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Pages

About me

PhD Candidate in Mechnaical and Industrial Engineering

Posts

Future Blog Post

less than 1 minute read

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Blog Post number 4

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

experience

portfolio

publications

Publications

Published in , 1900

Under Review

  • J. Dumouchelle, E. Julien, J. Kurtz, and E. B. Khalil. Deep Learning for Two-Stage Robust Integer Optimization. Submitted to Operations Research, 2024. Preprint will be made available soon.

Conference Papers

  • J. Dumouchelle, E. Julien, J. Kurtz, and E. B. Khalil. Neur2BiLO: Neural Bilevel Optimization. Advances in Neural Information Processing Systems, 2024.
    [Paper] [Code]

  • J. Dumouchelle, E. Julien, J. Kurtz, and E. B. Khalil. Neur2RO: Neural Two-Stage Robust Optimization. International Conference on Learning Representations, 2024.
    [Paper] [Website] [Code]
  • J. Dumouchelle*, R. Patel*, E. B. Khalil, and M. Bodur. Neur2SP: Neural Two-Stage Stochastic Programming. Advances in Neural Information Processing Systems, 2022.
    [Paper] [Website] [Code]

Journal Papers

  • J. Dumouchelle, E. Frejinger, and A. Lodi. Reinforcement Learning for Freight Booking Control Problems. Journal of Revenue and Pricing Management, 2024.
    [Paper] [Code]
  • M. Gasse, S. Bowly, Q. Cappart, J. Charfreitag, L. Charlin, D. Chételat, A. Chmiela, J. Dumouchelle, …, and M. Kun. The machine learning for combinatorial optimization competition (ML4CO): Results and insights. Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, in Proceedings of Machine Learning Research (PMLR), 2022.
    [Paper] [Website]

Workshop Papers

  • A. Prouvost, J. Dumouchelle, L. Scavuzzo, M. Gasse, D. Chételat, and A. Lodi. Ecole: A gym-like library for machine learning in combinatorial optimization solvers. Learning Meets Combinatorial Algorithms at NeurIPS2020, 2020.
    [Paper] [Website] [Code]

* denotes equal contribution.

talks

Talks

Upcoming

  • CERC DS4DM Coffee Talks: Oral presentation, Janurary 2023
  • Robust Optimization Webinar: Oral presentation, December 2023

Past

  • INFORMS Annual Meeting: Poster presentation (1st place, People’s Choice Award), October 2023
  • INFORMS Annual Meeting: Oral presentation, October 2023
  • International Conference on Stochastic Programming: Oral presentation, July 2023
  • Mixed Integer Programming Workshop: Poster presentation, May 2023
  • Machine Learning Applications for Supply Chain Management at MIT: Guest lecture, April 2023
  • Vector Institute Research Symposium: Poster presentation, May 2023

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.