Designing Signals with Good Correlation and Distribution Properties. - Arindam Bose; Neshat Mohammadi; Mojtaba Soltanalian (ICASSP, 2018)

Algorithms for Metric Learning via Contrastive Embeddings. - Diego Ihara; Neshat Mohammadi; Anastasios Sidiropoulos (SoCG, 2019)

Learning Mahalanobis Metric Spaces via Geometric Approximation Algorithms. - Diego Ihara; Neshat Mohammadi; Anastasios Sidiropoulos (CoRR, 2019)

Learning Lines with Ordinal Constraints. - Bohan Fan; Diego Ihara; Neshat Mohammadi; Francesco Sgherzi; Anastasios Sidiropoulos; Mina Valizadeh (APPROX-RANDOM, 2020)

On the Geometry of Stable Steiner Tree Instances. - James Freitag; Neshat Mohammadi; Aditya Potukuchi; Lev Reyzin (CCCG, 2022)

Interpreting Deep-Learned Error-Correcting Codes. - Natasha Devroye; Neshat Mohammadi; Abhijeet Mulgund; Harish Naik; Raj Shekhar; György Turán; Yeqi Wei; Milos Zefran (ISIT, 2022)