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…

***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

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?

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

🎉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

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…

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)

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

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

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!

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…

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…

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)

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/

New postdoc position on ML for protein design @EPFL_en with @befcorreia @wellingmax and yours truly recruiting.epfl.ch/Vacancies…

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/.

I am excited to share our recent work on anomaly detection, which provided a unified and comprehensive survey on anomaly,open-set and out-of-distribution detection. arxiv.org/pdf/2110.14051.pdf Thanks to my excellent collaborators:@MrzSalehi @MhRohban @hendrycks @SharonYixuanLi