PhD Student @EPFL_en with @devistuia 🇨🇭 Deep Learning applied to Ecology and Species Distribution Modeling 💻🦜🌍

Joined August 2021
Robin Zbinden retweeted
I would like to think about this as an invitation that physics extends towards AI/ML to think like physicists: -"Let's figure out how the world works". This is unlike computer scientists, who often see worst cases and adversaries. Nor mathematicians who need theorems everywhere.
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
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Interested in underwater SfM/SLAM?🪸📸🌊🤿 I will present our approach to remove detrimental caustics and backscatter from single images at #ECCV2024 in Milan this week. Work done at ECEO @EPFL_en with @devistuia! Come say hi on Thursday Oct 3 at 16:30! eccv.ecva.net/virtual/2024/p…
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Robin Zbinden retweeted
🚨 job alert! We just opened a PhD position in my lab for a crazy interesting and important project with @ETH_en and the @ICRC We will look into new ways to use nightlight 🛰 data for characterising humanitarian crisis situations! Apply: careers.epfl.ch/job/Sion-PhD… @EssTechEPFL
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Today, I have started my new position as Lecturer/researcher in the People & Nature Lab at University College London (@ucl, @UCLCBER )! I will be working with fabulous @ProfKateJones on technology and machine learning for environmental good. Stay tuned for news and opportunities!
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Robin Zbinden retweeted
For the first paper of @nina_vTiel ‘s PhD, we embarked in the adventure of mapping 10’000 species of trees 🌲 globally and study projected distribution changes under climate change scenarios! with @loic_pellissier @CrowtherLab , @NEZimmermann_ and many more! In @NatureComms
A group of EPFL and @ETH_en scientists have mapped the biodiversity in forests worldwide. Their data, when combined with climate projections, reveal trends that could support ecosystem conservation and restoration efforts. @epflENAC go.epfl.ch/e178c2
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PhD position on NLP+Earth observation at Inria Montpellier: recrutement.inria.fr/public/… In the context of the GEO-ReSeT project (Inria and Université de Paris Cité), we are looking for someone to help us build a language-aware Earth observation foundation model.
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If you are @iclr_conf, come catch us at the poster session of “Tackling Climate Change with ML” at 2:30 where we present our work “Predicting Species Occurrence Patterns from Partial Observations” , work with @melisandeteng & @david_rolnick arxiv.org/pdf/2403.18028
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Robin Zbinden retweeted
Heavy poster teamwork action today with @ZbindenRobin @kklmmr at #ICLR2024
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Robin Zbinden retweeted
Come join us at our spotlight 🤩 poster today at #ICLR2024. @kklmmr @ZbindenRobin, and I will present it in Hall B #266 Wed 8 May 4:30 p.m. 6:30 p.m. marcrusswurm.com/locationenc… paper: openreview.net/forum?id=Pudd… @devistuia @rolf_comma_e
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Towards real-time 3D mapping of coral reefs with deep learning using only videos from cheap cameras, now published in Methods and Ecology and Evolution! In short, we propose to use 3D mapping entirely driven by deep learning.
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Robin Zbinden retweeted
Geh heast! Our spherical harmonics location encoding paper has been accepted as a spotlight at #ICLR2024. See you in Vienna! 🥳
New preprint out on geographic location encoding using spherical harmonics and sinusoidal representations! 🌐➡️🌏 Work led by @MarcCoru and w/ @rolf_comma_e, Robin Zbinden and @devistuia. 📄Paper: arxiv.org/abs/2310.06743 💻Code: github.com/marccoru/location… 🧵Thread: 👇 1/11
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Robin Zbinden retweeted
Congratulation to @devistuia, elected as Fellow of the Institute of Electrical and Electronics Engineers (@IEEEorg) “for his for contributions to artificial intelligence and machine learning applied to Earth Observation data”. @EPFL_en
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Robin Zbinden retweeted
Dont Forget to apply to this wonderful position in my team! 🦓 + 🛰 + 🤖 = 💥
🚨 job alert ! Come join my Lab #eceo in beautiful Sion, as a postdoc in #ecology and #deeplearning ! We want you to build the next gen Species Distribution Models! Apply now! recruiting.epfl.ch/Vacancies…
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Robin Zbinden retweeted
Hello world 🌎🛰️! We have a new #Cell #iScience (SI #GeoAI) paper out with S.J. Venkatesa and @devistuia on Detection of Marine Debris with Sentinel-2! sciencedirect.com/science/ar… It's joint work between @WUR and @epflENAC and part of the ADOPT @SDSCdatascience project!
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🌡️  ERA5 data from @CopernicusECMWF indicates that 17 November was the first day that the global temperature exceeded 2°C above pre-industrial levels, reaching 2.07°C above the 1850-1900 average and the provisional ERA5 value for 18 November is 2.06°C.
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Robin Zbinden retweeted
🚨 job alert ! Come join my Lab #eceo in beautiful Sion, as a postdoc in #ecology and #deeplearning ! We want you to build the next gen Species Distribution Models! Apply now! recruiting.epfl.ch/Vacancies…
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Did you miss our latest webinar? No worries! You can check out the recording of @devistuia's talk on our YouTube channel: youtube.com/watch?v=SIGgzhHT… 🎥📺
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Robin Zbinden retweeted
New preprint out on geographic location encoding using spherical harmonics and sinusoidal representations! 🌐➡️🌏 Work led by @MarcCoru and w/ @rolf_comma_e, Robin Zbinden and @devistuia. 📄Paper: arxiv.org/abs/2310.06743 💻Code: github.com/marccoru/location… 🧵Thread: 👇 1/11
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