Maissam Barkeshli

Zhang, Y., & Barkeshli, M. (2025). Electric polarization in Chern insulators: Unifying many-body and single-particle approaches. ArXiv. http://doi.org/10.48550/arXiv.2503.05864 (Original work published March 2025)

Kalra, D., He, T., & Barkeshli, M. (2025). Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos. Https://arxiv.org/Abs/2311.02076. Retrieved from https://arxiv.org/abs/2311.02076 (Original work published February 2025)

Tao, T., Doshi, D., Kalra, D., He, T., & Barkeshli, M. (2025). (How) Can Transformers Predict Pseudo-Random Numbers?. Https://arxiv.org/Abs/2502.10390. Retrieved from https://arxiv.org/abs/2502.10390 (Original work published February 2025)

Kalra, D., Kirchenbauer, J., Barkeshli, M., & Goldstein, T. (2025). When Can You Get Away with Low Memory Adam?. Https://arxiv.org/Abs/2503.01843. Retrieved from https://arxiv.org/abs/2503.01843 (Original work published March 2025)

Zhang, Y., & Barkeshli, M. (2025). Electric polarization in Chern insulators: Unifying many-body and single-particle approaches. Https://arxiv.org/Abs/2503.05864. Retrieved from https://arxiv.org/abs/2503.05864 (Original work published March 2025)

Lavasani, A., Gullans, M., Albert, V., & Barkeshli, M. (2024). On stability of k-local quantum phases of matter. ArXiv. Retrieved from https://arxiv.org/abs/2405.19412 (Original work published September 2024)

Barkeshli, M., Chen, Y.-A., Huang, S.-J., Kobayashi, R., Tantivasadakarn, N., & Zhu, G. (2023). Codimension-2 defects and higher symmetries in (3+1)D topological phases. SciPost Phys., 14, 065. http://doi.org/10.21468/SciPostPhys.14.4.065 (Original work published May 2023)

Zhang, Y., Manjunath, N., Kobayashi, R., & Barkeshli, M. (2023). Complete Crystalline Topological Invariants from Partial Rotations in $(2+1)\mathrmD$ Invertible Fermionic States and Hofstadter s Butterfly. Phys. Rev. Lett., 131, 176501. http://doi.org/10.1103/PhysRevLett.131.176501 (Original work published October 2023)

Kalra, D., & Barkeshli, M. (2023). Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width. In 37th Conference on Neural Information Processing Systems (NeurIPS). http://doi.org/10.5555/3666122.3668370 (Original work published September 2023)

Manjunath, N., Calvera, V., & Barkeshli, M. (2024). Characterization and classification of interacting ($2+1$)-dimensional topological crystalline insulators with orientation-preserving wallpaper groups. Phys. Rev. B, 109, 035168. http://doi.org/10.1103/PhysRevB.109.035168 (Original work published January 2024)