Max Horn

Causal Representation Learning, Deep Learning infrastructure and Machine Learning for Health. Previously @AmazonScience AI, now @GSK AI/ML.

[Max Horn @ExpectationMax]

@Pseudomanifold @ERC_Research Congrats Bastian! Well deserved! 🎉🎉🎉

[Max Horn @ExpectationMax]

Congrats Bastian! Great to have you back in Switzerland🇨🇭 :)

[Bastian Grossenbacher-Rieck @Pseudomanifold]

Friends, I am beyond happy! I'm starting a new position as Full Professor of #MachineLearning at the University of Fribourg @unifr 🇨🇭! With #SwissAI and many other initiatives, I am taking my research at the intersection of #geometry, #topology, and #MachineLearning to a new level 🚀. This #SwissNationalDay will thus hold an even more special meaning for me—thanks for this wonderful chance, my dear confederates!

The past few years have been a veritable roller coaster 🎢, with ups and downs. Through it all, I was sustained and supported by my family, for which I am eternally grateful.

As much as we like to believe it in academia, 'no man is an island,' and I have tons of people to thank, foremost among them my postdoctoral adviser @kmborgwardt, as well as my long-term collaborators @KrishnaswamyLab and @mrguywolf. I am also indebted to my great research group at the AIDOS Lab. Working with all of you is a pleasure! 🙏

Finally, I am grateful for the advice of my mentors and role models @stefanabauer, @mmbronstein, and @guennemann (plus many others—you know who you are).

It's time to give back now and make academia better!

PS: 🔥I'm hiring soon! 🔥Please share widely and direct any inquiries to my e-mail or DM.

[Max Horn @ExpectationMax]

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 🙂

[Max Horn @ExpectationMax]

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!

[Michael Moor @Michael_D_Moor]

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
https://t.co/epsllFc2XN

[Max Seitzer @maxseitzer]

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!

https://t.co/P1TNTOzrqI

[Max Horn @ExpectationMax]

Cool to see some follow up on this line of research. Great work Bastian!

[Bastian Grossenbacher-Rieck @Pseudomanifold]

🔖New preprint: https://t.co/dt56Lxmrrm

Answering some (not all!) questions about the expressivity of #topology in the context of #MachineLearning for graphs.

TL;DR: persistent homology is awesome and can 'simulate' a corresponding WL test (even for higher orders). 🤯

🧵1/6

[Max Seitzer @maxseitzer]

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!

[Max Horn @ExpectationMax]

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 !

[Bastian Grossenbacher-Rieck @Pseudomanifold]

Excited to see that my discussion of @nealstephenson's oeuvre stimulated such an engaging exchange of ideas! 🤯

[Florian Wenzel @flwenz]

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. https://t.co/WG2jd7XoDB

[Bastian Grossenbacher-Rieck @Pseudomanifold]

📣 At #ICLR2022 (Poster F2) in ~45 minutes

𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗠𝗲𝘁𝗿𝗶𝗰𝘀 𝗳𝗼𝗿 𝗚𝗿𝗮𝗽𝗵 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝘀: 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀, 𝗣𝗶𝘁𝗳𝗮𝗹𝗹𝘀, 𝗮𝗻𝗱 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀

@leslieobray @ExpectationMax @kmborgwardt

#MachineLearning

[Bastian Grossenbacher-Rieck @Pseudomanifold]

Looking forward to presenting our work on 𝗧𝗼𝗽𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗚𝗿𝗮𝗽𝗵 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 in the upcoming #ICLR2022 poster session from 11:30am CEST.

Join us on https://t.co/Ib9uvvyyK3 if you're into #topology and #MachineLearning.

https://t.co/tpl43yr5re

[Leslie O'Bray @leslieobray]

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.

https://t.co/0YsSUHQZ90

@Pseudomanifold @ExpectationMax @kmborgwardt

[Inspired by Iceland @iceland]

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

[Max Horn @ExpectationMax]

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!

[Bastian Grossenbacher-Rieck @Pseudomanifold]

📣 A new adventure beckons: I'll join @Helmholtz_AI as a PI at the AIH (@PioneerCampus, @HelmholtzMunich) in October! 🎉

🎓 Looking for students/postdocs (#machinelearning, #topology, #maths, ...) soon! (DM me) 🎓

#AcademicTwitter
@fabian_theis @FeestChristoph @tschwarzromond

[Max Horn @ExpectationMax]

Doing god's work 💪

[@[email protected] @theCake]

[1/8] Excited to share our preprint on #calibr8, a Python package for calibration modeling: https://t.co/8IVHMfiT40
It is a bottom-up story about data-generating processes: Where do measurements come from? What role do calibration models have for quantitative data analyses?

[Bastian Grossenbacher-Rieck @Pseudomanifold]

A timely work with @leslieobray, @ExpectationMax, and @kmborgwardt. Hope this will inspire a nice discussion in the community!

[Max Horn @ExpectationMax]

Einsum is coming to R! Thanks to @const_ae for the great community contribution!

[Constantin Ahlmann-Eltze (@const-ae.bsky.social) @const_ae]

{{einsum}} - my new R package just published on CRAN to express complex array multiplications using the concise Einstein summation notation 🎉🥳

https://t.co/wdrkB5zLuR

[Max Horn @ExpectationMax]

@Pseudomanifold @chrs_bock Admins imperius curse ;) good that one doesn’t get locked up for using it though 😉

[Max Horn @ExpectationMax]

@chrs_bock @Pseudomanifold Haha 😂 nice one