Remy Kusters

[Remy Kusters @RemyKusters]

@Michael__Rera @GJ_Both Thanks! Very interesting indeed.

[Xavier Rey-Robert @XReyRobert]

Pour les inscriptions:
https://t.co/Z436wKOYNL

Pour l'abstract du papier de recherche de @EloiZablocki: https://t.co/MJ2eFfoCPj

RT @vperrin @VasquesXavier @harleydavis @RemyKusters @AAairom @IBM_France

[Remy Kusters @RemyKusters]

Excited to share the first preprint from the @IBMResearch Paris team. We present a differentiable rule induction algorithm, integrating the interpretability of rule learning with a neural network based prediction model. @IBM_France https://t.co/zVtRNKCCCP

[Remy Kusters @RemyKusters]

Last Friday I had the honour of seeing @GJ_Both succesfully defend his PhD. I am very grateful for all the wonderful work he did during the last three years. It was a pleasure working together.

[Xavier Rey-Robert @XReyRobert]

2ème session du Café -Séminaire IBM Research mensuel sur l'#IA interprétable ce Jeudi 2 à 14h30 !

Nous accueillons Le Pr. Yoshua Bengio du Montreal Institute of Learning Algorithms, prix Turing 2018, qui parlera des Generative Flow Networks-GFlowNets
https://t.co/2Sb80Zky5o

[Robert Lustig MD @RobertLustigMD]

"We demonize certain drugs, and celebrate others," says Michael Pollan (@michaelpollan). "Sugar is a drug, and celebrated. But it's high time we demonize it." @nytimes

https://t.co/m6FpUiei8h

[Kees Storm @stormkees]

This is pure gold. Or germanium, who can tell. H/T
@jim_deane https://t.co/1zVqv7mSjJ

[Remy Kusters @RemyKusters]

@arXiv_Daily @GJ_Both

[arXiv Daily @Arxiv_Daily]

Sparsistent Model Discovery
https://t.co/6f7uYGqXeU
by Georges Tod et al. including @RemyKusters
#DeepLearning #Hyperparameter

[Remy Kusters @RemyKusters]

@arXiv_Daily @GJ_Both

[arXiv Daily @Arxiv_Daily]

Fully differentiable model discovery
https://t.co/22tM9GlFgY
by Gert-Jan Both and @RemyKusters
#NeuralNetwork #ComputerScience

[Remy Kusters @RemyKusters]

Our team at @IBMResearch is hiring a senior research scientist (Paris-Saclay) to work on safe, explainable and responsible AI systems. If you have 1+ years of research experience after PhD and are excited to join the team, get in touch! https://t.co/blMO2eCBrp

[Remy Kusters @RemyKusters]

@stormkees @CriResearch @IBMResearch Hi Kees, thanks and let's catch up soon!

[Remy Kusters @RemyKusters]

After three fantastic years at @CriResearch I am happy to start a new adventure at @IBMResearch where I will continue to work on interpretable and explainable machine learning

[liubov @luyibov]

W/@RemyKusters and @GJ_Both we worked on classification of trajectories based on a set of features of them inspired by the challenge by @AndiChallenge
Some ongoing progress open for suggestions 👁️
https://t.co/foqUCLLou7
#trajectories #classification #randomwalks @CriResearch

[Remy Kusters @RemyKusters]

New paper is out on performing automated model discovery using DeepMoD when very few sensors are available to collect the data. Paper will be presented at the ICLR workshop on AI for Modeling Oceans and Climate Change, May 7th!

[arXiv Daily @Arxiv_Daily]

Model discovery in the sparse sampling regime
https://t.co/XDe2yw6zGt
by Gert-Jan Both et al. including @RemyKusters
#NeuralNetwork #DeepLearning

[Remy Kusters @RemyKusters]

The next round for research fellows @CriResearch is open again. Join this fantastic place to do research in the center of Paris!

[Research - Learning Planet Institute @research_lpi]

[Jobs] [Research] Team leader positions open! Join @Inserm & @Univ_Paris unit at @CRI working on life, health, digital, learning sciences. Open to all, early career to tenured researchers, introducing our new Women in Science program👩‍🔬👩‍🏫👩‍💻! Deadline 30/4 https://t.co/uSLzBcdWeh

[Remy Kusters @RemyKusters]

Interesting read on how AI research shifted from theoretical science to an experimental science but lacking a proper methodology. In my own experience, the majority of papers still don’t share their code/data resulting in an avoidable replication crisis: https://t.co/koqHy86iLv

[Quercia @danielequercia]

Trust - Our World in Data https://t.co/u9bnlrh3Th

[Remy Kusters @RemyKusters]

Trying to discover interpretable models from data: Our team just released a modular package for deep learning-driven model discovery of PDEs and ODEs: DeePyMoD. Paper, code, and documentation is available on:
https://t.co/TxgIqU5LVu
https://t.co/TvkhEdxfGc
@GJ_Both @criparis