Machine Learning Section at the Department of Computer Science, University of Copenhagen! Tweets about research & job openings. #DIKU #ML #DeepLearning #AI
Copenhagen, Denmark
Joined March 2021
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Machine Learning Section @UCPH retweeted
🌍 Join us for the 3rd session of the AI for Earth & Sustainability Science Discovery Series! 🌱
🗓️ 06 Nov 2024
Speaker: @christian_igel (@uni_copenhagen)
Topic: Deep Learning for Large-Scale Ecosystem Monitoring
More details: aiforgood.itu.int/speaker/ch…
Machine Learning Section @UCPH retweeted
I pre-recorded my talk for the #SSL4EO summer school in Copenhagen this morning. I'm happy to share it here, too. This talk provided the basis for @kklmmr's presentation and hands-on tutorial on location encoding and #SatCLIP embeddings. Thanks to @MLSectionUCPH @nicolangnl @christian_igel
Ankit Kariryaa, and Stefan Oehmcke, for the invitation.
Machine Learning Section @UCPH retweeted
I am looking for a PhD student in algorithmic aspects of differential privacy. Our new student will be affiliated with BARC and financed by the Providentia project (rasmuspagh.net/providentia/). Excited about algorithms theory, math with real-world applications and looking for a PhD?
Machine Learning Section @UCPH retweeted
The University of Copenhagen has multiple open positions in Computer Science, especially in Machine Learning and #TrustworthyML
Come join us!
Do you want to shape the future of computer science? We are looking for professors at all levels within all areas of Computer Science to join our department! 🚀
📆 Application deadline: 1 September 2024
Take a look at the position and apply here 👉 di.ku.dk/english/about/vacan…
Machine Learning Section @UCPH retweeted
Using #AI, breast radiologists led by @andefader from 🇩🇰 @MLSectionUCPH at @Uni_Copenhagen have improved #breastcancer screening performance and reduced the rate of false-positive findings. Study results were published in @radiology_rsna. dlvr.it/T7rwpR
Machine Learning Section @UCPH retweeted
Andreas Lauritzen et al from @MLSectionUCPH in @Uni_Copenhagen have found AI reduces breast radiologist workload while also improving screening performance and decreasing false-positive findings. buff.ly/4aOSRdd #radiology #EUSOBI #mammography
Machine Learning Section @UCPH retweeted
📢Deep point cloud regression for above-ground #forest #biomass estimation from airborne #LiDAR
in RSE w/ Stefan, Lei, Katerina, Jaime, Thomas & Fabian
#deeplearning directly on 3D points instead of summarizing features - I think this is the way to go:
authors.elsevier.com/sd/arti…
Machine Learning Section @UCPH retweeted
Yevgeny Seldin from @MLSectionUCPH points out that stationarity assumptions in classical #MachineLearning are ancient, by citing a quote in the bible (bottom of slide) at the @AiCentreDK moonshots workshop 😅
Machine Learning Section @UCPH retweeted
Excited to share that the work we did during my visit in Haipeng Luo's
lab was accepted at NeurIPS 2023!
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
arxiv.org/abs/2305.17380
Machine Learning Section @UCPH retweeted
Proud to present Denoising Diffusion Models, where we connect the learned score of a diffusion model with force fields to do sampling and simulations🎉 Work done during a wonderful collaborative internship @MSFTResearch
@JCIM_JCTC pubs.acs.org/doi/10.1021/acs…, arxiv.org/abs/2302.00600
Machine Learning Section @UCPH retweeted
📢 Canopy cover, height and above-ground biomass maps from 3m resolution nanosatellite imagery across Europe
science.org/doi/10.1126/scia…
@VILLUMscience @VILLUMFONDEN @AiCentreDK @MLSectionUCPH
#AI #MachineLearning #deeplearning #trees
The biomass of every tree in Europe was mapped. That allows us to quantify the overlooked contribution of trees outside forests, such as in urban areas, to national carbon stocks. Maps and codes for download via the paper in Science Advances science.org/doi/10.1126/scia… #PlanetScope
Machine Learning Section @UCPH retweeted
Ever consider the carbon footprint of neuroimaging research? Computing choices matter! Dive into the preprint to see 10 sustainable strategies for greener neuroimaging:
osf.io/7q5mh/
From: SEA-SIG members @nicksouter, @raghavian, @NeuroRae, Nikhil Bhagwat & colleagues
Machine Learning Section @UCPH retweeted
Our @ImageUCPH own's Jon Sporring has co-authored a book on Medical Image Analysis. Check it out! 👀
Excited to see a textbook over 6 years in the making finally out! Co-edited with Jerry Prince and Milan Sonka, and a stellar team of section editors and authors in the @MICCAI-Elsevier Book Series. Check it out!
shop.elsevier.com/books/medi…
Machine Learning Section @UCPH retweeted
I'm hiring a postdoc for 18 months to work with us on tokenization-free NLP in Copenhagen. Applications are due by August 31: di.ku.dk/english/about/vacan…. Don't hesitate to reach out with informal inquiries.
ALT An example of our PIXEL language model reconstructing part of the job announcement. The reconstructions are shown in the grey blocks.
Machine Learning Section @UCPH retweeted
Join us tomorrow when Professor Anna Goldenberg will give a Talk on Developing and deploying time series models in healthcare.
For more information: aicentre.dk/events/talk-deve…
We look forward to seeing you!
Machine Learning Section @UCPH retweeted
We have a TT Assistant Professor position in Quantum Algorithms for Chem & Life Science open at UCPH. Please apply (& retweet)! Encourage your friends to apply.
candidate.hr-manager.net/App…
#QuantumComputing #Quantum #UCPH #Copenhagen #TenureTrack #NQCP #QuantumForLife
Machine Learning Section @UCPH retweeted
[DK] Jeg havde lige fornøjelsen at blive interviewet omkring brugen af AI i sundhedsvæsenet på TV2 News. Det hele bliver genudsendt nu fra kl. 9 af, så hvis du vil høre lidt om mine holdninger, så se med! @ImageUCPH @DIKU_Institut @CopenhagenNeuro @Rigshospitalet
Machine Learning Section @UCPH retweeted
Become aware of the environmental impact of AI, and get equipped with methods and tools to measure and document the impact of deep learning models and to make them more energy efficient #AI #Climate #KunstigIntelligens #DeepLearning #AutoML #TinyML @daniel_hers @koebenhavns_uni
Machine Learning Section @UCPH retweeted
🚨 Are you interested in the Fairness of Artificial Intelligence for Medical Imaging? Don't miss our next #FAIMI workshop at #MICCAI2023!
⏰Papers due: Jul 21, 2023
📅Workshop: Oct 8, 2023
📍Where: Vancouver 🇨🇦
Check out: faimi-workshop.github.io/202…
Machine Learning Section @UCPH retweeted
📢 We are looking for a Tenure-track Assistant Professor, Associate Professor and Full Professor in Machine Learning to join our department!
Read more about the positions and apply before 6 August 2023👉di.ku.dk/english/about/vacan…
Please share with your network 🔁
@MLSectionUCPH
