Seeing Things in Random-Dot Videos. - Thomas Dagès; Michael Lindenbaum; Alfred M. Bruckstein (ACPR (1), 2019)

A Bound on the Edge-Flipping Distance between Triangulations (Revisiting the Proof). - Thomas Dagès; Alfred M. Bruckstein (CoRR, 2021)

Probabilistic Gathering of Agents with Simple Sensors. - Ariel Barel; Thomas Dagès; Rotem Manor; Alfred M. Bruckstein (SIAM J. Appl. Math., 2021)

Doubly Stochastic Pairwise Interactions for Agreement and Alignment. - Thomas Dagès; Alfred M. Bruckstein (SIAM J. Appl. Math., 2022)

A Model is Worth Tens of Thousands of Examples. - Thomas Dagès; Laurent D. Cohen; Alfred M. Bruckstein (SSVM, 2023)

From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task. - Thomas Dagès; Michael Lindenbaum; Alfred M. Bruckstein (CoRR, 2023)

On Partial Shape Correspondence and Functional Maps. - Amit Bracha; Thomas Dagès; Ron Kimmel (CoRR, 2023)

On Unsupervised Partial Shape Correspondence. - Amit Bracha; Thomas Dagès; Ron Kimmel (ACCV (9), 2024)

Finsler-Laplace-Beltrami Operators with Application to Shape Analysis. - Simon Weber 002; Thomas Dagès; Maolin Gao; Daniel Cremers (CVPR, 2024)

Wormhole Loss for Partial Shape Matching. - Amit Bracha; Thomas Dagès; Ron Kimmel (NeurIPS, 2024)

Metric Convolutions: A Unifying Theory to Adaptive Convolutions. - Thomas Dagès; Michael Lindenbaum; Alfred M. Bruckstein (CoRR, 2024)

Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. - Thomas Dagès; Simon Weber 002; Ya-Wei Eileen Lin; Ronen Talmon; Daniel Cremers; Michael Lindenbaum; Alfred M. Bruckstein; Ron Kimmel (CVPR, 2025)

A model is worth tens of thousands of examples for estimation and thousands for classification. - Thomas Dagès; Laurent D. Cohen; Alfred M. Bruckstein (Pattern Recognit., 2025)