Clément Bonet
@clement-bonet.bsky.social
Assistant Professor at École Polytechnique interested in Optimal Transport.
More information at: https://clbonet.github.io/
More information at: https://clbonet.github.io/
Reposted by Clément Bonet
#Distinction 🏆| Charlotte Pelletier, lauréate d'une chaire #IUF, développe des méthodes d’intelligence artificielle appliquées aux séries temporelles d’images satellitaires.
➡️ www.ins2i.cnrs.fr/fr/cnrsinfo/...
🤝 @irisa-lab.bsky.social @cnrs-bretagneloire.bsky.social
➡️ www.ins2i.cnrs.fr/fr/cnrsinfo/...
🤝 @irisa-lab.bsky.social @cnrs-bretagneloire.bsky.social
October 8, 2025 at 9:30 AM
#Distinction 🏆| Charlotte Pelletier, lauréate d'une chaire #IUF, développe des méthodes d’intelligence artificielle appliquées aux séries temporelles d’images satellitaires.
➡️ www.ins2i.cnrs.fr/fr/cnrsinfo/...
🤝 @irisa-lab.bsky.social @cnrs-bretagneloire.bsky.social
➡️ www.ins2i.cnrs.fr/fr/cnrsinfo/...
🤝 @irisa-lab.bsky.social @cnrs-bretagneloire.bsky.social
Reposted by Clément Bonet
I'm thrilled to announce that my #ERCStG project **Optinfinite : Efficient infinite-dimensional optimization over measures**
has been accepted. Thank you
@erc.europa.eu !
Many thanks also to @crestumr.bsky.social @ipparis.bsky.social for they support, as well as to my collaborators and friends.
has been accepted. Thank you
@erc.europa.eu !
Many thanks also to @crestumr.bsky.social @ipparis.bsky.social for they support, as well as to my collaborators and friends.
September 8, 2025 at 6:39 AM
I'm thrilled to announce that my #ERCStG project **Optinfinite : Efficient infinite-dimensional optimization over measures**
has been accepted. Thank you
@erc.europa.eu !
Many thanks also to @crestumr.bsky.social @ipparis.bsky.social for they support, as well as to my collaborators and friends.
has been accepted. Thank you
@erc.europa.eu !
Many thanks also to @crestumr.bsky.social @ipparis.bsky.social for they support, as well as to my collaborators and friends.
🎉 Happy to share that our work "Flowing Datasets with Wasserstein over Wasserstein Gradient Flows" was accepted at #ICML2025 as an oral!
This is a joint work with the amazing Christophe Vauthier and @akorba.bsky.social !
Link: openreview.net/forum?id=I1O...
This is a joint work with the amazing Christophe Vauthier and @akorba.bsky.social !
Link: openreview.net/forum?id=I1O...
July 11, 2025 at 3:04 AM
🎉 Happy to share that our work "Flowing Datasets with Wasserstein over Wasserstein Gradient Flows" was accepted at #ICML2025 as an oral!
This is a joint work with the amazing Christophe Vauthier and @akorba.bsky.social !
Link: openreview.net/forum?id=I1O...
This is a joint work with the amazing Christophe Vauthier and @akorba.bsky.social !
Link: openreview.net/forum?id=I1O...
Reposted by Clément Bonet
If you're at #AISTATS2025, check out the presentation by Jonathan Geuter, in collaboration with Clément Bonet, @akorba.bsky.social and @dmelis.bsky.social.
'DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows'
openreview.net/forum?id=rFf...
#AI #statistics #ML
'DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows'
openreview.net/forum?id=rFf...
#AI #statistics #ML
DDEQs: Distributional Deep Equilibrium Models through Wasserstein...
Deep Equilibrium Models (DEQs) are a class of implicit neural networks that solve for a fixed point of a neural network in their forward pass. Traditionally, DEQs take sequences as inputs, but have...
openreview.net
May 2, 2025 at 3:59 PM
If you're at #AISTATS2025, check out the presentation by Jonathan Geuter, in collaboration with Clément Bonet, @akorba.bsky.social and @dmelis.bsky.social.
'DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows'
openreview.net/forum?id=rFf...
#AI #statistics #ML
'DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows'
openreview.net/forum?id=rFf...
#AI #statistics #ML
Reposted by Clément Bonet
⚔️ One for all and all for one ⚔️
Efficient computation of PArtial Wasserstein distances on the Line (PAWL)
is accepted to @iclr-conf.bsky.social
Joint work with Laetitia Chapel: we introduce an 𝑂(𝑛 𝑙𝑜𝑔 𝑛) solver for partial Optimal Transport (OT) in 1D
openreview.net/forum?id=kzE...
🧵 1/2
Efficient computation of PArtial Wasserstein distances on the Line (PAWL)
is accepted to @iclr-conf.bsky.social
Joint work with Laetitia Chapel: we introduce an 𝑂(𝑛 𝑙𝑜𝑔 𝑛) solver for partial Optimal Transport (OT) in 1D
openreview.net/forum?id=kzE...
🧵 1/2
February 4, 2025 at 4:15 PM
⚔️ One for all and all for one ⚔️
Efficient computation of PArtial Wasserstein distances on the Line (PAWL)
is accepted to @iclr-conf.bsky.social
Joint work with Laetitia Chapel: we introduce an 𝑂(𝑛 𝑙𝑜𝑔 𝑛) solver for partial Optimal Transport (OT) in 1D
openreview.net/forum?id=kzE...
🧵 1/2
Efficient computation of PArtial Wasserstein distances on the Line (PAWL)
is accepted to @iclr-conf.bsky.social
Joint work with Laetitia Chapel: we introduce an 𝑂(𝑛 𝑙𝑜𝑔 𝑛) solver for partial Optimal Transport (OT) in 1D
openreview.net/forum?id=kzE...
🧵 1/2
Reposted by Clément Bonet
Slicing Unbalanced Optimal Transport
Clément Bonet, Kimia Nadjahi, Thibault Sejourne, Kilian FATRAS, Nicolas Courty
Action editor: Benjamin Guedj
https://openreview.net/forum?id=AjJTg5M0r8
#transport #outliers #optimal
Clément Bonet, Kimia Nadjahi, Thibault Sejourne, Kilian FATRAS, Nicolas Courty
Action editor: Benjamin Guedj
https://openreview.net/forum?id=AjJTg5M0r8
#transport #outliers #optimal
January 19, 2025 at 5:07 AM
Slicing Unbalanced Optimal Transport
Clément Bonet, Kimia Nadjahi, Thibault Sejourne, Kilian FATRAS, Nicolas Courty
Action editor: Benjamin Guedj
https://openreview.net/forum?id=AjJTg5M0r8
#transport #outliers #optimal
Clément Bonet, Kimia Nadjahi, Thibault Sejourne, Kilian FATRAS, Nicolas Courty
Action editor: Benjamin Guedj
https://openreview.net/forum?id=AjJTg5M0r8
#transport #outliers #optimal
Reposted by Clément Bonet
The slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here
drive.google.com/file/d/1eLa3...
drive.google.com/file/d/1eLa3...
BreimanLectureNeurIPS2024_Doucet.pdf
drive.google.com
December 15, 2024 at 6:40 PM
The slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here
drive.google.com/file/d/1eLa3...
drive.google.com/file/d/1eLa3...
Reposted by Clément Bonet
Today something crazy happened. POT has reached 1000 citations (total) 🤩🚀. Very proud to be part of a scientific community that acknowledges open source research software. Please continue to use, cite and contribute to POT ! Small🧵below for those interested pythonot.github.io
December 13, 2024 at 9:54 AM
Today something crazy happened. POT has reached 1000 citations (total) 🤩🚀. Very proud to be part of a scientific community that acknowledges open source research software. Please continue to use, cite and contribute to POT ! Small🧵below for those interested pythonot.github.io
Reposted by Clément Bonet
Live! Keynote talk by Arnaud Doucet
From Diffusion Models to Schrödinger Bridges
West Exhibition Hall C, B3
https://buff.ly/4ga9GD7
From Diffusion Models to Schrödinger Bridges
West Exhibition Hall C, B3
https://buff.ly/4ga9GD7
December 12, 2024 at 10:48 PM
Live! Keynote talk by Arnaud Doucet
From Diffusion Models to Schrödinger Bridges
West Exhibition Hall C, B3
https://buff.ly/4ga9GD7
From Diffusion Models to Schrödinger Bridges
West Exhibition Hall C, B3
https://buff.ly/4ga9GD7
Glad to announce that our work "Mirror and Preconditioned Gradient Descent in Wasserstein Space" was accepted at #NeurIPS2024 as a spotlight!
This is a joint work with the amazing T. Uscidda, A. David, P.C. Aubin-Frankowski and A. Korba!
Link: arxiv.org/abs/2406.08938
This is a joint work with the amazing T. Uscidda, A. David, P.C. Aubin-Frankowski and A. Korba!
Link: arxiv.org/abs/2406.08938
Mirror and Preconditioned Gradient Descent in Wasserstein Space
As the problem of minimizing functionals on the Wasserstein space encompasses many applications in machine learning, different optimization algorithms on $\mathbb{R}^d$ have received their counterpart...
arxiv.org
December 3, 2024 at 8:55 AM
Glad to announce that our work "Mirror and Preconditioned Gradient Descent in Wasserstein Space" was accepted at #NeurIPS2024 as a spotlight!
This is a joint work with the amazing T. Uscidda, A. David, P.C. Aubin-Frankowski and A. Korba!
Link: arxiv.org/abs/2406.08938
This is a joint work with the amazing T. Uscidda, A. David, P.C. Aubin-Frankowski and A. Korba!
Link: arxiv.org/abs/2406.08938