#geometricdeeplearning — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #geometricdeeplearning, aggregated by home.social.
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Representation learning often emphasizes metric preservation. We instead build Symplectic structural invariance directly into the representation.
https://arxiv.org/abs/2512.19409
We embed Hamiltonian/symplectic geometry by making the RNN state dynamics a symplectomorphism, which preserves Legendre duality (information geometry) through time. This yields structure-preserving representations enforced by the latent dynamics, rather than imposed indirectly via the output.
#ReservoirComputing #RepresentationLearning #InformationGeometry #SymplecticGeometry #HamiltonianDynamics #GeometricDeepLearning #DynamicalSystems #PhysicsInformedML
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Really looking forward to this workshop! It will be cool to discuss what equivariance can do for robotics and what the geometric dl field can learn from robotics.
https://mobile.twitter.com/DianWang1007/status/1640423772426768384
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Our #ICLR2023 workshop on Physics4ML is open for submissions. Deadline: 3rd February.
Submit your work on physics-based ML, equivariance, etc here: https://openreview.net/group?id=ICLR.cc/2023/Workshop/Physics4ML
More info:
https://physics4ml.github.io/https://mobile.twitter.com/tk_rusch/status/1610305901558210563
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We're organising a workshop on Physics for ML at #ICLR2023.
Submit your work on physics-based ML, equivariance, etc.
Site: https://physics4ml.github.io
OpenReview: https://openreview.net/group?id=ICLR.cc/2023/Workshop/Physics4MLDeadline 3rd Feb.
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On my way to #aiche 2022 in #phoenix to talk about #GeometricDeepLearning! We'll see if I can make it out of #yyz today or if my flights will continue to be delayed and cancelled 🥲