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Theilman, B., Wang, Y., Parekh, O., Severa, W., Smith, J.D., Aimone, J.B., & Aimone, J.B. (2023). Stochastic Neuromorphic Circuits for Solving MAXCUT [Conference Presenation]. Proceedings - 2023 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2023. https://doi.org/10.2172/2431148

Theilman, B., Wang, Y., Parekh, O., Severa, W., Smith, J.D., Aimone, J.B., & Aimone, J.B. (2023). Stochastic Neuromorphic Circuits for Solving MAXCUT [Conference Presenation]. Proceedings - 2023 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2023. https://doi.org/10.2172/2431319

Aimone, J.B., Ho, Y., Parekh, O., Phillips, C.A., Pinar, A., Severa, W., Wang, Y., & Wang, Y. (2021). Provable advantages for graph algorithms in spiking neural networks [Conference Paper]. Annual ACM Symposium on Parallelism in Algorithms and Architectures. https://doi.org/10.1145/3409964.3461813

Aimone, J.B., Ho, Y., Parekh, O., Phillips, C.A., Pinar, A., Severa, W., Wang, Y., & Wang, Y. (2021). Provable Advantages for Graph Algorithms in Spiking Neural Networks [Conference Presenation]. https://doi.org/10.2172/1890920

Aimone, J.B., Ho, Y., Parekh, O., Phillips, C.A., Pinar, A., Severa, W., Wang, Y., & Wang, Y. (2020). Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths [Conference Poster]. https://www.osti.gov/biblio/1814114

Aimone, J.B., Ho, Y., Parekh, O., Phillips, C.A., Pinar, A., Severa, W., Wang, Y., & Wang, Y. (2020). Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths [Conference Poster]. https://www.osti.gov/biblio/1808434

7 Results
7 Results