Research & Publications
Peer-Reviewed Conference Papers:
Interpreting deep-learned error-correcting codes (ISIT 2022) [paper]
Natasha Devroye, Neshat Mohammadi, Abhijeet Mulgund, Raj Shekhar, Gyorgy Turán, Yeqi Wei, Miloš Žefran
On the Geometry of Stable Steiner Tree Instances (CCCG 2022) [paper]
James Freitag, Neshat Mohammadi, Aditya Potukuchi, Lev Reyzin.
Learning Lines with Ordinal Constraints (APPROX 2020) [paper]
Bohan Fan, Diego Ihara Centurion, Neshat Mohammadi, Francesco Sgherzi, Anastasios Sidiropoulos, Mina Valizadeh.
Algorithms for Metric Learning via Contrastive Embedding (SoCG 2019) [paper]
Diego Ihara Centurion, Neshat Mohammadi, Anastasios Sidiropolous.
Designing Signals with Good Correlation and Distribution Properties (ICASSP 2018) [paper]
Arindam Bose, Neshat Mohammadi, Mojtaba Soltanalian.
Working Papers and Preprints:
Robust Mahalanobis Metric Learning via Geometric Approximation Algorithms (arXiv)
Diego Ihara Centurion, Neshat Mohammadi, Francesco Sgherzi, Anastasios Sidiropoulos.