Pedram Rooshenas

User Manual for Libra 1.1.2d

Pedram, Pedram Rooshenas, 2015 .

Differential Equation Units: Learning Functional Forms of Activation Functions from Data

Amirmohammad Rooshenas, MohamadAli Torkamani, Phillip Wallis, 2019, AAAI.

The Libra toolkit for probabilistic models pdf

Daniel Lowd, Amirmohammad Rooshenas, Daniel Lowd, 2015, J. Mach. Learn. Res..

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models pdf

Mohit Iyyer, Simeng Sun, Andrew McCallum, 2020, ACL.

Reducing the data transmission in Wireless Sensor Networks using the Principal Component Analysis

Hamid R. Rabiee, Ali Movaghar, Amirmohammad Rooshenas, 2010, 2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Search-Guided, Lightly-supervised Training of Structured Prediction Energy Networks

A. McCallum, Dongxu Zhang, Gopal Sharma, 2018, NeurIPS.

Score-Based Multimodal Autoencoders

Pedram Rooshenas, Daniel Wesego, 2023, ArXiv.

Learning Sum-Product Networks with Direct and Indirect Variable Interactions

Daniel Lowd, Amirmohammad Rooshenas, Daniel Lowd, 2014, ICML.

Learning Markov Networks With Arithmetic Circuits

Daniel Lowd, Amirmohammad Rooshenas, Daniel Lowd, 2013, AISTATS.

Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography

T. Khan, Pedram Rooshenas, Thilo Strauss, 2023, ICLR.

Training Structured Prediction Energy Networks with Indirect Supervision

Andrew McCallum, Aishwarya Kamath, Amirmohammad Rooshenas, 2018, NAACL.