| 2022 | AISTATS | Estimators of Entropy and Information via Inference in Probabilistic Models. | Feras Saad, Marco F. Cusumano-Towner, Vikash Mansinghka |
| 2022 | UAI | Recursive Monte Carlo and variational inference with auxiliary variables. | Alexander K. Lew, Marco F. Cusumano-Towner, Vikash K. Mansinghka |
| 2019 | PLDI | Gen: a general-purpose probabilistic programming system with programmable inference. | Marco F. Cusumano-Towner, Feras A. Saad, Alexander K. Lew, Vikash K. Mansinghka |
| 2018 | PLDI | A design proposal for Gen: probabilistic programming with fast custom inference via code generation. | Marco F. Cusumano-Towner, Vikash K. Mansinghka |
| 2018 | PLDI | Incremental inference for probabilistic programs. | Marco F. Cusumano-Towner, Benjamin Bichsel, Timon Gehr, Martin T. Vechev, Vikash K. Mansinghka |
| 2011 | ICRA | Bringing clothing into desired configurations with limited perception. | Marco F. Cusumano-Towner, Arjun Singh, Stephen Miller, James F. O'Brien, Pieter Abbeel |
| 2010 | ICRA | Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding. | Jeremy Maitin-Shepard, Marco F. Cusumano-Towner, Jinna Lei, Pieter Abbeel |