Max Horn @ExpectationMax
Causal Representation Learning, Deep Learning infrastructure and Machine Learning for Health. Previously @AmazonScience AI, now @GSK AI/ML. expectationmax.github.io Zurich, Switzerland Joined January 2010-
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Congrats Bastian! Great to have you back in Switzerland🇨🇭 :)
Congrats Bastian! Great to have you back in Switzerland🇨🇭 :)
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Looking forward to being at #ICML2024 starting from tomorrow. Feel free to write a PM in case you want to grab a coffee and chat 🙂
Check out this cool work done by @MaxFBurg during his time at Amazon. Was a pleasure having you Max and it’s great to see the work in print!
Max Horn retweeted
Thrilled to see our multi-centre #sepsis prediction study finally published! Thanks to Nicolas Bennett, Drago Plečko, @ExpectationMax @Pseudomanifold, Nicolai Meinshausen, Peter Bühlmann, and @kmborgwardt! @ETH_en @ETH_BSSE @eth_math @PHRT_CH thelancet.com/journals/eclin…
Max Horn retweeted
Btw, we just released OCLF, a flexible codebase for object-centric learning research, containing the code for DINOSAUR and much more. Thanks to @ExpectationMax for the huge amount of work on this! github.com/amazon-science…
Cool to see some follow up on this line of research. Great work Bastian!
Cool to see some follow up on this line of research. Great work Bastian!
Max Horn retweeted
A bit late, but still: I'm super happy that my paper on scaling unsupervised object-centric representation learning to the real-world got accepted to #ICLR2023. Our method, DINOSAUR, takes a big step towards open, complex image datasets like PASCAL and COCO!
Excellent summary of Neil Stephenson’s books. A great resource for anybody into sci-fi and looking for some new material. Thank you for compiling this @Pseudomanifold !
Excellent summary of Neil Stephenson’s books. A great resource for anybody into sci-fi and looking for some new material. Thank you for compiling this @Pseudomanifold !
Max Horn retweeted
In our new paper we conduct a large scale study on out-of-distribution robustness. We evaluate insights around robustness, domain generalization, architecture biases, uncertainty quantification and adversarial examples in a unified setting. arxiv.org/abs/2207.09239
Max Horn retweeted
📣 At #ICLR2022 (Poster F2) in ~45 minutes 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗠𝗲𝘁𝗿𝗶𝗰𝘀 𝗳𝗼𝗿 𝗚𝗿𝗮𝗽𝗵 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝘀: 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀, 𝗣𝗶𝘁𝗳𝗮𝗹𝗹𝘀, 𝗮𝗻𝗱 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 @leslieobray @ExpectationMax @kmborgwardt #MachineLearning
Max Horn retweeted
Looking forward to presenting our work on 𝗧𝗼𝗽𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗚𝗿𝗮𝗽𝗵 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 in the upcoming #ICLR2022 poster session from 11:30am CEST. Join us on Gather.Town if you're into #topology and #MachineLearning. openreview.net/forum?id=oxxUM…
Max Horn retweeted
Looking forward to presenting our #ICLR2022 spotlight paper Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions at the poster session on Thursday at 11:30 CEST. arxiv.org/abs/2106.01098 @Pseudomanifold @ExpectationMax @kmborgwardt
Max Horn retweeted
Some said an open-world experience this immersive wasn’t possible. But it’s already here. And you don’t even need silly VR headsets. Introducing, ✨Icelandverse✨ #icelandverse
Congrats to Bastian and all the best for his new adventures! Working with Bastian is and was an amazing experience🤩 To anybody looking for a position: Don't miss this unique opportunity!
Congrats to Bastian and all the best for his new adventures! Working with Bastian is and was an amazing experience🤩 To anybody looking for a position: Don't miss this unique opportunity!
Doing god's work 💪
Doing god's work 💪
Max Horn retweeted
A timely work with @leslieobray, @ExpectationMax, and @kmborgwardt. Hope this will inspire a nice discussion in the community!
A timely work with @leslieobray, @ExpectationMax, and @kmborgwardt. Hope this will inspire a nice discussion in the community!
Max Horn retweeted
Send us your abstracts for the #ICLR2021 Workshop on 𝔾𝕖𝕠𝕞𝕖𝕥𝕣𝕚𝕔𝕒𝕝 𝕒𝕟𝕕 𝕋𝕠𝕡𝕠𝕝𝕠𝕘𝕚𝕔𝕒𝕝 ℝ𝕖𝕡𝕣𝕖𝕤𝕖𝕟𝕥𝕒𝕥𝕚𝕠𝕟 𝕃𝕖𝕒𝕣𝕟𝕚𝕟𝕘 until 𝗠𝗮𝗿 𝟬𝟳 𝗔𝗼𝗘! #MachineLearning #geometry #topology #RepresentationLearning openreview.net/group?id=ICLR.…
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