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Machine Learning Section @UCPH Profile
Machine Learning Section @UCPH

@MLSectionUCPH

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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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@MLSectionUCPH
Machine Learning Section @UCPH
9 months
Join us in Copenhagen for the 3rd IEEE Conference on #Secure and #Trustworthy #MachineLearning.
@AmartyaSanyal
Amartya Sanyal
9 months
Registration for @satml_conf is now open #SatML2025
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@MLSectionUCPH
Machine Learning Section @UCPH
9 months
Registration is also now open for the HYBRID Master-level course "#MachineLearning B" (22 Apr 2025 - 20 Jun 2025; 7.5 ECTS), supporting fully remote participation. Further info and registration at @AmartyaSanyal
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@MLSectionUCPH
Machine Learning Section @UCPH
9 months
Registration is now open for HYBRID Master-level course "Online and #Reinforcement Learning" (3 Feb 2025 - 4 Apr 2025; 7.5 ECTS), supporting fully remote participation. Further info and registration at .#MachineLearning @christian_igel @ms_talebi
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@MLSectionUCPH
Machine Learning Section @UCPH
9 months
RT @Ellis_Unit_Jena: 🌍 Join us for the 3rd session of the AI for Earth & Sustainability Science Discovery Series! 🌱.🗓️ 06 Nov 2024.Speaker:….
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
RT @MarcCoru: I pre-recorded my talk for the #SSL4EO summer school in Copenhagen this morning. I'm happy to share it here, too. This talk p….
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
Deadline for 1 ML and 2-3 trustworthy ML positions at @DIKU_Institut is coming up soon: Sep 1st! . Join us in lovely Copenhagen! .#MachineLearning #AcademicTwitter #jobopportunities
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
Open call for a faculty position at @DIKU_Institut. Apply and join us at the @MLSectionUCPH! . #MachineLearning #AcademicJobs. Call:
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
📢📢📢 #Publication Alert: Check out the work on "From Coarse to Fine-Grained Open-Set Recognition" by @nicolangnl from @MLSectionUCPH and co-authors which is being presented at @CVPR this week.
@christian_igel
Christian Igel
1 year
@nicolangnl will present our work.„From Coarse to Fine-Grained Open-Set Recognition“.w/ @vesteinns, @eli_cole_, @oisinmacaodha, @SergeBelongie at #CVPR2024 :.
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
📢📢📢 #Publication Alert from @MLSectionUCPH member @andefader . "Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer" .published in the Journal of Radiology. #MachineLearning #Medical #ImageAnalysis .Link:
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
RT @RasmusPagh1: I am looking for a PhD student in algorithmic aspects of differential privacy. Our new student will be affiliated with BAR….
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
RT @AmartyaSanyal: The University of Copenhagen has multiple open positions in Computer Science, especially in Machine Learning and #Trustw….
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
Check out the upcoming PhD course on Self supervised learning, organized by several members of @MLSectionUCPH .@nicolangnl @christian_igel Ankit Kariryaa, Stefan Oehmcke.
@nicolangnl
Nico Lang
1 year
At University of Copenhagen, we are organizing a summer PhD course on SSL4EO. Registration is now open via: (seats are limited). We are looking forward to hear from: @randall_balestr, @MarcCoru, @kklmmr, @brunosan, @JanDirkWegner1, @xiaoxiang_zhu
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
Open call for a faculty position at @DIKU_Institut. Apply and join us at the @MLSectionUCPH! . #MachineLearning #AcademicJobs. Call:
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
RT @AuntMinnieEuro: Andreas Lauritzen et al from @MLSectionUCPH in @Uni_Copenhagen have found AI reduces breast radiologist workload while….
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
Check out this announcement from @ms_talebi. Our #MachineLearning course is now open for industry participants, beyond university students, and can be taken entirely remotely. Check out this link for further info:
sites.google.com
In Fall 2024, Machine Learning A (MLA) will be taught by Christian Igel, Yevgeny Seldin, and Sadegh Talebi. The course covers theoretical and practical foundations of machine learning. The course...
@ms_talebi
M. Sadegh Talebi
1 year
Our "Machine Learning A" course in Fall 2024 at @DIKU_Institut welcomes applications from university students, industrial people, etc. It is master course covering basic theory and algorithms of ML, and can be taken fully remotely. Further info:
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
Congratulations to our new Associate Professor, Oswin Krause.
@christian_igel
Christian Igel
1 year
Oswin has been promoted to Associate Professor at @DIKU_Institut 🎉
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
Come join us at @MLSectionUCPH! Excellent opportunity for PhD with @AmartyaSanyal and others.
@AmartyaSanyal
Amartya Sanyal
1 year
The call for this position is now public. This will be jointly supervised with Prof. Amir Yehudayoff at @DIKU_Institut , Prof. Varun Kanade @CompSciOxford (including a stay in Oxford for 3-6 months), and myself. RTs appreciated.
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@MLSectionUCPH
Machine Learning Section @UCPH
1 year
@AmartyaSanyal
Amartya Sanyal
1 year
I will soon be hiring another PhD student to work with me at @DIKU_Institut @MLSectionUCPH in topics related to. 1⃣ Trustworthy ML (Differential privacy, Robustness) and.2⃣ Leveraging unlabelled data in ML. Reach out to me via DM/email if you are interested and spread the word!.
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@MLSectionUCPH
Machine Learning Section @UCPH
2 years
RT @christian_igel: 📢Deep point cloud regression for above-ground #forest #biomass estimation from airborne #LiDAR. in RSE w/ Stefan, Lei,….
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@MLSectionUCPH
Machine Learning Section @UCPH
2 years
New #TenureTrack position call is now online to join @DIKU_Institut with a possibility of working across research sections, departments at @koebenhavns_uni. Check out the detailed call here:.#AcademicTwitter #JobOpportunity #DataScience #MachineLearning
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