CUTURI Marco CUTURI Marco

Researcher Number	80597344
Other IDs
Affiliation (based on the past Project Information) *help	2011 – 2016: 京都大学, 情報学研究科, 准教授
Review Section/Research Field	Principal Investigator Statistical science / Intelligent informatics / Intelligent informatics Except Principal Investigator Intelligent informatics
Keywords	Principal Investigator 機械学習 / optimization / graphics / medical imaging / optimal transport / 統計的機械学習 / 統計学 / グラフィックス / 最適化 / 最適輸送理論 … More / empirical Bayes / probability simplex / kernel methods / metric learning / Stochastic Optimization / Contrastive Divergence / Probability Simplex / Aitchison geometry / Kernel learning / Metric learning / ヒストグラムデータ / 距離学習 / 国際研究者交流 / 時列カーネル / Kernel Methods / Machine Learning … More Except Principal Investigator 離散構造データ解析 / アルゴリズム / データマイニング / 木構造データ / グラフ / 離散構造 / 木 / 動的計画法 / カーネル法 / 構造化データ / 機械学習 Less

Fast Optimal Transport and Applications to Inference and Simulation in Large Scale Statistical Machine LearningPrincipal Investigator
- Principal Investigator
  
  CUTURI Marco
- Project Period (FY)
  2014 – 2016
- Research Category
  
  Grant-in-Aid for Young Scientists (A)
- Research Field
  
  Statistical science
- Research Institution
  Kyoto University
Empirical Bayes Kernels: Unsupervised Kernel LearningPrincipal Investigator
- Principal Investigator
  
  CUTURI Marco
- Project Period (FY)
  2013 – 2014
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Intelligent informatics
- Research Institution
  Kyoto University
A study on positive-definite and efficient kernels for structured data
- Principal Investigator
  
  SHIN Yoshihiro
- Project Period (FY)
  2011 – 2013
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  University of Hyogo
New approaches for the analysis ofcomplex time-series using kernel methods.Principal Investigator
- Principal Investigator
  
  CUTURI Marco
- Project Period (FY)
  2011 – 2012
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Kyoto University

All 2016 2015 2014 2013 2012 2011 Other

All Journal Article Presentation Patent

[Journal Article] Gromov-Wasserstein Averaging of Kernel and Distance Matrices2016
- Author(s)
  G. Peyre, M. Cuturi, J. Solomon
- Journal Title
  
  JMLR W&CP ICML'16
  
  Volume: 48 Pages: 2664-2672
- Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26700002
[Journal Article] Stochastic Optimization for Large-scale Optimal Transport2016
- Author(s)
  A. Genevay, M. Cuturi, G. Peyre, F. Bach
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 29
- Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26700002
[Journal Article] Wasserstein Training of Restricted Boltzmann Machines2016
- Author(s)
  G. Montavon, K.-R. Muller, M. Cuturi
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 29
- Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26700002
[Journal Article] A Smoothed Dual Approach for Variational Wasserstein Problems2016
- Author(s)
  Marco Cuturi, Gabriel Peyre
- Journal Title
  
  SIAM Journal on Imaging Sciences
  
  Volume: 9 (1) Issue: 1 Pages: 320-343
- DOI
  10.1137/15m1032600
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-24106010, KAKENHI-PROJECT-26700002
[Journal Article] Wasserstein Barycentric Coordinates: Histogram Regression Using Optimal Transport2016
- Author(s)
  Nicolas Bonneel, G. Peyre, M. Cuturi
- Journal Title
  
  ACM Transactions on Graphics (Proceedings of SIGGRAPH 2016)
  
  Volume: 35 (4) Issue: 4 Pages: 1-10
- DOI
  10.1145/2897824.2925918
- Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26700002
[Journal Article] Iterative Bregman Projections for Regularized Transportation Problems2015
- Author(s)
  J.D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyre,
- Journal Title
  
  SIAM Journal on Scientific Computing
  
  Volume: 未定
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26700002
[Journal Article] Fast Optimal Transport Averaging of Neuroimaging Data2015
- Author(s)
  A. Gramfort, G. Peyre, M. Cuturi
- Journal Title
  
  Springer LNCS, Information Processing in Medical Imaging
  
  Volume: 未定
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26700002
[Journal Article] Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric2015
- Author(s)
  Vivien Seguy, Marco Cuturi
- Journal Title
  
  Advances in Neural Information Processing Systems 28 (NIPS 2015)
  
  Volume: 1 Pages: 3294-3302
- Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26700002
[Journal Article] Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains2015
- Author(s)
  J. Solomon, F. de Goes, G. Peyre, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas.
- Journal Title
  
  ACM Transactions on Graphics / SIGGRAPH
  
  Volume: 未定
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26700002
[Journal Article] Adaptive Euclidean maps for histograms: generalized Aitchison embeddings2015
- Author(s)
  Tam Le, Marco Cuturi
- Journal Title
  
  Machine Learning
  
  Volume: 99(2) Issue: 2 Pages: 169-187
- DOI
  10.1007/s10994-014-5446-z
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-24106010, KAKENHI-PROJECT-25540100
[Journal Article] Iterative Bregman Projections for Regularized Transportation Problems2015
- Author(s)
  Jean-David Benamou, Guillaume Carlier, Marco Cuturi, Luca Nenna, Gabriel Peyre
- Journal Title
  
  SIAM Journal on Scientific Computing
  
  Volume: 37 (2) Issue: 2 Pages: 1111-1138
- DOI
  10.1137/141000439
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-24106010, KAKENHI-PROJECT-26700002
[Journal Article] Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations2015
- Author(s)
  Tam Le, Marco Cuturi
- Journal Title
  
  Journal of Machine Learning Research, Workshop and Conference Proceedings, ICML 2015
  
  Volume: 未定
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-25540100
[Journal Article] Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains2015
- Author(s)
  Justin Solomon, Fernando de Goes, Gabriel Peyre, Marco Cuturi, Adrian Butscher, Andy Nguyen, Tao Du, Leonidas J. Guibas
- Journal Title
  
  Proc. 42nd International Conference and Exhibition on Computer Graphics and Interactive Techniques (SIGGRAPH2015), ACM Transactions on Graphics
  
  Volume: 34 (4) Issue: 4 Pages: 1-11
- DOI
  10.1145/2766963
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-24106010, KAKENHI-PROJECT-26700002
[Journal Article] Mean Reversion with a Variance Threshold2013
- Author(s)
  M. Cuturi, A. d'Aspremont
- Journal Title
  
  JMLR W&CP
  
  Volume: 28(3) Pages: 271-279
- Data Source
  KAKENHI-PROJECT-23700172
[Journal Article] Autoregressive Kernels for Time Series2013
- Author(s)
  Marco Cuturi, Arnaud Doucet
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: pending
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23700172
[Journal Article] Mean Reversion with a Variance Threshold2013
- Author(s)
  Marco Cuturi, Alexandre d'Aspremont
- Journal Title
  
  International Conference on Machine Learning 2013
  
  Volume: 2013 Proceedings/Journal
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23700172
[Journal Article] Sinkhorn distances: Lightspeed computation of optimal transport2013
- Author(s)
  Marco Cuturi
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 26 Pages: 2292-2300
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25540100
[Journal Article] Generalized Aitchison Embeddings for Histograms2013
- Author(s)
  Tam Le, Marco Cuturi
- Journal Title
  
  JMLR: Workshop and Conference Proceedings 29:293{308, 2013
  
  Volume: 29 Pages: 293-308
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25540100
[Journal Article] Autoregressive Kernels for Time Series
- Author(s)
  M. Cuturi, A.Doucet
- Journal Title
  
  Journal of Machine Learning Research
- Data Source
  KAKENHI-PROJECT-23700172
[Patent] Method to Compute the Barycenter of a Set of Histograms2015
- Inventor(s)
  Marco Cuturi
- Industrial Property Rights Holder
  Marco Cuturi
- Industrial Property Rights Type
  特許
- Filing Date
  2015-04-14
- Overseas
- Data Source
  KAKENHI-PROJECT-26700002
[Patent] Method to Compute the Barycenter of A Set of Histograms2014
- Inventor(s)
  M. Cuturi
- Industrial Property Rights Holder
  M. Cuturi
- Industrial Property Rights Type
  特許
- Filing Date
  2014-04-16
- Data Source
  KAKENHI-PROJECT-26700002
[Presentation] New Approaches to Learn with Probability Measures using Fast Optimal Transport2015
- Author(s)
  M. Cuturi
- Organizer
  IBIS 2015 Workshop
- Place of Presentation
  茨城県つくば市つくば国際会議場
- Year and Date
  2015-11-25
- Invited
- Data Source
  KAKENHI-PROJECT-26700002
[Presentation] New Approaches to Learn with Probability Measures using Fast Optimal Transport2015
- Author(s)
  M. Cuturi
- Organizer
  Workshop on Learning, IMS NUS, Singapore
- Place of Presentation
  Institute for Mathematical Sciences, National University of Singapore, Singapore
- Year and Date
  2015-11-18
- Invited
- Data Source
  KAKENHI-PROJECT-26700002
[Presentation] New Approaches to Learn with Probability Measures using Fast Optimal Transport2015
- Author(s)
  M. Cuturi
- Organizer
  Workshop on Optimization in machine learning, vision and image processing
- Place of Presentation
  Universite Paul Sabatier, Toulouse, France
- Year and Date
  2015-10-07
- Invited
- Data Source
  KAKENHI-PROJECT-26700002
[Presentation] Fast Optimal Transport on GPGPUs2015
- Author(s)
  M. Cuturi
- Organizer
  GTC Japan 2015 テクニカルセッション
- Place of Presentation
  東京都港区虎ノ門ヒルズフォーラム
- Year and Date
  2015-09-18
- Invited
- Data Source
  KAKENHI-PROJECT-26700002
[Presentation] Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances2013
- Author(s)
  Marco Cuturi
- Organizer
  Workshop Computational Optimal Transport
- Place of Presentation
  Institut Henri Poincare
- Invited
- Data Source
  KAKENHI-PROJECT-25540100
[Presentation] Kernel Methods for Time Series2012
- Author(s)
  Marco Cuturi
- Organizer
  29th International Conference on Machine Learning (ICML), Kernel Methods Workshop(招待講演)
- Place of Presentation
  Edinburgh, UK
- Data Source
  KAKENHI-PROJECT-23700172
[Presentation] Fast Global Alignment Kernels2011
- Author(s)
  Marco Cuturi
- Organizer
  28th International Conference on Machine Learning (ICML)
- Place of Presentation
  Bellevue, Washington, USA
- Data Source
  KAKENHI-PROJECT-23700172
[Presentation] Mapping kernels for trees2011
- Author(s)
  K. Shin, M. Cuturi and T. Kuboyama
- Organizer
  The 28nd International Conference on Machine Learning (ICML 2011), ACM
- Place of Presentation
  Belleview, Washington, USA
- Data Source
  KAKENHI-PROJECT-23300061
[Presentation] Mapping kernels for trees2011
- Author(s)
  M.Cuturi
- Organizer
  International Conference on Machine Learning (ICML 2011)
- Place of Presentation
  Bellview, USA
- Data Source
  KAKENHI-PROJECT-23300061
[Presentation] Distances and Kernels on Discrete Structures
- Author(s)
  Marco Cuturi
- Organizer
  International Conference on Machine Learning Workshop on RKHS and Kernel Based Methods
- Place of Presentation
  University of Edinburgh (UK)
- Invited
- Data Source
  KAKENHI-PROJECT-23700172
[Presentation] Transportation Distances and their Application in Machine Learning: New Problems
- Author(s)
  Marco Cuturi
- Organizer
  Cambridge Machine Learning Seminar
- Place of Presentation
  Massachusetts Institute of Technology (USA)
- Invited
- Data Source
  KAKENHI-PROJECT-23700172
[Presentation] Distances and Kernels on Discrete Structures
- Author(s)
  Marco Cuturi
- Organizer
  Sapporo Workshop on Machine Learning and Applications to Biology
- Place of Presentation
  Hokkaido University
- Data Source
  KAKENHI-PROJECT-23700172
[Presentation] Transportation Distances and their Application in Machine Learning: New Problems
- Author(s)
  Marco Cuturi
- Organizer
  University of California Los Angeles Electrical Engineering Seminar
- Place of Presentation
  University of California Los Angeles (USA)
- Data Source
  KAKENHI-PROJECT-23700172
[Presentation] The Wasserstein Barycenter Problem
- Author(s)
  M. Cuturi
- Organizer
  Foundations of Computational Mathematics (FoCM 2014)
- Place of Presentation
  Montevideo, Uruguay
- Year and Date
  2014-12-18 – 2014-12-20
- Invited
- Data Source
  KAKENHI-PROJECT-26700002
[Presentation] Distances and Kernels on Discrete Structures: the generating-function trick
- Author(s)
  Marco Cuturi
- Organizer
  Institut National de la Recherche en Informatique et Automatique, LEAR Seminar
- Place of Presentation
  Institut National de la Recherche en Informatique et Automatique Grenoble (France)
- Invited
- Data Source
  KAKENHI-PROJECT-23700172
[Presentation] Fast Global Alignment Kernels
- Author(s)
  M. Cuturi
- Organizer
  Proceedings of the International Conference on Machine Learning 2011
- Data Source
  KAKENHI-PROJECT-23700172
[Presentation] Transportation and Machine Learning
- Author(s)
  Marco Cuturi
- Organizer
  Statistical Machine Learning in Paris Seminar
- Place of Presentation
  Ecole Nationale Superieure des Mines de Paris (France)
- Invited
- Data Source
  KAKENHI-PROJECT-23700172
[Presentation] Optimal Transport with Entropy Regularization: Pros and Cons
- Author(s)
  M. Cuturi
- Organizer
  Advances in Numerical Optimal Transportation, Banff
- Place of Presentation
  Banff, Canada
- Year and Date
  2015-02-15 – 2015-02-20
- Invited
- Data Source
  KAKENHI-PROJECT-26700002
[Presentation] An overview of Wasserstein barycenter algorithms
- Author(s)
  M. Cuturi
- Organizer
  New Trends in Optimal Transport
- Place of Presentation
  Bonn, Germany
- Year and Date
  2015-03-02 – 2015-03-06
- Invited
- Data Source
  KAKENHI-PROJECT-26700002
[Presentation] The Wasserstein Barycenter Problem
- Author(s)
  M. Cuturi
- Organizer
  Optimization and Statistical Learning
- Place of Presentation
  Les Houches, France
- Year and Date
  2015-01-12 – 2015-02-16
- Invited
- Data Source
  KAKENHI-PROJECT-26700002

1. SHIN Yoshihiro (60523587)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
2. OKAMOTO Hiroshi (00374067)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. ARIMURA Hiroki (20222763)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. SAKAMOTO Hiroshi (50315123)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. KUBOYAMA Tetsuji (80302660)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results

CUTURI Marco CUTURI Marco

Research Projects

Research Products

Co-Researchers

Fast Optimal Transport and Applications to Inference and Simulation in Large Scale Statistical Machine LearningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Empirical Bayes Kernels: Unsupervised Kernel LearningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

A study on positive-definite and efficient kernels for structured data

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

New approaches for the analysis ofcomplex time-series using kernel methods.Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Gromov-Wasserstein Averaging of Kernel and Distance Matrices2016

Author(s)

Journal Title

Data Source

[Journal Article] Stochastic Optimization for Large-scale Optimal Transport2016

Author(s)

Journal Title

Data Source

[Journal Article] Wasserstein Training of Restricted Boltzmann Machines2016

Author(s)

Journal Title

Data Source

[Journal Article] A Smoothed Dual Approach for Variational Wasserstein Problems2016

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Wasserstein Barycentric Coordinates: Histogram Regression Using Optimal Transport2016

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Iterative Bregman Projections for Regularized Transportation Problems2015

Author(s)

Journal Title

Data Source

[Journal Article] Fast Optimal Transport Averaging of Neuroimaging Data2015

Author(s)

Journal Title

Data Source

[Journal Article] Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric2015

Author(s)

Journal Title

Data Source

[Journal Article] Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains2015

Author(s)

Journal Title

Data Source

[Journal Article] Adaptive Euclidean maps for histograms: generalized Aitchison embeddings2015

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Iterative Bregman Projections for Regularized Transportation Problems2015

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations2015

Author(s)

Journal Title

Data Source