| 2021 | ACL | Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models. | Sumanta Bhattacharyya, Amirmohammad Rooshenas, Subhajit Naskar, Simeng Sun, Mohit Iyyer, Andrew McCallum |
| 2020 | AAAI | Differential Equation Units: Learning Functional Forms of Activation Functions from Data. | MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis |
| 2018 | NAACL | Training Structured Prediction Energy Networks with Indirect Supervision. | Amirmohammad Rooshenas, Aishwarya Kamath, Andrew McCallum |
| 2016 | AAAI | Discriminative Structure Learning of Arithmetic Circuits. | Amirmohammad Rooshenas, Daniel Lowd |
| 2016 | AISTATS | Discriminative Structure Learning of Arithmetic Circuits. | Amirmohammad Rooshenas, Daniel Lowd |
| 2014 | ICML | Learning Sum-Product Networks with Direct and Indirect Variable Interactions. | Amirmohammad Rooshenas, Daniel Lowd |
| 2013 | AAAI | Learning Tractable Graphical Models Using Mixture of Arithmetic Circuits. | Amirmohammad Rooshenas, Daniel Lowd |
| 2013 | AISTATS | Learning Markov Networks With Arithmetic Circuits. | Daniel Lowd, Amirmohammad Rooshenas |