Philipp Berens
Professor of Data Science @ University of Tübingen, Director of Hertie AI (www.hertie.ai) and Speaker of ML4Science (www.machinelearningforscience.de)
- Reposted by Philipp BerensTogether with #AIMS, the African Institute for Mathematical Sciences, we have an exciting position to fill: The AIMS - Tübingen Junior Research Chair in Machine Learning for Science! 1/2
- I was flagged as "irresponsible" reviewer at NeurIPS for a paper providing no algorithm, no theory, no data, no analysis... it is simply an opinionated, colloquial review. I said as much. Instead of looking at it, the AC forced me to add to my review, threatening to reject papers of my co-authors.
- Reposted by Philipp Berens🧠🤖 We’re hiring a Postdoc in NeuroAI! Join CRC1233 "Robust Vision" (Uni Tübingen) to build benchmarks & evaluation methods for vision models, bridging brain & AI. Work with top faculty & shape vision research. Apply: tinyurl.com/3jtb4an6 #NeuroAI #Jobs
- Reposted by Philipp BerensOn our blog: Science is moving fast. How do we keep up? #ScholarInbox, developed by the Autonomous Vision Group led by @andreasgeiger.bsky.social, helps researchers stay ahead - by making the discovery of #openaccess papers smarter and more personal: www.machinelearningforscience.de/en/scholar-i...
- @ml4science.bsky.social is currently 17th in the 100k relay race of @unituebingen.bsky.social! 14 laps to go! #ai4science
- The colleagues from the new excellence cluster TERRA @unituebingen.bsky.social arriving after 100k on the 9th place!
- Stunning 18th place in finish! @ml4science.bsky.social
- Reposted by Philipp Berens🎤 An Impression from last nights #ScienceSlam, organized by the #Tübingen AI PhD and Postdoc Assembly (TAPPA) @Kupferbau @unituebingen.bsky.social The audience got a glimpse into AI-related research ranging from self-driving cars to deep learning, computational neuroscience, and probability theory.
- Reposted by Philipp BerensDon't miss the #scienceslam of our PhDs and postdocs happening in #Tübingen tomorrow, Thursday, June 5, at 7 pm! And bring your friends who do not work on #AI themselves - the talks will be understandable for everyone.
- Reposted by Philipp BerensWe have several open, fully-funded PhD and Postdoc positions at my group, now at the University of Tübingen. Please #RT and share with potential candidates! Generally: AI for scientific discoveries in physics 🔥. mariokrenn.wordpress.com/wp-content/u...
- When I went to the US in 1998 as a high school student, the "land of the free" offered remarkable new perspectives on my home country Germany. As a liberal-left German, the flags, the pledge of allegiance and patriotism were strange, yet also fascinating in a weird way.
- Now, the US government is halting student visa scheduling, increases social media surveillance, and patriotism has turned into cheap, blatent nationalism and facism following a great leader or manipulating him for ones own gain.
- For students in my kids' generation, I don't see how going on an exchange to the US holds much appeal. We need to be vigilant to similar tendencies in Germany and Europe, and stop the far-right from gaining further ground.
- There should be a categorical imperative for bikes: Treat your bike like you would want to be treated by it
- Reposted by Philipp BerensWe're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy
- We are incredible happy to be able to continue our work of developing new #AI4science across a wide range of disciplines with incredible colleagues in #physics, #neuroscience, #cogsci, #geoscience, #linguistics, #economics, #medicine, #philosophy, #law and #anthropology! @unituebingen.bsky.social
- We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy
- We all need to watch carefully what is happening in the US and what could happen if our own fascists come into power (again)
- And make no mistake about it... Attacking higher education like this, particularly a private institution to try and force them to bend a knee to your will is verrrrry fascist. en.wikipedia.org/wiki/Fascism
- This is where @hertie-ai.bsky.social will be located in three years or so!
- And another one: We show how to use a diffusion model for #fundus images for #counterfactual reasoning in #ophthalmology! If you ever wondered how the fundus images of your patient had looked, if he had been suffering from diabetic retinopathy, check this out ⬇️ journals.plos.org/digitalhealt...
- In our model, we use the gradients of a robust disease classifier and regularization towards the original image to guide the diffusion process
- This allows to generate high quality counterfactual images for individual patients, e.g. answering the question how an image had looked if the patient had been healthy or if she had been sick. The induced lesions look highly realistic, and the vessel structure is kept intact.
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View full threadPS. @plos.org #DigitalHealth is a great journal for this kind of work run by a community of dedicated domain experts with diverse backgrounds!
- We had a paper accepted today! In the first round, Rx provided a long, forceful rant why our paper wasn't a big advance, how the figures are poorly done and so on. We pushed back politely and answered the points we thought were reasonable. Today, Rx: "Sorry for my rant, the paper is good." Cudos!
- Thanks Christian!
- Putting this on top of my reading list: Task-specific regional circuit adaptations in distinct mouse retinal ganglion cells | Science Advances www.science.org/doi/10.1126/...
- We are excited that our work on inherently interpretable #deeplearning models for #AI for #medicine has been published in @plos.org #digitalhealth! You want to know how to combine the power of deep learning with accessible interpretation? This is for you! ⬇️ journals.plos.org/digitalhealt...
- BagNets are modified ResNets with local receptive fields and an explicit class evidence maps at the end. We discussed there use for interpretable #medical #AI here: proceedings.mlr.press/v227/donteu2...
- The explicit class evidence maps allows to penalize activations, e.g. via a sparseness penalty. This is extremely effective for diseases like #diabetic #retinopathy where lesions are small in initial disease stages: extracted high evidence regions almost always contain lesions.
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View full threadThus this work shows how #inherently #interpretable models in #AI for #medicine can improve clinical decision making in #ophthalmology! Thanks to everyone involved, especially Kerol Djoumessi (hertie.ai/data-science...) and @lisakoch.bsky.social!
- Reposted by Philipp Berens“And so the Greeks send me this horse, we’re talking about one of the most beautiful horses you’ve ever seen. So big. So strong. Normally they keep this kind of horse for themselves but they were such big fans they said sir, please take our big wonderful horse we’ll even bring it to your house”
- Sigh...
