Trustworthy ML, robustness, anomaly detection, digital pathology. Head of Data Science @AIgnostics. Previously did my PhD in the ML Group at @TUBerlin.
Berlin, Germany
Joined January 2009
- Tweets276
- Following681
- Followers248
- Likes779
Pinned Tweet
I'm honored and humbled to receive the ANDEA'22 Rising Star Award for my contributions to anomaly and novelty detection! My heartfelt thanks goes to the organizers of the workshop and everyone who supported me on this research journey! (1/4)
#KDD2022
sites.google.com/view/andea2…
Lukas Ruff retweeted
***Internship Opportunity***
We're hiring interns.
Come, join us in building an ML platform reinvented for real-time. You'll gain hands-on experience in building ML systems from the ground up.
💸 Stipend: ₹1L/month
🗓️ Start Date: May/June 2024
📍 Location: Virtual
🚀 Career Path: We'll roll out PPOs to top performers
Open Roles:
1. ML
2. Infra
3. DevOps
4. Streaming Systems
5. UI/UX
If you're interested, please fill out this form:
forms.gle/SQxiXALXzztQyWbQA
#internship #hiring
Lukas Ruff retweeted
Cells live and interact in 3D tissues but pathology and spatial omics typically rely on 2D sections...
Excited to share our latest efforts in @N_Rajewsky lab to generate a 3D, multimodal atlas of a human tumor!
Find out what we learned: video + 🧵!
🔗 bit.ly/3D_lung_cancer
Lukas Ruff retweeted
🎉Exciting news! Our "Neural Compression" workshop proposal has been accepted at #ICML 2023! Join us to explore the latest research developments, including perceptual losses and more compute-efficient models! @BerivanISIK, @YiboYang, @_dsevero, @karen_ullrich, @robamler
Lukas Ruff retweeted
We are delighted to announce that Aignostics has been awarded a 3 year grant under the “ProFIT” initiative. It was approved by the Investitionsbank Berlin (IBB) and is co-financed by the European Union under the EU Regional Development Fund (ERDF).
aignostics.com/news/aignosti…
Lukas Ruff retweeted
Could deep learning take data compression to the next level? Can we do better than established codecs for images, video, audio, and other types of data? Check out our upcoming #NeurIPS2022 Tutorial on Data Compression with Machine Learning! @karen_ullrich @YiboYang (1/4)
Lukas Ruff retweeted
A few more hours left to register for what may be the most exciting PhD program in Europe
Looking for PhD opportunities in #MachineLearning or related fields? The #ELLISPhD Program is now accepting applications! Apply until November 15, 2022. #JoinELLISforEurope #phdlife #phd #AI ellis.eu/news/ellis-phd-prog…
Lukas Ruff retweeted
I am thrilled to announce that I will join @TUBerlin in January! My group will form the new Chair of Machine Learning and Security in the new AI institute BIFOLD (@bifoldberlin bifold.berlin). I will soon post openings for PhD/postdoc positions. Stay tuned or DM now 1/2
Lukas Ruff retweeted
Looking to sponsor a top ML conference? @aistats2023 welcomes sponsors at various levels. As this year's Sponsorship Chair, I'm happy to provide more info. Get in touch by email!
Lukas Ruff retweeted
I am looking for four outstanding machine learning PhD students to join my lab at @Cambridge_Uni! All projects are targeted, practical, and are fully funded for 4 years. We are creating new frontiers in machine learning - YOU can be part of that! Click: vanderschaar-lab.com/join-th…
Lukas Ruff retweeted
We are thrilled to announce that we raised a €14m Series A led by @wellingtonvc - you can read the full press release here: aignostics.com/aignostics-ra…
I'm also super hyped that our ICML 2018 paper on Deep One-Class Classification received the ANDEA'22 Test-of-time Award! This was my very first first-author paper and laid the foundation for my thesis work.
@robvdm @ldeecke @KloftMarius
proceedings.mlr.press/v80/ru…
Last year, I've joined @AIgnostics where I'm the Lead ML Researcher. We're researching and developing ML for cancer diagnostics and treatment. Anomaly detection also plays a vital role here, e.g. for detecting artifacts or rare subtypes of cancer. (4/4)
aignostics.com/
Lukas Ruff retweeted
Excited to share "An Introduction to Neural Data Compression," presenting joint work with @YiboYang and @lucastheis. Our review article shows how generative models such as GANs, VAEs, and flows can revolutionize codec design and achieve unprecedented performance. (1/5)
Lukas Ruff retweeted
Tomorrow I will give a talk at the Anomaly Detection for Scientific Discovery (AD4SD) Seminar. I will share some thoughts on the opportunities and challenges in out-of-distribution detection.
Talk info and link available: ad4sd.github.io/seminars/
Lukas Ruff retweeted
New postdoc position on ML for protein design @EPFL_en with @befcorreia @wellingmax and yours truly recruiting.epfl.ch/Vacancies…
Lukas Ruff retweeted
Looking for an excellent ML PhD program? Don’t mind living by the ocean and great weather all year? I’m hiring at UC Irvine for next year. Possible topics: Bayesian deep learning, neural data compression, or deep learning for climate science. apply.grad.uci.edu/apply/.
Lukas Ruff retweeted
Looking to hire a post doc researcher at CMU,
for a project on graph anomaly detection with neural networks. Job posting and details at
andrew.cmu.edu/user/lakoglu/…
Contact me at [email protected]
Please feel free to forward to whom you think would be interested.