| 2024 | ISIT | Empirical Risk Minimization and Uniform Convergence for Probabilistically Observed and Quantum Measurement Hypothesis Classes. | Abram Magner, Arun Padakandla |
| 2024 | KDD | Low Rank Multi-Dictionary Selection at Scale. | Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov |
| 2022 | AISTATS | PAC Learning of Quantum Measurement Classes : Sample Complexity Bounds and Universal Consistency. | Arun Padakandla, Abram Magner |
| 2022 | ISIT | Local Limit Theorems for Approximate Maximum Likelihood Estimation of Network Information Spreading Models. | Abram Magner, Amith Kumar Singh |
| 2021 | ISIT | On Dimension in Graph Convolutional Networks for Distinguishing Random Graph Models. | Abram Magner |
| 2020 | ALT | Toward universal testing of dynamic network models. | Abram Magner, Wojciech Szpankowski |
| 2020 | ISIT | The Power of Graph Convolutional Networks to Distinguish Random Graph Models. | Abram Magner, Mayank Baranwal, Alfred O. Hero III |
| 2019 | ISIT | Compression of Preferential Attachment Graphs. | Tomasz Luczak, Abram Magner, Wojciech Szpankowski |
| 2017 | ISIT | Entropy of some general plane trees. | Zbigniew Golebiewski, Abram Magner, Wojciech Szpankowski |
| 2017 | ISIT | Recovery of vertex orderings in dynamic graphs. | Abram Magner, Ananth Grama, Jithin K. Sreedharan, Wojciech Szpankowski |
| 2016 | ISIT | The Boltzmann sequence-structure channel. | Abram Magner, Daisuke Kihara, Wojciech Szpankowski |
| 2016 | ISIT | Lossless compression of binary trees with correlated vertex names. | Abram Magner, Krzysztof Turowski, Wojciech Szpankowski |
| 2015 | ITA | Phase transitions in a sequence-structure channel. | Abram Magner, Daisuke Kihara, Wojciech Szpankowski |