Learning Tractable Graphical Models Using Mixture of Arithmetic Circuits. - Amirmohammad Rooshenas; Daniel Lowd (AAAI (Late-Breaking Developments), 2013)

Learning Markov Networks With Arithmetic Circuits. - Daniel Lowd; Amirmohammad Rooshenas (AISTATS, 2013)

Learning Sum-Product Networks with Direct and Indirect Variable Interactions. - Amirmohammad Rooshenas; Daniel Lowd (ICML, 2014)

The Libra toolkit for probabilistic models. - Daniel Lowd; Amirmohammad Rooshenas (J. Mach. Learn. Res., 2015)

Discriminative Structure Learning of Arithmetic Circuits. - Amirmohammad Rooshenas; Daniel Lowd (AAAI, 2016)

Training Structured Prediction Energy Networks with Indirect Supervision. - Amirmohammad Rooshenas; Aishwarya Kamath; Andrew McCallum (NAACL-HLT (2), 2018)

Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks. - Amirmohammad Rooshenas; Dongxu Zhang; Gopal Sharma; Andrew McCallum (NeurIPS, 2019)

Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions. - MohamadAli Torkamani; Phillip Wallis; Shiv Shankar; Amirmohammad Rooshenas (CoRR, 2019)

Differential Equation Units: Learning Functional Forms of Activation Functions from Data. - MohamadAli Torkamani; Shiv Shankar; Amirmohammad Rooshenas; Phillip Wallis (AAAI, 2020)

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models. - Subhajit Naskar; Amirmohammad Rooshenas; Simeng Sun; Mohit Iyyer; Andrew McCallum (CoRR, 2020)

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models. - Sumanta Bhattacharyya; Amirmohammad Rooshenas; Subhajit Naskar; Simeng Sun; Mohit Iyyer; Andrew McCallum (ACL/IJCNLP (1), 2021)

Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography. - Akarsh Pokkunuru; Pedram Rooshenas; Thilo Strauss; Anuj Abhishek; Taufiquar Khan (ICLR, 2023)

Score-Based Multimodal Autoencoders. - Daniel Wesego; Amirmohammad Rooshenas (CoRR, 2023)

Revising Multimodal VAEs with Diffusion Decoders. - Daniel Wesego; Amirmohammad Rooshenas (CoRR, 2024)

Score-Based Multimodal Autoencoder. - Daniel Wesego; Pedram Rooshenas (Trans. Mach. Learn. Res., 2024)

LLM-Driven Feedback for Enhancing Conceptual Design Learning in Database Systems Courses. - Sara Riazi; Pedram Rooshenas (SIGCSE (1), 2025)

Steered Generation via Gradient Descent on Sparse Features. - Sumanta Bhattacharyya; Pedram Rooshenas (CoRR, 2025)