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@inproceedings{weber2024finslerlaplacebeltrami,
 title = {Finsler-Laplace-Beltrami Operators with Application to Shape Analysis},
 author = {S Weber and T Dagès and M Gao and D Cremers},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 keywords = {shape analysis, finsler manifold},
 titleurl = {weber_finsler.png},
 year = {2024},
 url = {https://openaccess.thecvf.com/content/CVPR2024/html/Weber_Finsler-Laplace-Beltrami_Operators_with_Application_to_Shape_Analysis_CVPR_2024_paper.html},
 eprint = {2404.03999},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}

@inproceedings{dages2025finsler,
 title = {Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding},
 author = {T Dagès and S Weber and YWE Lin and R Talmon and D Cremers and M Lindenbaum and AM. Bruckstein and R Kimmel},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2025},
 titleurl = {dages2025finsler.png},
 url = {https://openaccess.thecvf.com/content/CVPR2025/html/Dages_Finsler_Multi-Dimensional_Scaling_Manifold_Learning_for_Asymmetric_Dimensionality_Reduction_and_CVPR_2025_paper.html},
 eprint = {2503.18010},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}

@article{dages2026harnessing,
 title = {Harnessing Data Asymmetry: Manifold Learning in the Finsler World},
 author = {T Dagès and S Weber and D Cremers and R Kimmel},
 journal = {arXiv preprint arXiv:2603.11396},
 url = {https://arxiv.org/abs/2603.11396},
 titleurl = {dages2026harnessing.png},
 year = {2026},
}

@article{velich2025learning,
 title = {Learning Eigenstructures of Unstructured Data Manifolds},
 author = {R Velich and A Piven and D Bensaïd and D Cremers and T Dagès and R Kimmel},
 journal = {arXiv preprint arXiv:2512.01103},
 year = {2025},
 url = {https://arxiv.org/abs/2512.01103},
 titleurl = {velich2025learning.png},
}

@inproceedings{dages2025metric,
 title = {Metric Convolutions: A Unifying Theory to Adaptive Image Convolutions},
 author = {T Dagès and M Lindenbaum and AM Bruckstein},
 booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
 pages = {13974--13984},
 year = {2025},
 url = {https://openaccess.thecvf.com/content/ICCV2025/html/Dages_Metric_Convolutions_A_Unifying_Theory_to_Adaptive_Image_Convolutions_ICCV_2025_paper.html},
 titleurl = {dages2025metric.png},
 eprint = {2406.05400},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}

@article{bracha2024wormhole,
 title = {Wormhole Loss for Partial Shape Matching},
 author = {A Bracha and T Dagès and R Kimmel},
 journal = {Advances in Neural Information Processing Systems},
 volume = {37},
 pages = {131247--131277},
 year = {2024},
 url = {https://proceedings.neurips.cc/paper_files/paper/2024/hash/ed24eafde44aef581b9f605319583b6d-Abstract-Conference.html},
 titleurl = {bracha2024wormhole.png},
 eprint = {2410.22899},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}

@inproceedings{bracha2024unsupervised,
 title = {On unsupervised partial shape correspondence},
 author = {A Bracha and T Dagès and R Kimmel},
 booktitle = {Proceedings of the Asian Conference on Computer Vision},
 pages = {4488--4504},
 year = {2024},
 url = {https://openaccess.thecvf.com/content/ACCV2024/html/Bracha_On_Unsupervised_Partial_Shape_Correspondence_ACCV_2024_paper.html},
 titleurl = {bracha2024unsupervised.png},
 eprint = {2310.14692},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}

@article{dages2025model,
 title = {A model is worth tens of thousands of examples for estimation and thousands for classification},
 author = {T Dagès and LD Cohen and AM Bruckstein},
 journal = {Pattern Recognition},
 volume = {157},
 pages = {110904},
 year = {2025},
 publisher = {Elsevier},
 url = {https://www.sciencedirect.com/science/article/pii/S0031320324006551?casa_token=mZ58hFC4tMkAAAAA:udQoyxFbuD8BUONY5bwtd5sM820TMvRKxWwC0dXz4RjalPgY817eERxEkPxN8vE4f2zah4vixg},
 titleurl = {dages202xmodel.png},
}

@inproceedings{dages2023model,
 title = {A model is worth tens of thousands of examples},
 author = {T Dagès and LD Cohen and AM Bruckstein},
 booktitle = {International conference on scale space and variational methods in computer vision},
 pages = {223--235},
 year = {2023},
 organization = {Springer},
 url = {https://link.springer.com/chapter/10.1007/978-3-031-31975-4_17},
 titleurl = {dages202xmodel.png},
 eprint = {2303.10608},
 eprinttype = {arXiv},
 eprintclass = {cs.LG},
}

@article{dages2023compass,
 title = {From compass and ruler to convolution and nonlinearity: On the surprising difficulty of understanding a simple CNN solving a simple geometric estimation task},
 author = {T Dagès and M Lindenbaum and AM Bruckstein},
 journal = {arXiv preprint arXiv:2303.06638},
 year = {2023},
 url = {https://arxiv.org/abs/2303.06638},
 titleurl = {dages2023compass.png},
}

@article{dages2022doubly,
 title = {Doubly stochastic pairwise interactions for agreement and alignment},
 author = {T Dagès and AM Bruckstein},
 journal = {SIAM Journal on Applied Mathematics},
 volume = {82},
 number = {4},
 pages = {1246--1266},
 year = {2022},
 publisher = {SIAM Journal on Applied Mathematics},
 url = {https://epubs.siam.org/doi/abs/10.1137/21M1394680},
 titleurl = {dages2022doubly.png},
 eprint = {2012.13727},
 eprinttype = {arXiv},
 eprintclass = {cs.MA},
}

@article{barel2021probabilistic,
 title = {Probabilistic gathering of agents with simple sensors},
 author = {A Barel and T Dagès and R Manor and AM Bruckstein},
 journal = {SIAM Journal on Applied Mathematics},
 volume = {81},
 number = {2},
 pages = {620--640},
 year = {2021},
 publisher = {SIAM Journal on Applied Mathematics},
 url = {https://epubs.siam.org/doi/abs/10.1137/20M133333X},
 titleurl = {barel2021probabilistic.png},
 eprint = {1902.00294},
 eprinttype = {arXiv},
 eprintclass = {cs.MA},
}

@inproceedings{dages2019seeing,
 title = {Seeing things in random-dot videos},
 author = {T Dagès and M Lindenbaum and AM Bruckstein},
 booktitle = {Asian Conference on Pattern Recognition},
 pages = {195--208},
 year = {2019},
 organization = {Springer},
 url = {https://link.springer.com/chapter/10.1007/978-3-030-41404-7_14},
 titleurl = {dages2019seeing.png},
}

@article{dages2021bound,
 title = {A Bound on the Edge-Flipping Distance between Triangulations (Revisiting the Proof)},
 author = {T Dagès and AM Bruckstein},
 journal = {arXiv preprint arXiv:2106.14408},
 year = {2021},
 url = {https://arxiv.org/abs/2106.14408},
 titleurl = {dages2021bound.png},
}

@article{harenstam2026generative,
 title = {Generative Shape Reconstruction with Geometry-Guided Langevin Dynamics},
 author = {L Härenstam-Nielsen and D Pozdeev and T Dagès and N Araslanov and D Cremers},
 journal = {arXiv preprint arXiv:2603.27016},
 year = {2026},
 url = {https://arxiv.org/abs/2603.27016},
 titleurl = {ggl.png},
}