• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 25 matches

• 2023
• 
  Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober:
  Neural Network Approximation of Refinable Functions. IEEE Trans. Inf. Theory 69(1): 482-495 (2023)
• 
  Snir Hordan, Tal Amir, Steven J. Gortler, Nadav Dym:
  Complete Neural Networks for Euclidean Graphs. CoRR abs/2301.13821 (2023)
• 
  Tal Amir, Steven J. Gortler, Ilai Avni, Ravina Ravina, Nadav Dym:
  Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem. CoRR abs/2306.06529 (2023)
• 2022
• 
  Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym:
  A Simple and Universal Rotation Equivariant Point-Cloud Network. TAG-ML 2022: 107-115
• 
  Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym:
  A Simple and Universal Rotation Equivariant Point-cloud Network. CoRR abs/2203.01216 (2022)
• 
  Nadav Dym, Steven J. Gortler:
  Low Dimensional Invariant Embeddings for Universal Geometric Learning. CoRR abs/2205.02956 (2022)
• 
  Tal Amir, Shahar Z. Kovalsky, Nadav Dym:
  Symmetrized Robust Procrustes: Constant-Factor Approximation and Exact Recovery. CoRR abs/2207.08592 (2022)
• 2021
• 
  Nadav Dym, Haggai Maron:
  On the Universality of Rotation Equivariant Point Cloud Networks. ICLR 2021
• 
  Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober:
  Neural Network Approximation of Refinable Functions. CoRR abs/2107.13191 (2021)
• 2020
• 
  Nadav Dym, Barak Sober, Ingrid Daubechies:
  Expression of Fractals Through Neural Network Functions. IEEE J. Sel. Areas Inf. Theory 1(1): 57-66 (2020)
• 
  Cheng Cheng, Ingrid Daubechies, Nadav Dym, Jianfeng Lu:
  Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements. CoRR abs/2006.11709 (2020)
• 
  Nadav Dym, Haggai Maron:
  On the Universality of Rotation Equivariant Point Cloud Networks. CoRR abs/2010.02449 (2020)
• 2019
• 
  Yam Kushinsky, Haggai Maron, Nadav Dym, Yaron Lipman:
  Sinkhorn Algorithm for Lifted Assignment Problems. SIAM J. Imaging Sci. 12(2): 716-735 (2019)
• 
  Nadav Dym, Shahar Z. Kovalsky:
  Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. ICCV 2019: 1628-1636
• 
  Nadav Dym, Shahar Ziv Kovalsky:
  Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. CoRR abs/1904.02204 (2019)
• 
  Nadav Dym, Barak Sober, Ingrid Daubechies:
  Expression of Fractals Through Neural Network Functions. CoRR abs/1905.11345 (2019)
• 2018
• 
  Nadav Dym:
  Exact Recovery with Symmetries for the Doubly Stochastic Relaxation. SIAM J. Appl. Algebra Geom. 2(3): 462-488 (2018)
• 
  Roee Lazar, Nadav Dym, Yam Kushinsky, Zhiyang Huang, Tao Ju, Yaron Lipman:
  Robust optimization for topological surface reconstruction. ACM Trans. Graph. 37(4): 46 (2018)
• 2017
• 
  Nadav Dym, Yaron Lipman:
  Exact Recovery with Symmetries for Procrustes Matching. SIAM J. Optim. 27(3): 1513-1530 (2017)
• 
  Nadav Dym, Haggai Maron, Yaron Lipman:
  DS++: a flexible, scalable and provably tight relaxation for matching problems. ACM Trans. Graph. 36(6): 184:1-184:14 (2017)
• 
  Haggai Maron, Meirav Galun, Noam Aigerman, Miri Trope, Nadav Dym, Ersin Yumer, Vladimir G. Kim, Yaron Lipman:
  Convolutional neural networks on surfaces via seamless toric covers. ACM Trans. Graph. 36(4): 71:1-71:10 (2017)
• 
  Nadav Dym, Haggai Maron, Yaron Lipman:
  DS++: A flexible, scalable and provably tight relaxation for matching problems. CoRR abs/1705.06148 (2017)
• 
  Nadav Dym, Yaron Lipman, Raz Slutsky:
  A Linear Variational Principle for Riemann Mapping and Discrete Conformality. CoRR abs/1711.02221 (2017)
• 2016
• 
  Haggai Maron, Nadav Dym, Itay Kezurer, Shahar Z. Kovalsky, Yaron Lipman:
  Point registration via efficient convex relaxation. ACM Trans. Graph. 35(4): 73:1-73:12 (2016)
• 2015
• 
  Nadav Dym, Anna Shtengel, Yaron Lipman:
  Homotopic Morphing of Planar Curves. Comput. Graph. Forum 34(5): 239-251 (2015)