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Learning To Run a Power Network Competition

Antoine Marot , Balthazar Donon , Isabelle Guyon , Benjamin Donnot
CiML Workshop, NeurIPS, Dec 2018, Montréal, Canada
Conference papers hal-01968295v1
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Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data

Nicolas Girard , Guillaume Charpiat , Yuliya Tarabalka
IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan
Conference papers hal-02065211v1
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Towards Automated Computer Vision: Analysis of the AutoCV Challenges 2019

Zhengying Liu , Zhen Xu , Sergio Escalera , Isabelle Guyon , Julio C S Jacques Junior , et al.
Pattern Recognition Letters, 2020, 135, pp.196-203
Journal articles hal-02386805v1
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Introduction to multivariate discrimination

Balázs Kégl
IN2P3 School of Statistics (SOS2012), May 2012, Autrans, France. pp.022001, ⟨10.1051/epjconf/20135502001⟩
Conference papers in2p3-00846125v1
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The Fundamental Diagram on the Ring Geometry for Particle Processes with Acceleration/Braking Asymmetry

Cyril Furtlehner , Jean-Marc Lasgouttes , Maxim Samsonov
TGF'11 - Traffic and Granular Flow, Sep 2011, Moscou, Russia
Conference papers hal-00646988v1
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Solving the inverse Ising problem by mean-field methods in a clustered phase space with many states

Aurélien Decelle , Federico Ricci-Tersenghi
Physical Review E , 2016, ⟨10.1103/PhysRevE.94.012112⟩
Journal articles hal-01250824v1
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Per instance algorithm configuration of CMA-ES with limited budget

Nacim Belkhir , Johann Dreo , Pierre Savéant , Marc Schoenauer
GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference , Jul 2017, Berlin, Germany. pp. 681-688
Conference papers hal-01613753v1
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Systematics aware learning: a case study in High Energy Physics

Victor Estrade , Cécile Germain , Isabelle Guyon , David Rousseau
ESANN 2018 - 26th European Symposium on Artificial Neural Networks, Apr 2018, Bruges, Belgium
Conference papers hal-01715155v1

Learning Functional Causal Models with Generative Neural Networks

Olivier Goudet , Diviyan Kalainathan , Philippe Caillou , David Lopez-Paz , Isabelle Guyon , et al.
Explainable and Interpretable Models in Computer Vision and Machine Learning, Springer International Publishing, 2018, Springer Series on Challenges in Machine Learning, 978-3-319-98131-4. ⟨10.1007/978-3-319-98131-4⟩
Book sections hal-01649153v1
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Fast Power system security analysis with Guided Dropout, supplemental material

Benjamin Donnot , Isabelle Guyon , Marc Schoenauer , Antoine Marot , Patrick Panciatici
Preprints, Working Papers, ... hal-01649938v1

Estimation of nonparametric dynamical models within Reproducing Kernel Hilbert Spaces for network inference

Florence d'Alché-Buc , Néhémy Lim , George Michailidis , Yasin Senbabaoglu
Parameter Estimation for Dynamical Systems - PEDS II, Bart Bakker, Shota Gugushvili, Chris Klaassen, Aad van der Vaart, Jun 2012, Eindhoven, Netherlands
Conference papers hal-01084145v1
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CMA-ES: A Function Value Free Second Order Optimization Method

Nikolaus Hansen
PGMO COPI 2014 - Gaspard Monge Program for Optimization and operations research Conference on Optimization and Practices in Industry, Oct 2014, Saclay, France
Conference papers hal-01110313v1

The Higgs machine learning challenge

D. Rousseau , C. Adam-Bourdarios , G. Cowan , C. Germain , I. Guyon , et al.
Higgs Machine Learning Challenge visits CERN, May 2015, Geneve, Switzerland
Conference papers in2p3-01154176v1
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Collective Mind: cleaning up the research and experimentation mess in computer engineering using crowdsourcing, big data and machine learning

Grigori Fursin
[Technical Report] Inria Saclay Ile de France; LRI, Université Paris-Sud. 2013
Reports hal-00850880v1
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GMRF Estimation under Topological and Spectral Constraints

Victorin Martin , Cyril Furtlehner , Yufei Han , Jean-Marc Lasgouttes
7th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2014, Nancy, France. pp.370-385, ⟨10.1007/978-3-662-44851-9_24⟩
Conference papers hal-01065607v1
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Collaborative hyperparameter tuning

R. Bardenet , M. Brendel , Balázs Kégl , Michèle Sebag
30th International Conference on Machine Learning (ICML 2013), Jun 2013, Atlanta, United States. pp.199-207
Conference papers in2p3-00907381v1
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Collective mind: Towards practical and collaborative auto-tuning

Grigori Fursin , Renato Miceli , Anton Lokhmotov , Michael Gerndt , Marc Baboulin , et al.
Scientific Programming, 2014, Automatic Application Tuning for HPC Architectures, 22 (4), pp.309-329. ⟨10.3233/SPR-140396⟩
Journal articles hal-01054763v1
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HiPEAC Internship report: Machine Learning for Compilation and Architecture

Grigori Fursin , Abdul Wahid Memon , Christophe Guillon
Preprints, Working Papers, ... hal-00907143v1
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Detection of Cheating by Decimation Algorithm

Yamanaka Shogo , Masayuki Ohzeki , Aurélien Decelle
Journal of the Physical Society of Japan, 2015, 84, pp.024801. ⟨10.7566/JPSJ.84.024801⟩
Journal articles hal-01105415v1
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Fast Inference of Individual Admixture Coefficients Using Geographic Data

Kevin Caye , Flora Jay , Olivier J.J. Michel , Olivier François
Annals of Applied Statistics, 2018, 12 (1), pp.586-608. ⟨10.1214/17-AOAS1106⟩
Journal articles hal-01676712v1
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LEAP nets for power grid perturbations

Benjamin Donnot , Balthazar Donon , Isabelle Guyon , Zhengying Liu , Antoine Marot , et al.
ESANN 2019 - 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2019, Bruges, Belgium
Conference papers hal-02268886v1
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Fast Power system security analysis with Guided Dropout

Benjamin Donnot , Isabelle Guyon , Marc Schoenauer , Antoine Marot , Patrick Panciatici
26th European Symposium on Artificial Neural Networks, Apr 2018, Bruges, Belgium
Conference papers hal-01695793v1
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Analysis of the AutoML Challenge series 2015-2018

Isabelle Guyon , Lisheng Sun-Hosoya , Marc Boullé , Hugo Jair Escalante , Sergio Escalera , et al.
Frank Hutter; Lars Kotthoff; Joaquin Vanschoren. AutoML: Methods, Systems, Challenges, Springer Verlag, In press, The Springer Series on Challenges in Machine Learning
Book sections hal-01906197v1
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An Ising Model for Road Traffic Inference

Cyril Furtlehner
Xavier Leoncini and Marc Leonetti. From Hamiltonian Chaos to Complex Systems: a Nonlinear Physics Approach, Springer, 2012
Book sections hal-00743351v1

Advances in Artificial Intelligence

Balázs Kégl , G. Lapalme (eds.)
3501, Springer, 2005, Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, ⟨10.1007/b136277⟩
Proceedings in2p3-00935523v1

The Boltzmann Machine: when the Ising model meet Machine Learning

Aurélien Decelle
Ithaca: Viaggio nella Scienza, 2020
Journal articles hal-03143397v1

The mighty force: statistical inference and high-dimensional statistics

Erik Aurell , Jean Barbier , Aurélien Decelle , Roberto Mulet
Spin Glass Theory & Far Beyond - Replica Symmetry Breaking after 40 Years, World Scientific, In press, ⟨10.48550/arXiv.2205.00750⟩
Book sections hal-03795572v1
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Generative Neural networks to infer Causal Mechanisms: Algorithms and applications

Diviyan Kalainathan
Machine Learning [stat.ML]. Université Paris Sud (Paris 11) - Université Paris Saclay, 2019. English. ⟨NNT : ⟩
Theses tel-02435986v1
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Unifying the framework of Multi-Layer Network and Visual Analytics

Søren Knudsen , Jan Aerts , Daniel Archambault , Remco Chang , Jean-Daniel Fekete , et al.
Visual Analytics of Multilayer Networks Across Disciplines, 9 (2), pp.19-23, 2019, Dagstuhl Reports
Book sections hal-02185272v1
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Interpreting a Penalty as the Influence of a Bayesian Prior

Pierre Wolinski , Guillaume Charpiat , Yann Ollivier
Preprints, Working Papers, ... hal-02466702v1