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a/content/_index.md +++ b/content/_index.md @@ -11,6 +11,10 @@ sections: title: # Choose a user profile to display (a folder name within `content/authors/`) username: admin + design: + spacing: + # Customize the section spacing. Order is top, right, bottom, left. + padding: ['0', '0', '0', '0'] - block: collection id: posts content: diff --git a/content/authors/admin/_index.md b/content/authors/admin/_index.md index 3c66bc9..2ad29ff 100644 --- a/content/authors/admin/_index.md +++ b/content/authors/admin/_index.md @@ -55,11 +55,14 @@ highlight_name: true ## Biography

-Welcome ! I am a Full Professor at University Bretagne Sud since 2018. I obtained my PhD degree in 2002 from INSA Rennes and my 'Habilitation à diriger des recherches' in. 2013, on the topic of computer graphics and animation (avatars, crowds), with a specialization in data-driven methods. I now lead the Obelix team in IRISA, which research contributions lie at the crossroad of machine learning and Earth Observation. I am an experienced researcher in the domain of machine learning and AI. Among others, I have published several papers in top tier machine learning conferences (NeurIPS, ICLR, ICML, AISTATS, etc.), computer vision (IEEE TPAMI, ECCV, ACCV) and remote sensing (IEEE TGRS, ISPRS journal). From 2014, I developed an expertise in the domain of optimal transport and related applications to machine learning. From 2020, I am the principal invesitgator in an ANR Chair program on AI (OTTOPIA), on the topic of applied optimal transport for Remote Sensing. +Welcome ! I am a Full Professor at University Bretagne Sud since 2018. I obtained my PhD degree in 2002 from INSA Rennes and my 'Habilitation à diriger des recherches' in 2013, on the topic of computer graphics and animation (avatars, crowds), with a specialization in data-driven methods. I now lead the Obelix team at IRISA, which research contributions lie at the crossroad of machine learning and Earth Observation. I am an experienced researcher in the domain of machine learning and AI. Among others, I have published several papers in top tier machine learning conferences (NeurIPS, ICLR, ICML, AISTATS, etc.), computer vision (IEEE TPAMI, ECCV, ACCV) and remote sensing (IEEE TGRS, ISPRS journal). From 2014, I developed an expertise in the domain of optimal transport and related applications to machine learning. From 2020, I am the principal investigator in an ANR Chair program on AI (OTTOPIA), on the topic of applied optimal transport for Remote Sensing.

### Scientific interests: - Optimal transport, Statistical learning, kernel methods - Manifold and geometric approaches to machine learning - - Applications to computer graphics, vision and remote sensing \ No newline at end of file + - Applications to computer graphics, vision and remote sensing + +### Code production +As a computer scientist, I definitely believe in the power of open-source and reproducibility as a basis of science. Though my current activities will not let me hand on code as much as I want to, I still enjoy coding in C++, Cuda kernels or PyTorch. Take a look at the [coding section](code/) to know more. \ No newline at end of file diff --git a/content/code/_index.md b/content/code/_index.md index d72d83e..45108fd 100644 --- a/content/code/_index.md +++ b/content/code/_index.md @@ -15,6 +15,13 @@ You can find a list of some of the softwares and codes available from my researc >}} To install it, simply `pip install pot` +- [TorchDR](https://github.com/TorchDR/TorchDR) is an open-source dimensionality reduction (DR) library using PyTorch. Its goal is to accelerate the development of new DR methods by providing a common simplified framework. It was mainly created by [Hugues Van Assel](https://huguesva.github.io/), and I am contributing to it. + +{{< figure + src="torchdr.png" + alt="Torch Dimensionality Reduction" +>}} + ### Paper codes diff --git a/public/404.html b/public/404.html index 66fdcf0..2a3bc48 100644 --- a/public/404.html +++ b/public/404.html @@ -1,6 +1,6 @@ - + @@ -315,7 +315,7 @@ - + @@ -325,7 +325,7 @@ - + @@ -441,6 +441,8 @@

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