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 -
Equivariant Deep Weight Space Alignment
Navon, A., Shamsian, A., Fetaya, E., Chechik, G., Dym, N. & Maron, H., 2024, In: Proceedings of Machine Learning Research. 235, p. 37376-37395 20 p.Research output: Contribution to journal › Conference article › peer-review
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Equivariant Frames and the Impossibility of Continuous Canonicalization
Dym, N., Lawrence, H. & Siegel, J. W., 2024, In: Proceedings of Machine Learning Research. 235, p. 12228-12267 40 p.Research output: Contribution to journal › Conference article › peer-review
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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 -
Position: Future Directions in the Theory of Graph Machine Learning
Morris, C., Frasca, F., Dym, N., Maron, H., Ceylan, I. I., Levie, R., Lim, D., Bronstein, M., Grohe, M. & Jegelka, S., 2024, In: Proceedings of Machine Learning Research. 235, p. 36294-36307 14 p.Research output: Contribution to journal › Conference article › peer-review