| 2026 | COLT | Efficient Learning and Symmetry Discovery under Exact Invariances. | Ashkan Soleymani, Behrooz Tahmasebi, Patrick Jaillet, Stefanie Jegelka |
| 2026 | COLT | Data Augmentation: A Fourier Analysis Perspective. | Behrooz Tahmasebi, Melanie Weber, Stefanie Jegelka |
| 2025 | AISTATS | A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries. | Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet |
| 2025 | AISTATS | Regularity in Canonicalized Models: A Theoretical Perspective. | Behrooz Tahmasebi, Stefanie Jegelka |
| 2025 | ICLR | Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging. | Behrooz Tahmasebi, Stefanie Jegelka |
| 2025 | ICML | Learning with Exact Invariances in Polynomial Time. | Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet |
| 2024 | ICML | Sample Complexity Bounds for Estimating Probability Divergences under Invariances. | Behrooz Tahmasebi, Stefanie Jegelka |
| 2024 | ICML | A Universal Class of Sharpness-Aware Minimization Algorithms. | Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet |
| 2023 | AISTATS | The Power of Recursion in Graph Neural Networks for Counting Substructures. | Behrooz Tahmasebi, Derek Lim, Stefanie Jegelka |
| 2020 | ISIT | Private Function Computation. | Behrooz Tahmasebi, Mohammad Ali Maddah-Ali |
| 2019 | ISIT | Private Sequential Function Computation. | Behrooz Tahmasebi, Mohammad Ali Maddah-Ali |
| 2018 | ISIT | On the Identifiability of Parameters in the Population Stratification Problem: A Worst-Case Analysis. | Behrooz Tahmasebi, Abolfazl S. Motahari, Mohammad Ali Maddah-Ali |
| 2018 | ISIT | Genome-Wide Association Studies: Information Theoretic Limits of Reliable Learning. | Behrooz Tahmasebi, Mohammad Ali Maddah-Ali, Abolfazl S. Motahari |
| 2018 | ITW | Information Theory of Mixed Population Genome-Wide Association Studies. | Behrooz Tahmasebi, Mohammad Ali Maddah-Ali, Seyed Abolfazl Motahari |