Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Dive into the research topics where Yair Weiss 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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DO WGANS SUCCEED BECAUSE THEY MINIMIZE THE WASSERSTEIN DISTANCE? LESSONS FROM DISCRETE GENERATORS
Elnekave, A. & Weiss, Y., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 13903-13924 22 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Lost in Translation: Modern Neural Networks Still Struggle with Small Realistic Image Transformations
Shifman, O. & Weiss, Y., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 231-247 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15127 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
What Do Visual Neural Networks Learn?
Har-Shalom, D. & Weiss, Y., 17 Sep 2025, In: Annual Review of Vision Science. 11, 1, p. 591-610 20 p.Research output: Contribution to journal › Review article › peer-review
Open Access -
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective
Chowers, R. & Weiss, Y., 2023, In: Proceedings of Machine Learning Research. 202, p. 6115-6139 25 p.Research output: Contribution to journal › Conference article › peer-review
3 Scopus citations -
Generating Natural Images with Direct Patch Distributions Matching
Elnekave, A. & Weiss, Y., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 544-560 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13677 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
20 Scopus citations