Machine Learning Section @UCPH

Machine Learning Section at the Department of Computer Science, University of Copenhagen! Tweets about research & job openings.
#DIKU #ML #DeepLearning #AI

[Machine Learning Section @UCPH @MLSectionUCPH]

Join us in Copenhagen for the 3rd IEEE Conference on #Secure and #Trustworthy #MachineLearning.

[Amartya Sanyal @AmartyaSanyal]

Registration for @satml_conf is now open https://t.co/NuaXuRi8Xd

#SatML2025

[Machine Learning Section @UCPH @MLSectionUCPH]

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 https://t.co/Tu3bcoepOK
@AmartyaSanyal

[Machine Learning Section @UCPH @MLSectionUCPH]

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
https://t.co/ZB4kYufMFC
#MachineLearning @christian_igel @ms_talebi

[ELLIS Unit Jena @Ellis_Unit_Jena]

🌍 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: https://t.co/HBvxVG5gvn

[Marc Rußwurm @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 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 @MLSectionUCPH]

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

[Machine Learning Section @UCPH @MLSectionUCPH]

Open call for a faculty position at @DIKU_Institut. Apply and join us at the @MLSectionUCPH!

#MachineLearning #AcademicJobs

Call: https://t.co/RZwu9Q3PPr

[Machine Learning Section @UCPH @MLSectionUCPH]

📢📢📢 #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]

@nicolangnl will present our work
„From Coarse to Fine-Grained Open-Set Recognition“
w/ @vesteinns, @eli_cole_, @oisinmacaodha, @SergeBelongie at #CVPR2024 :
https://t.co/pTn2pt50ig

[Machine Learning Section @UCPH @MLSectionUCPH]

📢📢📢 #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: https://t.co/KMNNwh3kjS

[Rasmus Pagh @RasmusPagh1]

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 (https://t.co/bEICTial3b). Excited about algorithms theory, math with real-world applications and looking for a PhD?

[Amartya Sanyal @AmartyaSanyal]

The University of Copenhagen has multiple open positions in Computer Science, especially in Machine Learning and #TrustworthyML

Come join us!

[Machine Learning Section @UCPH @MLSectionUCPH]

Check out the upcoming PhD course on Self supervised learning, organized by several members of @MLSectionUCPH
@nicolangnl @christian_igel Ankit Kariryaa, Stefan Oehmcke

[Nico Lang @nicolangnl]

At University of Copenhagen, we are organizing a summer PhD course on SSL4EO. Registration is now open via: https://t.co/fJeFjXUP06 (seats are limited). We are looking forward to hear from: @randall_balestr, @MarcCoru, @kklmmr, @brunosan, @JanDirkWegner1, @xiaoxiang_zhu

[Machine Learning Section @UCPH @MLSectionUCPH]

Open call for a faculty position at @DIKU_Institut. Apply and join us at the @MLSectionUCPH!

#MachineLearning #AcademicJobs

Call: https://t.co/RZwu9Q3PPr

[European Hospital @EuropHospital]

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. https://t.co/RvtGdrY2N4

[AuntMinnieEurope @AuntMinnieEuro]

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. https://t.co/WF3av3fvLP #radiology #EUSOBI #mammography

[Machine Learning Section @UCPH @MLSectionUCPH]

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: https://t.co/3OpPNBx5C4

[M. Sadegh Talebi @ms_talebi]

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: https://t.co/0YKTK21kys.

[Machine Learning Section @UCPH @MLSectionUCPH]

Congratulations to our new Associate Professor, Oswin Krause.

[Christian Igel @christian_igel]

Oswin has been promoted to Associate Professor at @DIKU_Institut 🎉

[Machine Learning Section @UCPH @MLSectionUCPH]

Come join us at @MLSectionUCPH! Excellent opportunity for PhD with @AmartyaSanyal and others.

[Amartya Sanyal @AmartyaSanyal]

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.

https://t.co/tMnTLeDl3R

RTs appreciated

[Machine Learning Section @UCPH @MLSectionUCPH]

Join @AmartyaSanyal at the @MLSectionUCPH !

[Amartya Sanyal @AmartyaSanyal]

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!

[Christian Igel @christian_igel]

📢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:
https://t.co/yZk66Gcm8o

[Machine Learning Section @UCPH @MLSectionUCPH]

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:
https://t.co/8ye3GYiKNX
#AcademicTwitter #JobOpportunity #DataScience #MachineLearning