Symmetry and Geometry in Neural Representations
@neur_reps
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NeurIPS workshop and digital community | 🌐 geometry, algebra, topology + 🤖 deep learning + 🧠 neuroscience | Join us on slack! https://t.co/Run9wPnrDB
NeurIPS 2024
Joined July 2022
Ready for #NeurReps2024? . Our schedule at @NeurIPSConf is out 📅. Join us this Saturday! 🧠. With @EeroSimoncelli @talia_konkle @StefanieJegelka @srinituraga Ilker Yildirim and @BasicScienceSav
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Check out ✨awesome-neural-geometry✨ - a curated selection of resources and research for those wishing to dive into this interdisciplinary area. We link our favorite 📚 math books, 📜 blogposts, 👩🏫online lectures, 📄 papers, and 🧠 more.
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📣 Announcing 📣. 💥 The NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations💥. (NeurReps 😉). We're bringing a killer lineup to NeurIPS this year — spanning GDL, applied geometry, and neuroscience. See our call for papers below 👇.
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NeurReps is this Saturday Dec 16 in Ballroom A/B at @NeurIPSConf! . Come out for an exciting program of talks, posters, and discussions at the intersection of deep learning, higher mathematics, and computational neuroscience
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NeurReps is tomorrow!. We start bright and early, with opening remarks at 8:15am. We'll be in rooms 283-285 for talks until 3:30pm, then transition to Ballroom A/B for the poster session. Ballroom A/B is at the end of the hall on the second floor - look for our signs!
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Announcing 📣. 💥 The NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations💥. We’re ramping up for our second NeurIPS workshop this year — spanning GDL, applied geometry, and neuroscience!. See our call for papers below 👇.
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Thank you all for making yesterday's event such a success. We heard incredible talks, participated in stimulating discussions, and saw an abundance of exciting new work
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It's official: NeurReps will be returning to NeurIPS for a second edition this December 🎉. We have some exciting new plans for this year's workshop - stay tuned for the updates 💥.
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Irina Higgins from @DeepMind presenting her excellent work on symmetry-based representations for artificial and biological intelligence
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NeurIPS is here! Come check out the NeurReps Workshop on Sat Dec 3, ft. invited talks by.⭐️ @TacoCohen.⭐️ Irina Higgins @DeepMind.⭐️ Bruno Olshausen @Redwood_Neuro .⭐️ @KrisTorpJensen .⭐️ @erikjbekkers .⭐️ @gkreiman . panels with @yuqirose & @manusmad .👉
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Congratulations to Christopher Versteeg, Andrew Sedler, Jonathan McCart, and Chethan Pandarinath for winning our best paper award in the category of neuroscience and interpretability ! 🏆🧠. This award recognizes their work on dynamic models with nonlinear objective readouts 🤩
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Last year, we started a Slack workspace to build community at the intersection of math, deep learning, + neuroscience. Today we are ~900 members strong 🦾. We have some exciting new plans in the works, including seminars, tutorials, + hackathons. Join us online to take part! 🔗👇.
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NeurReps is starting today Dec 16th at 8.55 am in ballrooms A/B! . Join us for a lively day of talks, panel and posters discussing symmetry and geometry in neural representations 🧠🤖
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The proceedings of the 2022 NeurReps Workshop are now online! . PMLR Volume 197: NeurIPS Workshop on Symmetry and Geometry in Neural Representations features 21 fantastic papers from our contributing authors. View online here: @NeurIPSConf.
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Congratulations to Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, and Emanuele Rodola for winning our best paper award in the category of topology and graphs ! 🍩🏆. This award recognizes their work on spectral maps for learning on subgraphs !
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📄 All papers accepted to NeurReps this year will be eligible for publication in the 2022 Proceedings of Machine Learning (PMLR) Volume on Symmetry and Geometry in Neural Representations ✨.
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NeurReps is fast approaching 🚊✨. We can't wait to see everyone's presentations in NOLA . All accepted papers are now live on OpenReview. Take a look around, and drop by for in-depth discussions on Dec 16th!.
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📄 Submission decisions have been released! . Congrats to all authors for the hard work and exciting research. We look forward to seeing you in New Orleans 🪅🎷🥳.
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Congratulations to Hippolyte Charvin, Nicola Catenacci Volpi, and Daniel Polani for winning our best paper award in the category of algebra & geometry! 🌐🏆. This award recognizes their work on information theory-based discovery of equivariance !
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🏆 Congratulations to Hamza Keurti and coauthors for winning the best abstract award! . Check out the Homomorphism AutoEncoder paper here:
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Update to our Call for Papers: . We have added an additional submission track to the workshop. Authors will have the option to submit to: . 1. Proceedings (up to 9 pages) - published in PMLR.2. Extended Abstracts (up to 4 pages). See here for details: .
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The new @unireps NeurIPS workshop will be of interest to many NeurReps attendees! Discover why, when, and how distinct learning processes yield similar representations 🧠.
We're excited to announce the first edition of 🔵🔴 UniReps: the Workshop on Unifying Representations in Neural Models! 🧠.To be held at @NeurIPSConf 2023!. SUBMISSION DEADLINE: 4 October. Check out our Call for Papers, lineup of speakers and schedule at:
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🏆 Congratulations to Noah Shutty for winning the best paper award for his outstanding work on Lie Algebraic Networks! 🌟. Paper here: @noajshu
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We are beginning to look towards #NeurIPS2023 & we want to incorporate your ideas! . For the 2023 NeurReps Workshop:. 🔣 What topics do you want to see?.👩🏫 Who do you want to hear from?.👥 Have ideas for interactive programming?. Leave comments & submit suggestions below 👇.
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📢 Last call for papers 📢. NEW DEADLINE: Friday Oct 6 23:59 AoE. We are giving authors until the end of the week to submit their work. Get all the info you need to submit here! 👇.
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Oumar Kaba presents his exciting work on equivariance with learned canonical mappings
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We are delighted to welcome Professor Maron for the next contributed talk on data augmentation in deep weight spaces ! 🤖
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Next fascinating talk on how to choose a geometric algebra for equivariant transformers by @pimdehaan ! 🤖. Happening now in ballroom a/b 🎊
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Ila Fiete @FieteGroup is starting our session on latent manifolds and neural computation, with a fascinating talk on pre structured low dimensional manifolds for rapid and efficient learning, memory and inference in the brain. Join us right now in ballroom a/b !
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Last session of the day on natural priors in deep learning !. We are delighted to welcome Sekou-Oumar Kaba to talk about symmetry breaking and equivariant neural networks 🌐🤖
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Exceptional talk by an exceptional speaker starting now in ballroom a/b!. We are honored to welcome Max Welling to talk about Traveling NeurReps in Brains and Machines! 🧠🤖
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Fascinating talk by @HajijMustafa starting now, introducing the growing field of topological deep learning ! 🍩🤖
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⏳ Just 4 more days to the NeurReps deadline: Oct 04 AOE. We welcome submissions that incorporate algebra / geometry / topology into the:.- design of deep learning architectures.- analysis of neural data.- neural network interpretability.- theories of neural computation. more!.
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👩💻 Call for Reviewers 📄. Seeking additional volunteers with expertise in Geometric ML to review for the NeurReps Workshop. The review period is 9/26 - 10/11, and reviewers will be assigned no more than 3 papers/abstracts. Reach out to organizers@neurreps.org if interested!.
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Shout out to the organizers, who put an incredible amount of effort into getting this first-year workshop off the ground:. @naturecomputes .@cashewmake2 .@simoneazeglio .@ari_dibe .@ninamiolane
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Next: Exciting talk by Davis Brown on internal representations of vision models through the lens of frames on data manifolds ! 🌐
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Starting now in ballroom a/b : our panel on the role of world models in intelligence !. Moderated by Sophia Sanborn, with panelists : Alexander Ecker, Mustafa Hajij, Ila Fiete, and Max Welling!
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📢 Deadline extension . The NeurReps submission deadline has been extended to October 4th AOE. If you're working in geometric deep learning, topological data analysis, applied geometry, computational neuroscience, or somewhere in the intersection, send us your work!.
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If you are in the Amsterdam area, be sure to check out the SIAM Computational Sciences and Engineering Minisymposium on Geometry and Shape Analysis for Neuroscience, with an exciting lineup of speakers at the intersection of applied mathematics, machine learning, and neuroscience.
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Look out for @TAGinDS at @CVPR: TAG-PRA! This workshop is fantastic venue for ML research using Topology, Algebra, or Geometry, with a focus on Pattern Recognition Applications. Submission deadline February 28th, AOE 🚀.
We are thrilled to announce that @TAGinDS will have its next workshop at @CVPR! #TAGPRA will center on the use of Topology, Algebra, and Geometry for Pattern Recognition with Applications! Stay tuned and looking forward to your submissions!
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Join our Slack Workspace!. We're building a new community at the intersection of applied geometry, deep learning, and neuroscience -- with channels for discussion, jobs, and events, in addition to the latest on the NeurIPS workshop. Click here to join:.
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The NeurReps poster session is now in Ballroom A/B from 3:30-5:00pm! We have 60+ awesome posters on geometry, deep learning, neuroscience, and everything in between.
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⭐️ The NeurReps Travel Award grants complimentary registration to both the main conference and workshops ⭐️. Junior workshop authors, apply here by December 1st 👇.
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We were too absorbed in their excellent talks to remember to take a photo. We also had a lightning talk from Matthew Farrell on the capacity of group-invariant linear readouts from equivariant representations.
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Next up: Gabriel Kreiman discussing the robustness of representations in artificial and biological networks
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How do we estimate neural dynamics from data?. The contributed talks session has started in ballroom a/b!
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Federico Barbero presents on Sheaf Attention Networks 🌾
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Up next: we are delighted to have a contributed talk about complex networks dynamics of an in vitro neuronal system during rest and game play! 🧠. @NeurIPSConf
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An exceptional speaker kicking off our session on structured visual representations in brain and machines : Doris Tsao presenting « From Local Diffeomorphism Detection to Symbolic Representation ». Join us in ballroom a/b!
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@ninamiolane moderates our panel on geometric and topological principles for machine learning, with Irina Higgins, @TacoCohen, @yuqirose, @erikjbekkers
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⏳Just two weeks to the paper / abstract deadline! We look forward to seeing exciting contributions. Handy links below 👇. Deadline: September 22, 2022 11:59 PM PT. CFP: Template: OpenReview:
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✨ We just hit 300 members! Come join the conversation on the NeurReps Slack workspace 👇.
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Our first contributed spotlight talk: John Vastola on information geometry in population codes @johnjvastola
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Topology, Algebra, and Geometry are coming to ICML Hawaii. Get your submissions in by May 8 AOE. Details below 👇.
⏰ Just two weeks to the deadline for the ICML Workshop on Topology, Algebra, and Geometry in ML! . 🗓️ Deadline: May 8 AOE. 🔗 Click here for submission instructions and more details. 🧑🏫 We look forward to seeing your work!.
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In our second spotlight talk, Noah Shutty presents on Lie Algebraic Networks
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Next, we are thrilled to have a talk by Sho Sonoda on how joint group invariant functions on data-parameter domain induce universal neural networks ! 🌐🤖
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An exciting contributed talk by Irene Cannistraci is happening now in ballroom a/b: . From bricks to bridges: Product of invariances to enhance latent space communication!
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Up next in our session on emerging topics in topology, algebra and geometry for ML:. Join us in ballroom a/b for an excellent contributed talk by Marco Pegoraro on spectral maps for learning on subgraphs 🤖
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In addition, ten of the top-rated submissions were selected for oral presentations (spotlight or lightning talks). Special congratulations to these authors for their exceptional work! 🌟
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We look forward to supporting this virtuous cycle between geometric deep learning and computational neuroscience
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We are delighted to have a fascinating talk by James Mochizuki-Freeman about the geometry of abstract learned knowledge in deep RL agents 🌐🤖!
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We look forward to seeing you all next year. Stay tuned for a few releases:. 🌟Recordings of the event on YouTube.🌟PMLR Volume 197: Symmetry and Geometry in Neural Representations.🌟A possible monthly lecture series?. Join us on Slack to stay connected:
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A map of our whereabouts, for your convenience.
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⏳ 3 days to the submission deadline: September 22nd 11:59 PM Pacific Time. Make sure to get your extended abstracts and papers uploaded to OpenReview and don't hesitate to reach out with any questions at organizers@neurreps.org.
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Last talk of the day, but not least! We are excited to host Hippolyte Charvin for a fascinating talk titled « Towards information theory-based discovery of equivariances » ! 🌐🤖
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Good news for authors: We're extending our submission deadline to the end of the weekend - Sunday September 25th at 11:59pm PT. All submissions may be revised up to the new deadline. Best of luck to everyone!.
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If you have expertise at the intersection of topology, geometry, and/or algebra and computer vision, please consider reviewing for the TAG-PRA workshop at @CVPR! Your contributions will be a big help to the community. 📝👩💻.
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Immense gratitude to our program committee for volunteering their time and brainpower to provide high-quality reviews to the authors. This event would not have been possible without you
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Simone Azeglio concludes the day with closing remarks! . Thanks to the authors, the speakers, the reviewers, and the committee members for your contributions to the workshop. We are starting the poster session now and until 5.30 pm in ballroom a/b, before a social at The Den!
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📄 CFP 📄. We seek papers at the intersection of 🧠 neuroscience, 🤖 geometric deep learning, and 🌐 geometric statistics that incorporate symmetry, geometry, or topology into:. - The design of neural networks.- The analysis of neural data.- Theories of neural computation.
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If you're interested in participating in this community beyond NeurIPS, join our Slack channel and contribute to our Github repository 🚀.
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Up next in our session on structured visual representations in brains and machines, we are honored to welcome Professor Ecker - talking about how rotation-equivariant predictive modeling reveals the functional organization of primary visual cortex ! 🧠👁️
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⏰ The submission deadline is tonight at 11:59pm Pacific Time. Good luck all!.
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@cashewmake2 is kicking off our workshop with opening remarks!. Happening now in ballroom a/b 🎊
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⏰ ⏰ ⏰. Today's the day! The NeurReps deadline is today: October 4 23:59 AoE. We wish you the best of luck in the last stages of submission, and look forward to seeing your work 📄✨.
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Seeking: More reviewers!🌟. The number of submissions we've received has surpassed our expectations. We see many fantastic contributions and are excited to read them all. Thank you to the many volunteers who have already reached out!.
👩💻 Call for Reviewers 📄. Seeking additional volunteers with expertise in Geometric ML to review for the NeurReps Workshop. The review period is 9/26 - 10/11, and reviewers will be assigned no more than 3 papers/abstracts. Reach out to organizers@neurreps.org if interested!.
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Hamza Keurti presents on the Homomorphism AutoEncoder
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Shout out to Kristian Sebek from @SlidesLive for doing an exceptional job with A/V! All of the talks went off without a hitch 🌟.
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This workshop would not have been possible without the help of the 95 dedicated reviewers who together submitted 267 high-quality reviews. Immense thanks to the reviewers for their important and thoughtful feedback on the authors' work.
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Organizers:.@naturecomputes.@cashewmake2.@simoneazeglio.@ari_dibe.@ninamiolane. Follow us for the latest updates!.
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The submission deadline is 5 weeks away 🗓️. Help us gauge our reviewing needs! If you are planning to submit to the NeurReps Workshop, please fill out the anonymous poll below. I am planning to submit:.
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And from Henry Kvinge on training neural networks with topological features
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The workshop will also feature 65 submitted works -- 40 extended abstracts and 25 proceedings papers -- which will be presented as posters in the workshop. All papers can be found on OpenReview:
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The following themes are particularly relevant:. - Learning invariant and equivariant representations.- Stat learning theory + topology, geometry, & symmetry.- Representational geometry in neural data.- Equivariant world models for robotics.
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Thank you to our authors, presenters, and panelists for sharing their work and delivering such high-quality presentations. We look forward to watching this exciting body of work continue to develop
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Kristopher Jensen with an impressive live demonstration identifying latent non-Euclidean structure in neural data with generative models 🔥. @KrisTorpJensen
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📄 CFP 📄. We seek papers at the intersection of 🧠 neuroscience, 🤖 geometric deep learning, and 🌐 geometric statistics that incorporate symmetry, geometry, or topology into:. The design and analysis of neural networks.The analysis of neural data.Theories of neural computation.
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We hope to see theoretical contributions and applied results in domains like vision, motor control, navigation, and language and creative use of mathematical objects---quotient spaces, fiber bundles, Lie groups, Riemannian manifolds, graphs, topological domains, and group reps.
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- Topological deep learning and topological data analysis.- Geometric structure in language.- Geometry & topology + generative models.- Symmetries in dynamical systems.
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The following themes are particularly relevant:. - Group-invariance and equivariance.- Manifold learning.- Disentangled representations.- Estimation on manifolds and Lie groups.
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Organizers: @naturecomputes @cashewmake2 @simoneazeglio @ari_dibe @ninamiolane . Follow us for the latest updates!.
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Thankfully the authors are much better at research than we are at photography.
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We hope to see both theoretical contributions and applied results incorporating diverse mathematical objects such as quotient spaces, fiber bundles, Lie groups, Riemannian manifolds, graphs, and group representations.
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