Low-Dimensional Invariant Embeddings for Universal Geometric Learning von Dym, Nadav, Gortler, Steven J.

Volltext

Point registration via efficient convex relaxation von Maron, Haggai, Dym, Nadav, Kezurer, Itay, Kovalsky, Shahar, Lipman, Yaron

Volltext

Exact Recovery with Symmetries for Procrustes Matching von Dym, Nadav, Lipman, Yaron

Volltext

Convolutional neural networks on surfaces via seamless toric covers von Maron, Haggai, Galun, Meirav, Aigerman, Noam, Trope, Miri, Dym, Nadav, Yumer, Ersin, Kim, Vladimir G., Lipman, Yaron

Volltext

Linear variational principle for Riemann mappings and discrete conformality von Dym, Nadav, Slutsky, Raz, Lipman, Yaron

Volltext

Exact Recovery with Symmetries for the Doubly Stochastic Relaxation von Dym, Nadav

Volltext

Stable phase retrieval from locally stable and conditionally connected measurements von Cheng, Cheng, Daubechies, Ingrid, Dym, Nadav, Lu, Jianfeng

Volltext

DS: a flexible, scalable and provably tight relaxation for matching problems von Dym, Nadav, Maron, Haggai, Lipman, Yaron

Volltext

Expression of Fractals Through Neural Network Functions von Dym, Nadav, Sober, Barak, Daubechies, Ingrid

Volltext

Sinkhorn Algorithm for Lifted Assignment Problems von Kushinsky, Yam, Maron, Haggai, Dym, Nadav, Lipman, Yaron

Volltext

Robust optimization for topological surface reconstruction von Lazar, Roee, Dym, Nadav, Kushinsky, Yam, Huang, Zhiyang, Ju, Tao, Lipman, Yaron

Volltext

Neural Network Approximation of Refinable Functions von Daubechies, Ingrid, DeVore, Ronald, Dym, Nadav, Faigenbaum-Golovin, Shira, Kovalsky, Shahar Z., Lin, Kung-Chin, Park, Josiah, Petrova, Guergana, Sober, Barak

Volltext

On the Expressive Power of Sparse Geometric MPNNs von Sverdlov, Yonatan, Dym, Nadav

Volltext bestellen

On the H\"{o}lder Stability of Multiset and Graph Neural Networks von Davidson, Yair, Dym, Nadav

Volltext bestellen

Fourier Sliced-Wasserstein Embedding for Multisets and Measures von Amir, Tal, Dym, Nadav

Volltext bestellen

Quasi Branch and Bound for Smooth Global Optimization von Dym, Nadav

Volltext bestellen

Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations von Sverdlov, Yonatan, Springer, Ido, Dym, Nadav

Volltext bestellen

Equivariant Frames and the Impossibility of Continuous Canonicalization von Dym, Nadav, Lawrence, Hannah, Siegel, Jonathan W

Volltext bestellen

Weisfeiler Leman for Euclidean Equivariant Machine Learning von Hordan, Snir, Amir, Tal, Dym, Nadav

Volltext bestellen

Low Dimensional Invariant Embeddings for Universal Geometric Learning von Dym, Nadav, Gortler, Steven J

Volltext bestellen