Marco Cuturi

04-Nov-24 IDSS Seminar, MIT

29-Oct-24 Optimization Seminar, U. Penn

28-Oct-24 PACM Colloquium, Princeton

21-Oct-24 SIAM MDS, Atlanta

27-Jun-24 SNL2024, Tokyo

18-Mar-24 DL Workshop, Tokyo

13-Mar-24 SLIDES and [IPYNB][COLAB] for MLSS Okinawa, OIST

09-Jan-24 Numerical methods for optimal transport problems ..., Slides, Valparaiso

18-Dec-23 IMS ICSDS, Lisbon

27-Sep-23 NCCR Automation Symposium, Brugg

18-Sep-23 Stat Maths Applis, slides, Fréjus

22-Aug-23 ICIAM OT Workshop, Tokyo

08-Aug-23 DOML Workshop, GRIPS, Tokyo

23-Jul-23 ICML Tutorial on OT, Hawai'i

26-Jun-23 MLSS, Krakow

23-Jun-23 FoCM, OT Workshop, Paris

05-Jun-23 Emerging Applications of OT, ETH

26-May-23 London Symposium on Info. Theory, UCL

25-May-23 UCL AI Seminar, UCL

06-Mar-23 Khipu school, Montevideo

16-Jan-23 OSL Workshop, Les Houches

07-Dec-22 Séminaire Palaisien

24-Oct-22 OT and Applications, SNS Pisa

19-Oct-22 ScaDS-AI seminar, Leipzig

28-Sep-22 SIAM MDS, Tutorial, San Diego

6-Sep-22 EURANDOM, Workshop on OT/Stats/ML, Eindhoven

16-May-22 Applied OT, IMSI

30-May-22 PDE Methods in Data Science and Machine Learning, Fields

28-Jun-22 IMS Meeting, OT Workshop, London

12-Aug-22 Machine learning and PDEs: theory, algorithms, and its applications, Postech, Seoul

02-Mar-22 MIA, Broad Institute

17-Jan-22 Zinal Winter School

01-Sep-21 Simmons Geometric Methods Bootcamp, Berkeley

04-Aug-21 MLSS Taipei

15-Jun-21 Conf. Apprentissage Automatique, St Etienne

29-Mar-21 Biostats Department Seminar, JHU

18-Mar-21 Bocconi Stats Seminar, Milano

24-Feb-21 Linköping University ML Seminar

16-Sep-20 talk at Riken

10-Sep-20 GAMM Workshop, Leipzig

04-Jul-20 SGP’20 Graduate School, Utrecht

02-Jul-20 MLSS Tübingen

13-Dec-19 Optimal Transport and Machine Learning Workshop 2019 @ Neurips 2019, Vancouver

19-Nov-19 spoke @ CORE Seminar, U. Washington, Seattle

16-Nov-19 spoke @ Optimization-Conscious Econometrics Conference, U. Chicago

15-Nov-19 spoke @ Optimization Seminar, Fields Institute, Toronto

14-Nov-19 spoke @ Math and Data NYU Seminar, NYU

06-Nov-19 spoke @ Statistics with Geometry and Topology, Toulouse

28-Oct-19 spoke @ Computational Harmonic Analysis and Data Science, Oaxaca

18-Oct-19 spoke @ FAST Global Innovation Forum, Yerevan

02-Oct-19 spoke @ ML in the real world, Criteo, Paris

05-Sep-19 slides for DALI Theory, Alg. and Comp. of Modern Learning Sys., San Sebastian

05-Sep-19 slides for DALI Geometric Deep Learning, San Sebastian

29-Aug-19 Spoke @ Structural Inference in High-Dimensional Models, HSE, St Petersburg

26-Aug-19 slides for MLSS in Skoltech, Moscow

31-Jul-19 Spoke @ Discrete Optimization and Machine Learning, Tokyo

23-Jun-19 Spoke @ People in Optimal Transportation and Applications, Cortona

13-Jun-19 Spoke @ Geometric and Topological Approaches to Data Analysis, Cambridge, UK

17-May-19 Spoke @ IST Young Scientist Symposium, Vienna

13-May-19 Spoke @ Optimal transport: from Geometry to Numerics, Vienna

09-May-19 slides given at the Introductory School on OT, Vienna

01-Apr-19 Imaging & ML, Paris

25-Mar-19 Les Houches Optimization and Statistical Learning

09-Jan-19 Slides for my MLSS South Africa presentation.

26-Nov-18 Slides at Bayesian statistics in the big data era

12-Nov-18 Slides presented at Optimal Transportation and Applications, Pisa

01-Oct-18 Joined Google brain in Paris.

17-Sep-18 spoke at Workshop ML and AI, Telecom ParisTech

13-Sep-18 Spoke at ICMS Workshop, Gradient flows: challenges and new directions, Edinburgh

05-Sep-18 Slides for my presentation at Structural Inference in High Dimensional Models, Moscow

28-Jun-18 Gave tutorial at Data Science Summer School at Palaiseau

18-Jun-18 My Slides at MLSS Buenos Aires

15-Jun-18 Spoke at Seminario de Probabilidad y Estadistica, Universidad de la Republica, Montevideo

11-Jun-18 Spoke at The Interplay between Statistics and Optimization in Learning, Alan Turing Institute, London

04-Jun-18 Spoke at Mass Transportation Theory: Opening perspectives in Statistics, Probability and Computer Science, IMUVa, Valladolid

28-May-18 Slides at 50ème Journées SFdS, Saclay

25-May-18 Spoke at CSML Seminar, UCL, London

17-May-18 Spoke at Orsay Maths Dept seminar

14-May-18 Spoke at Séminaire AgroParisTech, Paris

26-Apr-18 TWiMLAI Interview about our NIPS Tutorial

12-Avr-18 Slides for my seminar at ENS Lyon

27-Mar-18 Spoke at Data Science Spring School, Kyoto

19-Jan-18 Spoke at Statistics/Learning at Paris Saclay, IHES

15-Jan-18 Spoke at Mathematics in Image Analysis 2018, Berlin

09-Dec-17 Optimal Transport and Machine Learning, NIPS 2017 workshop, Long Beach

08-Dec-17 Thanks to Mathieu Blondel for presenting our work on sDTW at the Time Series Workshop, NIPS 2017 workshop, Long Beach

04-Dec-17 Gabriel Peyré and I have released a first draft of our review book on computational OT, comments welcome!

04-Dec-17 Slides in .key, .pdf and .m4v formats of our NIPS tutorial ‘‘A primer on optimal transport’’, (with J. Solomon), Long Beach

30 & 31-Nov-17 Slides in avi or pdf format for my two lectures at PIMS, UBC, Vancouver

06-Nov-17 Mikhail Yurochkin and Nhat Ho have kindly shared python code on Wasserstein barycenters, implementing in particular our ICML’14 paper. See also Marcel Klatt's implementation in R.

28-Oct-17 Slides at ICCV Workshop, Geometry meets deep learning, Venezia

05-Oct-17 Gave a talk at France is AI conference, Paris

21-Sep-17 Thanks to all participants of the France Japan Machine Learning Workshop!

09-Aug-17 Slides for my presentation at ICML, Sydney (Code available).

01-Aug-17 Slides for my presentation at Optimal Transport and Related Topics, KIAS, Seoul

03-Jul-17 Slides for my mini-course at Lectures on OT and ML, KIAS, Seoul

8-Jun-17 Code for sDTW!, thanks to Mathieu Blondel.

22-May-17 Slides at SIOPT Workshop, kindly presented by Francis Bach.

10-May-17 Spoke at Mathematical Statistics Seminar of Weierstrass Institute, Berlin

30-Apr-17 Thanks to participants of Optimal Transport meets Probability, Statistics and Machine Learning, BIRS/CMO

23-Mar-17 Spoke at Statistical Recovery of Discrete, Geometric and Invariant Structures, Oberwolfach

18-Apr-17 Slides for my talk at RIKEN AIP, Tokyo

10-Jan-17 Slides for my talk at Functoriality in Geometric Data workshop, Dagstuhl

17-Dec-16 Spoke at Workshop on statistics, Hiroshima University

9-Dec-16 NIPS Time Series Workshop 2016 was held in Barcelona

13-Nov-16 Spoke at Mathematical Progress in Expressive Image Synthesis, Fukuoka

9-Nov-16 Spoke at PGMO Days, Orsay

26-Sep-16 Spoke at IPAM Workshop, ML meets many particle problems, UCLA

19-Sep-16 Spoke at ECML/PKDD Workshop, Adv. Analytics and Learning on Temporal Data

18-Jul-16 spoke at Computational Optimal Transport, U. Montréal

03-Jun-16 spoke at Korea/Japan ML Symposium, Seoul

07-Apr-16 spoke at Statlearn 2016, Vannes

16-Mar-16 spoke at EECS - BLISS Seminar, UC Berkeley

19-Feb-16 Slides for my Microsoft Research Cambridge talk

04-Dec-15 Slides for ML Tea seminar, MIT

01-Dec-15 Slides for CILVR Seminar, NYU

25-Nov-15 Slides for my IBIS 2015 Workshop presentation.

18-Nov-15 Spoke @ Workshop on Learning, IMS NUS, Singapore

05-Nov-15 Spoke @ Recent Advances in Machine Learning and Applications, Nagoya

28-Oct-15 Spoke @ Germany-Japan Adaptive BCI Workshop, Kyoto

07-Oct-15 Slides for my Workshop on Optimization in machine learning, vision and image processing presentation

18-Sep-15 Slides for my GTC presentation

23-Aug-15 Thanks to the 430 participants of the MLSS’15 in Kyoto! (Pictures)

06-Mar-15 spoke at New Trends in Optimal Transport, Bonn

15-Feb-15 spoke at Advances in Numerical Optimal Transportation workshop, Banff

11-Jan-15 spoke at Optimization and Statistical Learning workshop, Les Houches

18-Dec-14 spoke at Learning Theory Workshop, FoCM, Montevideo

01-Sep-14 co-organizing the NIPS’14 Workshop on Optimal Transport and Machine Learning.

25-Mar-14 Slides and Poster of our ICML’14 paper on Wasserstein barycenters.

25-Mar-14 Consider submitting a tutorial proposal to ACML’14. I will be AC @ NIPS’14.

24-Mar-14 Updated code to compute fast approximations to EMD. Previous version had a bug.

11-Feb-14 For your calendars: Trends in Machine Learning workshop in Kyoto U. on March 17-18!

16-Dec-13 A new version of our preprint Ground Metric Learning is online.

25-Nov-13 My code to compute dual-Sinkhorn divergences is online. Please report any bug.

12-Nov-13 The final version of my paper on Sinkhorn distances is online.

26-Sep-13 Preliminary material to compute Sinkhorn distances, work to be presented at NIPS’13

11-Jul-13 Very excited to give a talk @ workshop on computational OT on Sep. 2 @ IHP, Paris.

27-Jun-13 Slides of our talk at ICML’13 and poster

15-Jan-13 Slides of my lecture at the Machine Learning Tutorial organized by KAIST

15-Sep-12 Many thanks to all the participants of the MLSS’12 Kyoto, what a fantastic two weeks!

24-Jul-12 My slides at the RKHS / Kernel based methods workshop of ICML’12.

9-Apr-12 The Informatics Seminar is starting again this spring semester.

25-Jan-12 Slides for my Nagoya Institute of Technology talk.

11-Jan-12 The application website for the MLSS opens on January 16th! Please check the updated speakers’ list.

12-Oct-11 New preprint: Ground Metric Learning

12-Oct-11 The 21st Machine Learning Summer School will be held next summer in Kyoto University, between August 27th and September 7th 2012. This edition of the MLSS series will take place for the first time in Japan. Our website is still under construction, applications will open later this year.

14-Sep-11 New matlab and python code for alignment kernels

17-Jun-11 My slides for the CCE Dept. Colloquium on June 17th.

15-Jun-11 Arnaud Doucet Slides, June 15th.

22-May-11 The PEMS-SF dataset is available in the UCI Machine Learning Repository. Here is a local copy in .mat format