Techno±logie Enthusiast, XAI+HCI Researcher @TUBerlin and @JWI_Berlin. Currently evaluating the effectivenes of user-centered XAI technqiues.
Berlin
Joined December 2009
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Do Users Benefit From Interpretable Vision? Our user study shows that our baseline explanation technique outperformed concept explanations and performed similarly to invertible neural network explanations. Join us today at 7:30pm CEST iclr.cc/virtual/2022/poster/… #ICLR2022 @iclr_conf
Martin Schuessler retweeted
I will run Deepseek-V3-Base 685B on M4 Mac Minis or die trying.
685B MoE with 256 experts -- perfect for Apple Silicon since they have a lot of GPU memory and only a small subset of params are active at once.
Outperforms SOTA closed-source models on benchmarks including Aider.
Martin Schuessler retweeted
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
Martin Schuessler retweeted
Remember when serious people said ridehail would help solve climate change? Oops.
This new @ITS_UCDavis study found that most ridehail trips in California replaced transit (#1 substitute), biking, walking, or carpool or wouldn't have happened.
doi.org/10.1177/036119812412…
Martin Schuessler retweeted
Nicht die Fläche wählt, sondern die Menschen!
Für die Darstellung wird jeder Landkreis in einen Punkt umgewandelt, wobei die Größe des Punktes proportional zur Anzahl der Wähler-/innen ist 👉 das Wahlergebnis wird dadurch besser abgebildet und weniger verzerrt.
Martin Schuessler retweeted
Ist angesichts der Umtriebe der Prosecco-Nazis von #Sylt überfällig
Martin Schuessler retweeted
Here is where #farmers storm the EU area at Maalbeek near EU HQ. "It looks like civil war" say EU officials as tractors overwhelm police. #FarmerProtest2024 #FarmersProtest2024
Martin Schuessler retweeted
During COVID, I collaborated with @martnsch and @oanaucs on how to evaluate interpretability in an online human subject study: arxiv.org/abs/2204.11642 We developed a rigorous study design, measured the true feature importance, and created a simple baseline.
Martin Schuessler retweeted
Screw flying, this is what I want to see for the future 🤞🌙🚆
#Trainsbeforeplanes #Nighttrains
Martin Schuessler retweeted
FB algorithms classify race, gender, and age of people in ad images and make delivery decisions based on the predictions. Images of Black folks are shown more to B users; images of children are delivered more to women; images of young women reach older men.
Trage Dich hier ein und solidarisiere Dich mit den Frauen im Iran! gruene.de/aktionen/hier-eint…
Martin Schuessler retweeted
Funded and organised by @bifoldberlin, hosted at the #weizenbauminstitut: #BIFOLD Summer School 2022 - Ethics in Machine Learning & Data Management. About 30 Ph.D. students from the German Artificial Intelligence Network are here for lectures and workshops this week:
Martin Schuessler retweeted
Another paper #ICML_2022: "A psychological theory of explanation" led by Scott Cheng-Hsin Yang and @Sjnjerak
arxiv.org/abs/2205.08452
(version to be updated soon)
Quick summary:
Martin Schuessler retweeted
The fairy tale of a 3 year PhD in Germany in one figure. dfg.de/dfg_profil/zahlen_fak…
Martin Schuessler retweeted
In a guest article for the #ML2R Blog, @MilagrosMiceli & @martnsch (@JWI_Berlin & @TUBerlin) detail the power differentials & commercial interests in #DataAnnotation that influence how systems learn to “see“.
Post on #Ethics in #ComputerVision (English) ➡️ machinelearning-blog.de/anwe…
ALT The ML2R Blog has published its first guest article. In their post, authors Milagros Miceli and Martin Schuessler from the Weizenbaum Institute for the Networked Society and TU Berlin write on ethics in computer vision. The article in the category Application is titled, "Data Annotation for Computer Vision: How Power Shapes Datasets and Systems".
