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Michael M. Bronstein

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Papers (41)

  1. A Mechanistic Analysis of Looped Reasoning Language Models cs.LG · 2026 · author #6
  2. HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs cs.LG · 2025 · author #3
  3. Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cs.LG · 2021 · author #1
  4. Fake News Detection on Social Media using Geometric Deep Learning cs.SI · 2019 · author #5
  5. Functional Maps Representation on Product Manifolds cs.GR · 2018 · author #4
  6. Nonisometric Surface Registration via Conformal Laplace-Beltrami Basis Pursuit math.NA · 2018 · author #2
  7. Graph Neural Networks for IceCube Signal Classification cs.LG · 2018 · author #8
  8. Dual-Primal Graph Convolutional Networks cs.LG · 2018 · author #6
  9. PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks cs.LG · 2018 · author #4
  10. MotifNet: a motif-based Graph Convolutional Network for directed graphs cs.LG · 2018 · author #3
  11. Dynamic Graph CNN for Learning on Point Clouds cs.CV · 2018 · author #5
  12. Subspace Least Squares Multidimensional Scaling cs.CG · 2017 · author #3
  13. Localized Manifold Harmonics for Spectral Shape Analysis cs.GR · 2017 · author #4
  14. CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters cs.LG · 2017 · author #4
  15. Generative Convolutional Networks for Latent Fingerprint Reconstruction cs.CV · 2017 · author #3
  16. Deep Functional Maps: Structured Prediction for Dense Shape Correspondence cs.CV · 2017 · author #5
  17. Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks cs.LG · 2017 · author #2
  18. Geometric deep learning on graphs and manifolds using mixture model CNNs cs.CV · 2016 · author #6
  19. Geometric deep learning: going beyond Euclidean data cs.CV · 2016 · author #1
  20. Optimization on the biorthogonal manifold math.OC · 2016 · author #2
  21. Learning shape correspondence with anisotropic convolutional neural networks cs.CV · 2016 · author #4
  22. Partial Functional Correspondence cs.CV · 2015 · author #3
  23. MADMM: a generic algorithm for non-smooth optimization on manifolds math.OC · 2015 · author #3
  24. Geodesic convolutional neural networks on Riemannian manifolds cs.CV · 2015 · author #3
  25. Shape-from-intrinsic operator cs.CV · 2014 · author #3
  26. Sparse similarity-preserving hashing cs.CV · 2013 · author #3
  27. Heat kernel coupling for multiple graph analysis cs.CV · 2013 · author #1
  28. Structure-preserving color transformations using Laplacian commutativity cs.CV · 2013 · author #3
  29. Making Laplacians commute cs.CV · 2013 · author #1
  30. Almost-commuting matrices are almost jointly diagonalizable cs.NA · 2013 · author #2
  31. Asymptotic metrics on the space of matrices under the commutation relation cs.NA · 2013 · author #2
  32. Multimodal diffusion geometry by joint diagonalization of Laplacians cs.CV · 2012 · author #3
  33. Multimodal similarity-preserving hashing cs.CV · 2012 · author #2
  34. Descriptor learning for omnidirectional image matching cs.CV · 2011 · author #3
  35. Multimodal diff-hash cs.CV · 2011 · author #1
  36. A correspondence-less approach to matching of deformable shapes cs.CV · 2011 · author #3
  37. Diffusion framework for geometric and photometric data fusion in non-rigid shape analysis cs.CV · 2011 · author #2
  38. Affine-invariant geodesic geometry of deformable 3D shapes cs.CV · 2010 · author #3
  39. Affine-invariant diffusion geometry for the analysis of deformable 3D shapes cs.CV · 2010 · author #3
  40. Diffusion-geometric maximally stable component detection in deformable shapes cs.CV · 2010 · author #3
  41. The Video Genome cs.CV · 2010 · author #2

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