, Physics (Institute of Physics)
Education
Source: Self-asserted source
Andre Manoel

Works (13)

Efficient Per-Example Gradient Computations in Convolutional Neural Networks

Theory and Practice of Differential Privacy (TPDP) workshop at CCS 2020
2020 | Conference paper
ARXIV: arXiv:1912.06015v1
Source: Self-asserted source
Andre Manoel

Federated Survival Analysis with Discrete-Time Cox Models

International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2020 (FL-ICML'20)
2020 | Conference paper
ARXIV: arXiv:2006.08997v1
Source: Self-asserted source
Andre Manoel

Entropy and mutual information in models of deep neural networks

Journal of Statistical Mechanics: Theory and Experiment
2019-12-20 | Journal article
DOI: 10.1088/1742-5468/ab3430
Part of ISSN: 1742-5468
Source: Self-asserted source
Andre Manoel

Entropy and mutual information in models of deep neural networks

Neural Information Processing Systems (NeurIPS)
2018 | Conference paper
ARXIV: 1805.09785
Source: Self-asserted source
Andre Manoel

Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines

Physical Review X
2018-10-08 | Journal article
DOI: 10.1103/physrevx.8.041006
Part of ISSN: 2160-3308
ARXIV: 1702.03260
Source: Self-asserted source
Andre Manoel

Approximate message-passing for convex optimization with non-separable penalties

2018-09-17 | Preprint
ARXIV: arXiv:1809.06304v1
Source: Self-asserted source
Andre Manoel

Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing

2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
2017-10 | Conference paper
DOI: 10.1109/allerton.2017.8262853
Part of ISBN: 9781538632666
ARXIV: 1706.00705
Source: Self-asserted source
Andre Manoel

Multi-layer generalized linear estimation

2017 IEEE International Symposium on Information Theory (ISIT)
2017-06 | Conference paper
DOI: 10.1109/isit.2017.8006899
Part of ISBN: 9781509040964
ARXIV: 1701.06981
Source: Self-asserted source
Andre Manoel

Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines

2016 IEEE Information Theory Workshop (ITW)
2016-09 | Conference paper
DOI: 10.1109/itw.2016.7606837
ISBN: 9781509010905
Source: Self-asserted source
Andre Manoel

Sparse Estimation with the Swept Approximated Message-Passing Algorithm

International Conference on Machine Learning (ICML)
2015 | Conference paper
ARXIV: 1406.4311
Source: Self-asserted source
Andre Manoel

Expectation Propagation

Statistical Physics, Optimization, Inference, and Message-Passing Algorithms
2015-09 | Book chapter
Part of ISBN: 9780198743736
ARXIV: 1409.6179
Source: Self-asserted source
Andre Manoel

Variational free energies for compressed sensing

2014 IEEE International Symposium on Information Theory (ISIT)
2014-06 | Conference paper
DOI: 10.1109/isit.2014.6875083
Part of ISBN: 9781479951864
ARXIV: 1402.1384
Source: Self-asserted source
Andre Manoel

Statistical mechanics of reputation systems in autonomous networks

Journal of Statistical Mechanics: Theory and Experiment
2013-08-06 | Journal article
DOI: 10.1088/1742-5468/2013/08/p08002
Part of ISSN: 1742-5468
ARXIV: 1211.6462
Source: Self-asserted source
Andre Manoel
How many people are using ORCID?