Research output per year
Research output per year
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Dive into the research topics where Nadav Dym is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Complete Neural Networks for Complete Euclidean Graphs
Hordan, S., Amir, T., Gortler, S. J. & Dym, N., 25 Mar 2024, Technical Tracks 14. Wooldridge, M., Dy, J. & Natarajan, S. (eds.). 11 ed. p. 12482-12490 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 11).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Low-Dimensional Invariant Embeddings for Universal Geometric Learning
Dym, N. & Gortler, S. J., 2024, (Accepted/In press) In: Foundations of Computational Mathematics.Research output: Contribution to journal › Article › peer-review
Open Access -
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem
Amir, T., Gortler, S. J., Avni, I., Ravina, R. & Dym, N., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
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Neural Network Approximation of Refinable Functions
Daubechies, I., Devore, R., Dym, N., Faigenbaum-Golovin, S., Kovalsky, S. Z., Lin, K. C., Park, J., Petrova, G. & Sober, B., 1 Jan 2023, In: IEEE Transactions on Information Theory. 69, 1, p. 482-495 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A simple and universal rotation equivariant point-cloud network
Finkelshtein, B., Baskin, C., Maron, H. & Dym, N., 2022, In: Proceedings of Machine Learning Research. 196, p. 107-115 9 p.Research output: Contribution to journal › Conference article › peer-review