Bastian Grossenbacher-Rieck
@Pseudomanifold
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Dad · Geometry + Topology + ML · Professor @UniFR · PI @HelmholtzMunich · Prev @ETH_en Feedback? https://t.co/RO3tHLBDx1
Bern, Switzerland
Joined February 2015
Seems like the link expired, so I generated a new one: This might be of interest to people at #AMLD2020 as well. Any interested in #TDA and #MachineLearning is very much welcome to join!.
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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.
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🎉Wow!🎉 Our paper 'Topological Singularity Detection At Multiple Scales' was accepted at #ICML2023. 👉We question the manifold hypothesis & develop a method to detect singularities, i.e. points that violate this 'manifoldness' assumption. #topology #MachineLearning . 🧵1/n
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🎉Our data drama is out!. For anyone doing #MachineLearning for graphs, this should provide some novel insights into modelling!. Raw data stem from all of Shakespeare's plays /.We model them as graphs in many ways /.And demonstrate representations matter.
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Personal update: my LIFE💍proposal was accepted! The reviewer liked the creativity of the project and is looking forward to a shared future 😊. #AcademicChatter.
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New paper is out! "All You Need is All You Need." We are raising the SOTA in paper titles by 15.3%, showcasing the power of memes in ML. #MachineLearning #AcademicTwitter . @ykilcher.
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📣New #ICLR2022 paper (**no** April Fool's joke): . 𝘛𝘰𝘱𝘰𝘭𝘰𝘨𝘪𝘤𝘢𝘭 𝘎𝘳𝘢𝘱𝘩 𝘕𝘦𝘶𝘳𝘢𝘭 𝘕𝘦𝘵𝘸𝘰𝘳𝘬𝘴. TL;DR: TOGL, a layer that makes GNNs topology-aware. Topology + GNNs = ♥️. It's 🧵 time, let's dig in!. #topology #MachineLearning. 1/n.
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Friends, as the saying approximately goes: "Fortune favours the bald" 👴. 👉 My proposal "HOLES: Higher-Order Learning of Essential Structures with Geometry and Topology" was successfully funded with a 1.5M € @ERC_Research Starting Grant! 👈. 🤯🤯🤯. This will allow me to pursue
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It's official—there'll be a workshop on Geometrical and Topological Representation Learning @iclr_conf. Stay tuned for more information!. #Geometry #Topology #MachineLearning #RepresentationLearning
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Who said #topology has no uses in real life? I successfully increased the number of connected components of our relationship by one!. 2022: 👩⚕️, 👨💻.2023: 👩⚕️, 👨💻, 👶. Truly a 'birth' event; now the persistence starts! 🥳.
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So grateful that all my accepted #NeurIPS2021 submissions received Turing Awards and Fields Medals. 🙏. (jk, 0/3 got in; join the rejected side, we've got cookies).
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📣 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
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@teej_m Business idea: food and drinks paired with tech books. "Yes, this Chianti would pair well with The Elements of Statistical Learning. We also suggest a fulsome, nourishing broth to go with it.". (Obligatory joke on 'unpopular programming language' being paired w/ pineapple pizza).
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🎉 Wrapping up 2023 with. 1. a 'Deep Learning Grand Slam'. - ICLR: Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (. We (@CorinnaCoupette, S. Dalleiger, YT) define notions of hypergraph #curvature & show their applications. 🧵1/n
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🎉 Stoked that @ErnstRoell's first Ph.D. work "Differentiable Euler Characteristic Transforms for Shape Classification" was accepted @iclr_conf #ICLR2024. 👉A new, super fast topological layer (based on Euler Characteristic Transform). #geometry #topology #MachineLearning . 🧵1/n
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🎉@iclr_conf: Simplicial Representation Learning w/ Neural k-Forms. #Geometry #MachineLearning #ICLR2024. 📜 TL;DR: Learnable differential forms = ꜰᴇᴀᴛᴜʀᴇ ᴍᴀᴘꜱ for combinatorial complexes (like graphs), enabling classification + more!. 🧵1/n
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Looking forward to presenting our work on 𝗧𝗼𝗽𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗚𝗿𝗮𝗽𝗵 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 in the upcoming #ICLR2022 poster session from 11:30am CEST. Join us on if you're into #topology and #MachineLearning.
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If you are interested in #topology, #TDA, or #MachineLearning, check out my upcoming #tutorial on 'Topological Data Analysis for Machine Learning' at #ecmlpkdd2020. Looking forward to an exciting #virtualconference!. #AcademicTwitter @ECMLPKDD.
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New preprint by @ErnstRoell:. 𝘿𝙞𝙛𝙛𝙚𝙧𝙚𝙣𝙩𝙞𝙖𝙗𝙡𝙚 𝙀𝙪𝙡𝙚𝙧 𝘾𝙝𝙖𝙧𝙖𝙘𝙩𝙚𝙧𝙞𝙨𝙩𝙞𝙘 𝙏𝙧𝙖𝙣𝙨𝙛𝙤𝙧𝙢𝙨 𝙛𝙤𝙧 𝙎𝙝𝙖𝙥𝙚 𝘾𝙡𝙖𝙨𝙨𝙞𝙛𝙞𝙘𝙖𝙩𝙞𝙤𝙣. (. TL;DR: We develop a novel layer for combining #topology and #MachineLearning. 🧵1/n
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🔖New preprint: 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.
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📺New video on 'Geometry & Topology in Machine Learning'. (virtual talk @UniBarcelona; thanks to @carlescasac and @rballeba for having me 🙏). #Geometry #MachineLearning #Topology.
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🤯Floored by receiving more than 250 submissions for the "Learning on Graphs" Conference! @LogConference . 🖼️Look at this exciting word cloud of all paper titles. can you spot *your* favourite topic in there?
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📢 Searching for Ph.D. candidates interested in #geometry, #topology, #healthcare, and #machineleaning. Join us in beautiful #Munich as part of a vibrant research community (@HelmholtzMunich + @PioneerCampus + @helmholtz_ai & more). Please share widely!.
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Coming up soon at #NeurIPS2024, combining #geometry and #topology:. “Metric Space Magnitude for Evaluating the Diversity of Latent Representations”. ❓ Ever wondered how to best assess the diversity of model outputs or how to choose between models?. 👉We address these questions
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📣 As part of the Oxford ML Summer School Unconference, I'll be talking about #Graphs, #MachineLearning, and #Topology at 08:00 pm CEST. 👉DM me for a Zoom link, or watch the video afterwards on my YouTube channel!.
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I am honoured to become a co-director of the Applied Algebraic Topology Research Network. A dream has come true for me—after many years of following their outstanding content, I can give back and support the community😊. #topology.
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❓How expressive is persistent homology (PH)?.❓Can such #topology-based learning methods be as effective as message-passing neural networks in graph #MachineLearning tasks? . ➡️We (@rballeba, YT) explore this question in our updated preprint. 🧵1/n.
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👨🏫 I gave a lecture on topological machine learning for an online course of the Spanish Topology Network. Thanks to @carlescasac and @rballeba for the invitation! . #Topology #MachineLearning.
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#Geometry + #Topology = ❤️ in our work on neural k-forms. Check out the poster in "Halle B #82," starting at 1045am CEST. Fantastic work by @kellymaggs7, @CeliaHacker_, and YT. #ICLR2024 #MachineLearning
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I wrote a round-up of #topology-based papers at #ICML2020. If you are interested in a different perspective on #MachineLearning, read on!. #AcademicTwitter #AcademicBlogging.
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Geometrical & Topological Representation Learning Workshop @iclr_conf now accepting submissions until 26 Feb AoE. #MachineLearning #geometry #topology #RepresentationLearning. Organizers: Xiuyuan Cheng @KrishnaswamyLab @jure @SoledadVillar5 @mrguywolf.
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🔥 This just out: I gave a lecture 👨🏫 on topology-based graph machine learning for an online course of the Spanish Topology Network. Thanks to @carlescasac, @rballeba, & many others for the invitation and organisation! 🙌. #Topology #MachineLearning.
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Shout-out to authors who 'Thank the anonymous reviewers for their useful comments'. It's a nice gesture and it always makes me happy to know that I contributed a little bit. #AcademicTwitter #AcademicChatter.
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Very honoured to give a talk at @Mila_Quebec today about our (@JoshSouthern13, @jeremy_wayland, @mmbronstein, @CorinnaCoupette) recent work on curvature in graph #MachineLearning! Thanks for the invitation, @mrguywolf & Frederik; I had an inspiring time!
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Interested in #curvature on #graphs?. 🚀 Check out our (@JoshSouthern13, @jeremy_wayland, @mmbronstein) #NeurIPS2023 paper ‘Curvature Filtrations for Graph Generative Model Evaluation’. 📜: 💻: #topology #geometry. 🧵1/n
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🔥 Starting Today: The 2nd 'Learning on Graphs Conference' (LoG). 🤯 Free to attend, with a star-studded cast of keynote speakers, LoG is all about high-quality research & high-quality reviews. ➡️ 🧵1/2
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It needed #persistence, but Topological Data Analysis is finally coming to #NeurIPS2020!. Our (@AGKBorgwardt, @KrishnaswamyLab, @mrguywolf, @nrkarthikeyan, & more) workshop's call for papers is live (deadline: Fri, 2 Oct 2020, 23:59 AoE). More details:.
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My first week as a PI is about to end on a high note: I am excited 🕺and grateful 🙏to be nominated for an @ELLISforEurope membership 🎉. (indebted to @mmbronstein, @jeanphi_vert, and @ELLISmunichunit for their support in this process!).
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🚨Job alert🚨 (please R/T). Recruiting a new Ph.D. student w/ a computational biology background (loosely interpreted) for a project at the intersection of #MachineLearning & novel gene therapies. DM for details or send your CV to bastian.rieck@helmholtz-munich.de. #NeurIPS2023.
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🙏 Another first: together with Barbara Giunti and @jlazovskis, our article on "DONUT: Database of Original & Non-Theoretical Uses of Topology" appeared in the AMS Notices @amermathsoc. 📜: 🍩: #topology
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Total cost of that stack: approximately 50K USD. 😅.
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My first postdoc received a job offer. Today was a good day. #AcademicTwitter @hapyresearchers @AcademicChatter @AcademicsSay
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Once again on my way to beautiful Vienna for #ICML2024. Happy to chat about #geometry, #topology, and #MachineLearning! Let's have a coffee (☕), a coffee cup (🍩), and see where that takes us. Also looking forward to presenting some cool work, stay tuned 🙂.
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New blog post: A Short Roundup of Topology-Based Papers at #ICLR2021. In which I describe three papers that caught my attention because of their intriguing combination of #topology and #MachineLearning at #ICLR2021 @iclr_conf.
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CfP for our* @iclr_conf workshop on Geometrical & Topological Representation Learning (GT-RL) is out. Submit your work on #geometry, #topology, and #MachineLearning until Feb 25 AoE. 👉 👈
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I feel seen.
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🍩 Interested in applications of Topological Data Analysis? Thanks to Barbara Giunti & @jlazovskis, we have an ever-expanding database: DONUT!. In this preprint, we describe the creation of DONUT and some technical considerations. Feedback welcome!.
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How #NeurIPS2020 looks behind the scenes for most of us. You win one 😊, you lose some 😢. Getting rejected is losing, but not failing—it happens to everyone! Take some time off, then revise, resubmit, and (eventually) rejoice! 🎯 #AcademicTwitter #YouCanDoIt
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Oxford showed a truly magical side! Visiting the @OxUniMaths and @CompSciOxford departments was awe-inspiring & I was honoured to share our* recent research. * @JoshSouthern13 @jeremy_wayland @CorinnaCoupette @mmbronstein. Thanks @sherylhyx & @mmbronstein for having me! 🙏🙏🙏
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🍩 Excited to announce the launch of. 𝐃𝐎𝐍𝐔𝐓: 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐨𝐟 𝐎𝐫𝐢𝐠𝐢𝐧𝐚𝐥 & 𝐍𝐨𝐧-𝐓𝐡𝐞𝐨𝐫𝐞𝐭𝐢𝐜𝐚𝐥 𝐔𝐬𝐞𝐬 𝐨𝐟 𝐓𝐨𝐩𝐨𝐥𝐨𝐠𝐲. Over 400 articles on #Topology for #MachineLearning already indexed. 💙Feedback very welcome!💙.
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🔥Blazingly fast🔥shape classification using #geometry, #topology and #MachineLearning: Differentiable Euler Characteristic Transforms. 👉Today in "Halle B #94",4:30pm CEST #ICLR2024👈.👏Outstanding work by @ErnstRoell! . 📜
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Wonderful weekend read about #topology and #MachineLearning: "An Applied Mathematician With an Unexpected Toolbox" via @QuantaMagazine.
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📺New video: Curvature for Graph Learning📺. Presenting, among other things, current work with (i) @JoshSouthern13, @jeremy_wayland, @mmbronstein and (ii) @CorinnaCoupette and Sebastian Dalleiger. Very excited about this research direction!.
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Interested in recent trends in #MachineLearning/#AI + #topology? Check out our review on ➡️ Topological Machine Learning ⬅️!. We distinguish between extrinsic/intrinsic features and their observational/interventional usage. 🧵: 1/4.
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New post: ‘What Is a Manifold?’, Redux: Some Non-Examples. In which we see (a) some spaces that are not manifolds and (b) discuss what happens if the manifold hypothesis is violated. (Inspired by @Yale SUMRY!). #Topology #Geometry #MachineLearning.
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Amazing to see the progress in #topology, #geometry, and #MachineLearning. Thanks for providing me the opportunity to contribute a little to this awesome endeavour, @mmbronstein🙏!.
In a new post with @crisbodnar @ffabffrasca (with contribution from @Pseudomanifold) we discuss topological message passing and how "exotic" topological spaces can serve as a new computational fabric for GNNs.
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Revisions are done, posters are ready!. The #NeurIPS2020 Workshop on Topological Data Analysis & Beyond is happy to present its accepted submissions @ Congrats to all authors and big kudos to the reviewers!. #Topology + #MachineLearning = 🔴 = ❤️.
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📘 Out now: Evaluating the "Learning on Graphs" Conference Experience. 👉 Read why the 1st @LogConference was hailed by many as their "best conference/review experience.". 🥳 @CorinnaCoupette + I discuss the survey & actionable items. #MachineLearning .
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👉Interested in AI applied to Health?👈. Join our hybrid International Symposium on AI for Health next Monday, Jan 16 @HelmholtzMunich. Looking forward to an awesome scientific programme with keynotes by @MihaelaVDS, @TrackingActions, & @marinkazitnik.
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New blog post: ᴅᴏɪɴɢ ᴍʟ ʀᴇꜱᴇᴀʀᴄʜ: ɢᴀᴛᴇꜱ ᴏᴘᴇɴ, ᴄᴏᴍᴇ ᴏɴ ɪɴ!. Intended as an invitation to #MachineLearning, in particular for researchers coming from #mathematics. (Prompted by recent discussions in a @dagstuhl seminar!).
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My talk "Vertex, Edge, Clique: What's in Graph?" is online now:. 👉 I take a critical look at practices in graph #MachineLearning and introduce MANTRA, our new data set of higher-order triangulations. 📜 Thanks @DegasSeminar!.
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All decisions of our @iclr_conf workshop on #geometry and #topology in #MachineLearning are public now. We received many excellent submissions 🤯, and I read all of them to provide fair decisions based on reviewer feedback. Really looking forward to an exciting workshop! 🤩.
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I wrote a blog post on a round-up of topological data analysis papers on this year's ICML @icmlconf @scikit_tda @viditnanda #ICML2019 #icml #topology
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Happening today: 👉the 2nd ICLR Workshop on Geometrical and Topological Representation Learning. Check out the awesome papers and swing by our poster sessions and panel discussions later. We have a star-studded cast of speakers for you!. #ICLR2022 .
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I won't be at #NeurIPS2023 (👶) but can highly recommend visiting our (@JoshSouthern13 @JeremyWayland @mmbronstein) work!. TL;DR: #Curvature + #Topology = Great for Generative Model Eval!. ➡️Poster #539 @ Session 3 (Dec 13).📜 Some #FOMO starting now!🫠.
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New blog post: Getting started with a Ph.D. In which I describe some things that are useful to know: getting organised, learning how to read, and preparing for the long haul. #Academia #AcademicTwitter #AcademicChatter #phdchat #phdlife.
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This view greets me everyday on my way to work 🤯
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Just in time for #NPAW2021 #NPAW, I wrote a blog post in which I detail my path towards a tenure-track position. #AcademicTwitter #AcademicChatter .
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New survey on the Euler Characteristic Transform by @elizabethmunch just dropped: . 🔥�. Excellent read to learn about this exciting construction. Who thought 'counting stuff' could be used to analyse shapes?. #Topology.
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Like #topology and its applications? Join us next year In Chicago for the Geometric Realization of AATRN, the first in-person conference of the Applied Algebraic Topology Research Network. 📅 August 18–22, 2025.🏠 Talks will be live-streamed + recorded!
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Preprint w/ @JRohrscheidt, my first PhD student 🎈. Couldn't be a prouder PI right now! 🤯 #AcademicTwitter For the curious: we use #topology to question the manifold hypothesis and show how singular spaces occur quite naturally in #MachineLearning. Stay tuned for more!.
TOAST: Topological Algorithm for Singularity Tracking.by Julius von Rohrscheidt and @Pseudomanifold.#Interpolation #MachineLearning.
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Very honoured to serve as a program chair here. This is going to be an exciting conference!.
You can now submit your papers (both full 9-page PMLR proceedings submissions and 4-page extended abstracts) on @openreviewnet!.Read all about the LaTeX template etc. in our call for papers: The abstract deadline is Sep 9th - that is in 31 days!.1/2
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Christmas came early for me—our survey is out in JMLR!. We (@chrsmrrs @lipmanya @HaggaiMaron YT @nmkriege M. Grohe @rusty1s @kmborgwardt) provide an overview of the seminal work of Weisfeiler & Leman and how it impacts graph #MachineLearning.
Want to learn in-depth about the emerging connections between Weisfeiler-Leman and GNNs? Check out our JMLR paper: Joint work with very nice co-authors: @lipmanya, @HaggaiMaron, @Pseudomanifold, @nmkriege, Martin Grohe, @rusty1s, and @kmborgwardt.
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Only in German, but what a nice way to be welcomed by @unifr. Read on if you want to learn about the new @SBFI_CH / @ERC_Research project on #geometry and #topology, which is about to start here.
Learning More From Less; das ist das Ziel von Bastian Grossenbacher-Rieck. Der neue Professor für Machine Learning will künstliche Intelligenz effizienter machen – damit sie weniger Energie frisst und bessere Resultate liefert: #Unifr #AlmaGeorges #KI #AI
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New blog post: How to improve your mathematical writing In which I give some tips for improving your #mathematics. Maybe something interesting for those of us that are @NewInML or preparing their #ICLR2021 revisions. #AcademicBlogging #AcademicTwitter.
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@Chloe_Lieng @OpenAcademics @AcademicChatter My mom, bless her heart, saw a paper of mine and thought that two of my co-authors had died because we used the '†' symbol to indicate shared supervision. (she's still reading all abstracts by the way ❤️; shout-out to awesome supportive parents everywhere!).
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Just in time for Thanksgiving 🥧, decisions for @LogConference are out; @rpascanu and I worked hard to make them available on time. Personally, I am grateful for our many responsive reviewers, ACs, and authors. 🙏 It takes a village. Hope to you see all at LoG!.
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Excited for my talk on 𝗖𝘂𝗿𝘃𝗮𝘁𝘂𝗿𝗲 𝗳𝗼𝗿 𝗚𝗿𝗮𝗽𝗵 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 in the GEOTOP Seminar on Applications of Geometry & Topology today. Join us at 6pm CEST!. (hypergraphs will also make an appearance!). #MachineLearning #Topology #Geometry .
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I have the honour of giving a virtual keynote on 𝐓𝐡𝐞 𝐌𝐞𝐦𝐨𝐫𝐲 𝐨𝐟 𝐏𝐞𝐫𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐞 at the #ICML2022 Workshop on #Topology, Algebra, and #Geometry in #MachineLearning. Still feels like a dream to me!🤯. @TAGinDS.
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Shout-out to the cool people at @Google Scholar for making it possible to add additional names under which you publish! 🙏. Perfect for those whose name changes after marriage or transitioning! 🏳️🌈. #AcademicTwitter #AcademicChatter
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The Weisfeiler-Lehman algorithm is not restricted to graphs, but can be useful for more general constructions.
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Everything you ever wanted to know about graph kernels and more :).
Excited by the current boom in learning on graphs, we have reviewed the foundations and trends in #graphkernel research. We hope that it will be a reference and starting point for lots of future work in this domain! #MachineLearning #DeepLearning #Kernels
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🔥Tomorrow @ 11am EDT / UTC-4: @mmbronstein talks about 𝙋𝙝𝙮𝙨𝙞𝙘𝙨-𝙞𝙣𝙨𝙥𝙞𝙧𝙚𝙙 𝙡𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙤𝙣 𝙜𝙧𝙖𝙥𝙝𝙨 in the AATRN Seminar!🔥. #Topology #Geometry #MachineLearning. Can't wait! 🤩Join AATRN (it's free!) for Zoom info or DM me.
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And we are done! Thanks to all participants, authors, reviewers, moderators, panelists, and organisers who made the GT RL 2022 Workshop a success! 🚀🚀🚀. #ICLR2022.
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I am very relieved to see this out, and in some sense, it is a bittersweet moment. After Frank's untimely passing last year, I wanted to show the world a part of his legacy. Thanks to @rballeba's leadership and a great team (@ErnstRoell, @DanieDusentrieb, @miniapeur,.
(1/7) Topological machine learning is a fascinating field that promises to harness the higher-order interactions encountered in complex systems, enabling new horizons to be explored and older ones to be revisited. However, in order to drive this progress, there is a critical need
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Taking a brief break from #NeurIPS2022 writing? Why not watch the first video released from our #iclr2022 workshop on Geometrical and Topological Representation Learning? Great talk on #scRNAseq embeddings by @hippopedoid, available now on YouTube:.
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