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Matthias Kümmerer proslijedio/la je Tweet
I am hiring a graduate student to join our group at the
@DondersInst (full position, 4 years funding)! Please apply if you are interested in working on machine/deep learning and visual cognitive neuroscience. Details here: https://www.ru.nl/werken-bij/vacature/details-vacature/?recid=1072356 … Please share/RT far and wide!Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Matthias Kümmerer proslijedio/la je Tweet
My 1st preprint! Can we measure semantic information in images? What’s its role in eye-movements control? Can meaning maps or
#NeuralNetworks help? https://www.biorxiv.org/content/10.1101/840256v1 … With M. Kümmerer@matthiaskue, T. Wallis@tsawallis, M. Bethge@MatthiasBethge & Ch. Teufel. A thread [1/5]Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Matthias Kümmerer proslijedio/la je Tweet
VCD-Projekt "Wohnen leitet Mobilität": Quartiersgaragen statt Tiefgaragen machen Bauen und Wohnen billiger und können so bezahlbare Mieten sichern helfen.
#Mobilität#Auto#VCDeVhttps://www.klimareporter.de/verkehr/das-ende-der-tiefgarage …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Matthias Kümmerer proslijedio/la je Tweet
Trying depth-mapping on abstract art. I don't know what you would call 'working properly' here, it's just fascinating to see a neural network try to interpret a Jackson Pollock painting as a 3D landscape. (Convergence, 1952)pic.twitter.com/RaII2RHatA
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Looking forward to presenting my poster on "DeepGaze III: Using Deep Learning to Probe Interactions Between Scene Content and Scanpath History in Fixation Selection" today here at a fascinating
#ccn19 (PS-1B.5)Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Matthias Kümmerer proslijedio/la je Tweet
Our manuscript on learning divisive normalization (DN) in V1 is out! Our interpretable, image-computable DN model learned orientation-specific normalization from natural stimuli and its accuracy came close to state-of-the-art deep neural networks. http://doi.org/10.1101/767285 pic.twitter.com/JtxRuK9zy1
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Matthias Kümmerer proslijedio/la je Tweet
Want to learn about applying deep learning in a spectrum of comp. neuroscience questions? Join our speakers (
@kateiyas,@TimKietzmann,@eywalker,@Marie_E_Bellet,@matthiaskue, T. Naselaris, J. Antolik) and us in our workshop (https://tinyurl.com/y4ah35xu ) at#BernsteinConference.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
My
@bethgelab colleague @MaxGuenthner talking about modelling V1 with divisive normalization at#ccn19pic.twitter.com/zRYx0gvXx0
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Matthias Kümmerer proslijedio/la je Tweet
Can your object detector handle noise? What will your autonomous vehicle do when it's foggy? And more importantly: Is your D(rago)NN ready for Snow when Winter is Coming? Find out with our robust detection benchmark (Pascal, Coco & Cityscapes): https://arxiv.org/abs/1907.07484 pic.twitter.com/WaNcIcVV5p
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Matthias Kümmerer proslijedio/la je Tweet
'Pair Programming' with GPT-2 trained on 2 million GitHub files. Straightforward near-term practical use of deep learning. I wish they had better examples - for example, I bet if you name a variable Gryffindor it will suggest Hufflepuff for the next one! https://tabnine.com/blog/deep pic.twitter.com/pyrVNCP4An
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Matthias Kümmerer proslijedio/la je Tweet
Not how it works, I'm afraid.pic.twitter.com/5bvtf9L9xj
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Matthias Kümmerer proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Matthias Kümmerer proslijedio/la je Tweet
Help me out twitterverse, which team chat/lab organisational tool do you use/recommend and why? Slack? Basecamp? Mattermost? Telegram? (please RT for visibility)
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Matthias Kümmerer proslijedio/la je Tweet
Enjoying a ‘last dinner’ at this year’s
@GRC_EyeMovement with a brilliant group of people, including@speringlab,@KreyPhil,@ookenfooken, Brian Cornell, Doris Braun, Karl Gegenfurtner, and Janis Kan. What a wonderful conference! Very much looking forward to the next one!!
pic.twitter.com/zOrf67yT6w
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It's great to be here at
@GRC_EyeMovement. Awesome talks on very diverse topics, great discussions and a very welcoming communityhttps://twitter.com/jeff_schall/status/1149030419452637185 …
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Matthias Kümmerer proslijedio/la je Tweet
We are delighted to announce that
@BoschPresse is expanding its involvement in#CyberValley! A new Bosch#AI campus is planned for#Tübingen, right next to the research facilities of the@MPI_IS and@uni_tue. Bosch will invest around 35 million € and create jobs for 700 expertspic.twitter.com/driRF7OKzY
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Matthias Kümmerer proslijedio/la je Tweet
We developed gradient-based versions (L0, L1, L2 & Linf) of our Boundary adversarial attack that (1) resist gradient-masking, (2) perform better & are more query-efficient than SOTA (e.g. PGD or C&W) and (3) require virtually no hyperparameter tuning: https://arxiv.org/abs/1907.01003
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Matthias Kümmerer proslijedio/la je Tweet
Article discussing our recent work investigating the properties of current state-of-the-art algorithms. Hope to see more in this line of research!https://www.quantamagazine.org/where-we-see-shapes-ai-sees-textures-20190701/ …
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Matthias Kümmerer proslijedio/la je Tweet
This image contains 16 circles. They are in plain sight. But most likely your brain will interpret this picture in a way which makes them invisible.pic.twitter.com/ekYnhaW51l
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Matthias Kümmerer proslijedio/la je Tweet
My lab is looking for postdocs! Experience in machine learning or 2P imaging is preferred! Please RT, and get in touch: mackenzie@post.harvard.edu http://www.mousemotorlab.org pic.twitter.com/LZLrdNCZFW
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