Christian Tjandraatmadja, Ross Anderson, Joey Huchette, Will Ma, Krunal Patel and Juan Pablo Vielma
Paper (2020)
This item is not archived in PolyPublie| Department: | Department of Computer Engineering and Software Engineering |
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| ISBN: | 9781713829546 |
| PolyPublie URL: | https://publications.polymtl.ca/49444/ |
| Conference Title: | 34th Conference on Neural Information Processing Systems (NeurIPS 2020) |
| Conference Date(s): | 2020-12-06 - 2020-12-12 |
| Publisher: | Neural Information Processing Systems Foundation |
| Date Deposited: | 18 Apr 2023 15:01 |
| Last Modified: | 25 Sep 2024 16:38 |
| Cite in APA 7: | Tjandraatmadja, C., Anderson, R., Huchette, J., Ma, W., Patel, K., & Vielma, J. P. (2020, December). The convex relaxation barrier, revisited: Tightened single-neuron relaxations for neural network verification [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020). |
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