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Relational Neural Markov Random Fields


Oct 18, 2021
Yuqiao Chen, Sriraam Natarajan, Nicholas Ruozzi

* StarAI 2021 workshop on IJCLR 2021 

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Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition


May 05, 2020
Mahsan Nourani, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate


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Lifted Hybrid Variational Inference


Feb 08, 2020
Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi

* AAAI 2020 Workshop on Statistical Relational AI (StarAI 2020) 

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Learning Correlated Latent Representations with Adaptive Priors


Jul 16, 2019
Da Tang, Dawen Liang, Nicholas Ruozzi, Tony Jebara

* 12pages, 2 figures 

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Correlated Variational Auto-Encoders


May 16, 2019
Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi

* International Conference on Machine Learning (ICML), 2019 

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Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization


Jun 14, 2018
Yibo Yang, Nicholas Ruozzi, Vibhav Gogate


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Bethe Learning of Conditional Random Fields via MAP Decoding


Mar 04, 2015
Kui Tang, Nicholas Ruozzi, David Belanger, Tony Jebara

* 19 pages (9 supplementary), 10 figures (3 supplementary) 

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Message-Passing Algorithms for Quadratic Minimization


Dec 02, 2012
Nicholas Ruozzi, Sekhar Tatikonda

* Journal of Machine Learning Research. 14 (Aug) :2287-2314, 2013 

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Message-Passing Algorithms: Reparameterizations and Splittings


Dec 01, 2012
Nicholas Ruozzi, Sekhar Tatikonda

* Information Theory, IEEE Transactions on , vol.59, no.9, pp.5860,5881, Sept. 2013 
* A complete rework and expansion of the previous versions 

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