Follow our lab to stay tuned for our most recent research highlights! #MachineLearning BIFOLD TU Berlin

🎙️ In todays #PhD seminar Stefan Blücher and Marco Morik presented their #research on „Assessing what really matters for occlusion-based #XAI“ and „#DiffusionModels for Inverse Problems“ Thanks guys for the interesting talks and discussions! #MachineLearning

Stefan Blücher is a member of the BIFOLD Graduate School. The next application deadline is closing soon: 26. Jan 2024. bifold.berlin/about-us/oppor… 10 open positions #PhD #ResearchJob #Berlin #ScienceJob x.com/bifoldberlin/s…

Interested in higher-order #XAI Check out my recent package: github.com/bluecher31/hoo… It allows to calculater arbitrary interactions of features for #PredDiff and Shapley values. Trustworthy ML Initiative (TrustML) Explainable AI

Join BIFOLD and Machine Learning Group at TU Berlin Berlin as a #PhD candidate. Conduct cutting-edge research in deep learning & explainable AI. Apply by June 14, 2024. jobs.tu-berlin.de/en/job-posting… ML Group, TU Berlin

👩‍🔬Meet some of the BIFOLD researchers of the KI-Schnitzeljagd! Learn about AI while having fun. Don’t miss it! June 22, 2024 Fraunhofer HHI, Berlin langenachtderwissenschaften.de/programm/detai… #BehindTheScenes #AIResearch #LNDW2

Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Bluecher, Johanna Vielhaben, Nils Strodthoff. Action editor: Wei Liu. openreview.net/forum?id=bIiLX… #occlusion #features #feature

Our work on pixel flipping methodologies for #XAI methods got accepted at TMLR. Give our SRG measure a try the next time you benchmark your latest XAI method. Thanks Stefan Blücher Johanna Vielhaben for the fun collaboration Explainable AI Fraunhofer HHI BIFOLD

Greatful to be published Transactions on Machine Learning Research. Thanks to Nils Strodthoff and Johanna Vielhaben for their support. BIFOLD ML Group, TU Berlin Fraunhofer HHI

I never thought work of mine would be shown in a "State of Julia" talk, let alone in a football stadium, but modernjuliaworkflows.github.io with @gdalle and Jacobus Smit made it happen! #JuliaCon2024

🔊 New publication in Transactions on Machine Learning Research Decoupling Pixel Flipping and Occlusion Strategy for Consistent #XAI Benchmarks, by Stefan Blücher Johanna Vielhaben and Nils Strodthoff together with BIFOLD and Fraunhofer HHI 🙏🏼 #MachineLearning #AI

Attention is awesome! So we (Jordan Lei Ari Benjamin ML Group, TU Berlin Kording Lab 🦖 and #NeuroAi) built a biologically inspired model of visual attention and binding that can simultaneously learn and perform multiple attention tasks 🧠 Pre-print: doi.org/10.1101/2024.0… A 🧵...

🚀Last-minute check-in to an academic career? We're seeking a PhD student to research the security and privacy of generative AI. Fully funded position in vibrant Berlin! Deadline is this Friday, September 20th. Apply now: mlsec.org/jobs.html#jobs BIFOLD TU Berlin

✨ Our xMIL paper has been accepted at #NeurIPS2024 ✨ arXiv preprint: arxiv.org/abs/2406.04280

I have two vacant PhD positions in my group: 🏃 Machine Learning for Activity Trajectories s.gwdg.de/cSWx1D (Deadline Oct 20) 🧪 Machine learning for Medical Diagnostics s.gwdg.de/6NJfae (Deadline Oct 31) Looking forward to your applications!

#Job for #PhDCandidates: Develope and implement #XAI methods for ML models in Quantum Chemistry. BIFOLD is seeking a Research Associate in #ML for a project supervised by Dr. Stefan Chmiela and Dr. Shinichi Nakajima. Apply by 7th Nov '24 linkedin.com/jobs/view/4047… ML Group, TU Berlin

Our work on historical insights at scale using machine learning is now out in Science Advances! Very proud of this team effort, bridging disciplines and institutions—@MPIWG TU Berlin BIFOLD ML Group, TU Berlin 📜science.org/doi/10.1126/sc…

Join BIFOLD as a doctoral student in our Graduate School. Apply until February 03, 2025. Job ID: jobs.tu-berlin.de/en/job-posting… #jobvacancy #jobalert #ScienceJob #AI #research #Berlin