Articles with public access mandates - Nicholas RuozziLearn more
Not available anywhere: 3
Personal identifiability and obfuscation of user tracking data from vr training sessions
AG Moore, RP McMahan, H Dong, N Ruozzi
2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2021
Mandates: US National Science Foundation, US Department of Defense
Extracting velocity-based user-tracking features to predict learning gains in a virtual reality training application
AG Moore, RP McMahan, H Dong, N Ruozzi
2020 IEEE international symposium on mixed and augmented reality (ISMAR …, 2020
Mandates: US National Science Foundation, US Department of Defense
Personal identifiability of user tracking data during VR training
AG Moore, RP McMahan, H Dong, N Ruozzi
2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and …, 2021
Mandates: US National Science Foundation, US Department of Defense
Available somewhere: 21
Explainable activity recognition in videos: Lessons learned
C Roy, M Nourani, DR Honeycutt, JE Block, T Rahman, ED Ragan, ...
Applied AI Letters 2 (4), e59, 2021
Mandates: US National Science Foundation, US Department of Defense
Correlated variational auto-encoders
D Tang, D Liang, T Jebara, N Ruozzi
International Conference on Machine Learning (ICML), 2019
Mandates: US National Science Foundation
Bethe learning of graphical models via MAP decoding
K Tang, N Ruozzi, D Belanger, T Jebara
Artificial Intelligence and Statistics, 1096-1104, 2016
Mandates: US National Science Foundation
A lower bound on the partition function of attractive graphical models in the continuous case
N Ruozzi
Artificial Intelligence and Statistics, 1048-1056, 2017
Mandates: US National Science Foundation
Marginal inference in continuous Markov random fields using mixtures
Y Guo, H Xiong, N Ruozzi
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7834-7841, 2019
Mandates: US National Science Foundation, US Department of Defense
Dynamic cutset networks
C Roy, T Rahman, H Dong, N Ruozzi, V Gogate
International Conference on Artificial Intelligence and Statistics, 3106-3114, 2021
Mandates: US National Science Foundation, US Department of Defense
Sparse approximate conic hulls
G Van Buskirk, B Raichel, N Ruozzi
Advances in Neural Information Processing Systems 30, 2017
Mandates: US National Science Foundation, US Department of Defense
Exploration of feature representations for predicting learning and retention outcomes in a vr training scenario
AG Moore, RP McMahan, N Ruozzi
Big Data and Cognitive Computing 5 (3), 29, 2021
Mandates: US National Science Foundation, US Department of Defense
General purpose mrf learning with neural network potentials
H Xiong, N Ruozzi
Proceedings of the Twenty-Ninth International Conference on International …, 2021
Mandates: US Department of Defense
One-shot marginal map inference in Markov random fields
H Xiong, Y Guo, Y Yang, N Ruozzi
Uncertainty in Artificial Intelligence, 102-112, 2020
Mandates: US National Science Foundation, US Department of Defense
Markov random fields, homomorphism counting, and Sidorenko’s conjecture
P Csikvári, N Ruozzi, S Shams
IEEE Transactions on Information Theory 68 (9), 6052-6062, 2022
Mandates: US National Science Foundation, US Department of Defense
Automatic parameter tying: A new approach for regularized parameter learning in markov networks
L Chou, P Sahoo, S Sarkhel, N Ruozzi, V Gogate
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Mandates: US National Science Foundation, US Department of Defense
Efficient inference for untied mlns
S Sarkhel, D Venugopal, N Ruozzi, V Gogate
Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017
Mandates: US National Science Foundation, US Department of Defense
Lifted message passing for hybrid probabilistic inference
Y Chen, N Ruozzi, S Natarajan
IJCAI, 2019
Mandates: US National Science Foundation, US Department of Defense
A new modeling framework for continuous, sequential domains
H Dong, J Amato, V Gogate, N Ruozzi
International Conference on Artificial Intelligence and Statistics, 11118-11131, 2023
Mandates: US National Science Foundation, US Department of Defense
Relational neural markov random fields
Y Chen, S Natarajan, N Ruozzi
International Conference on Artificial Intelligence and Statistics, 8260-8269, 2022
Mandates: US Department of Defense
Conditionally tractable density estimation using neural networks
H Dong, C Roy, T Rahman, V Gogate, N Ruozzi
International Conference on Artificial Intelligence and Statistics, 6933-6946, 2022
Mandates: US National Science Foundation, US Department of Defense
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