Lukas Ruff

Trustworthy ML, robustness, anomaly detection, digital pathology. Head of Data Science @AIgnostics. Previously did my PhD in the ML Group at @TUBerlin.

[Lukas Ruff @lukasruff]

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
https://t.co/cU1n8axSRj

[Siddharth Bhatia @siddharthb_]

***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:
https://t.co/mz64pL6xW9

#internship #hiring

[Lukas Ruff @lukasruff]

@tdietterich @roydanroy (2) Given auxiliary examples to contrast normal data seems much more effective to learn relevant representations than I thought. Hence self-sup. or OE methods currently set also the SOTA. Learning relevant representations purely from normal data seems hard-to-impossible though.

[Lukas Ruff @lukasruff]

@tdietterich @roydanroy (1) Representation ultimately (fundamentally somewhat also trivially) defines anomaly. Under different representations, the same data instance can either be normal or anomalous. Thus, anomalies are inherently contextual (the cat/dog example in our review examplifies this).

[Dan Roy @roydanroy]

Who's an expert in anomaly detection out there? What's are the key texts in this area? Does it have a rigorous theoretical foundation? That handles the adversarial aspects? And what about deep learning and in-roads there?

[Lukas Ruff @lukasruff]

@yzhao062 @CSatUSC @USCViterbi @CarnegieMellon @leman_akoglu @JiaZhihao @jure Congrats, Yue!

[@tmpentimalli.bsky.social @TMPentimalli]

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 + 🧵!
🔗 https://t.co/g7O70OAus3

[Lukas Ruff @lukasruff]

@lukas_mut We’re always in search for great people to join our mission to beat cancer @AIgnostics 😉

[Stephan Mandt @StephanMandt]

🎉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

[AIGNOSTICS @AIgnostics]

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).

https://t.co/O4PTLGstPh

[Lukas Ruff @lukasruff]

@nicoli_kim @FrankNoeBerlin @KyleCranmer Congrats Kim! 🥳

[Stephan Mandt @StephanMandt]

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)

[Bernhard Schölkopf @bschoelkopf]

A few more hours left to register for what may be the most exciting PhD program in Europe

[Konrad Rieck 🌈 @mlsec]

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 https://t.co/m5k2Py1nq2). I will soon post openings for PhD/postdoc positions. Stay tuned or DM now 1/2

[Lukas Ruff @lukasruff]

@lukas_mut A nice self-contained figure in the paper and pseudocode in the appendix.

[Stephan Mandt @StephanMandt]

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!

[Mihaela van der Schaar @MihaelaVDS]

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: https://t.co/GbFCLFMjah

[AIGNOSTICS @AIgnostics]

We are thrilled to announce that we raised a €14m Series A led by @wellingtonvc - you can read the full press release here: https://t.co/rOvcJU7vru

[Lukas Ruff @lukasruff]

@edcatmull on “paper killers” vs. “idea protectors” in academic peer review. Cheers to all the idea protectors out there. 🍻 #AcademicChatter

[Lukas Ruff @lukasruff]

@LiJundong Thank you, @LiJundong !

[Lukas Ruff @lukasruff]

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
https://t.co/cU1n8axSRj