Pedram Rooshenas
Pedram Rooshenas
Verified email at uncc.edu - Homepage
Title
Cited by
Cited by
Year
Learning Sum-Product Networks with Direct and Indirect Variable Interactions
A Rooshenas, D Lowd
ICML'14, 2014
1362014
Learning Sum-Product Networks with Direct and Indirect Variable Interactions
A Rooshenas, D Lowd
Thirty-First International Conference on Machine Learning (ICML 14), 2014
1282014
Learning Markov Networks with Arithmetic Circuits
D Lowd, A Rooshenas
AISTATS'13, 2013
652013
Reducing Data Transmission in Wireless Sensor Networks Using Principal Component Analysis
A Rooshenas, HR Rabiee, A Movaghar, MY Naderi
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP …, 2010
572010
The Libra Toolkit for Probabilistic Models
D Lowd, A Rooshenas
Journal of Machine Learning Research 16, 2459-2463, 2015
312015
Discriminative Structure Learning of Arithmetic Circuits
A Rooshenas, D Lowd
AISTATS'16, 2016
102016
Learning tractable graphical models using mixture of arithmetic circuits
A Rooshenas, D Lowd
Proceedings of the 17th AAAI Conference on Late-Breaking Developments in the …, 2013
62013
Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions
MA Torkamani, P Wallis, S Shankar, A Rooshenas
ICML Workshop on On-Device ML and Compact Deep Neural Networks (ODML-CDNNR2019), 2019
32019
Training Structured Prediction Energy Networks with Indirect Supervision
A Rooshenas, A Kamath, A McCallum
HLT-NAACL, 2018
32018
User Manual for Libra 1.1. 2d
D Lowd, A Rooshenas
12015
Differential Equation Units: Learning Functional Forms of Activation Functions from Data
MA Torkamani, S Shankar, A Rooshenas, P Wallis
AAAI'20, 2019
2019
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks
A Rooshenas, D Zhang, G Sharma, A McCallum
NeurIPS'19, 2019
2019
Learning Tractable Graphical Models
A Rooshenas
University of Oregon, 2017
2017
Supplementary Material for Discriminative Structure Learning of Arithmetic Circuits
A Rooshenas, D Lowd
Supplementary Material for Learning Sum-Product Networks with Direct and Indirect Variable Interactions
A Rooshenas, U EDU, D Lowd
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