Articles with public access mandates - Vibhav GogateLearn more
Available somewhere: 34
Probabilistic theorem proving
V Gogate, P Domingos
Communications of the ACM 59 (7), 107-115, 2016
Mandates: US National Science Foundation
SampleSearch: Importance sampling in presence of determinism
V Gogate, R Dechter
Artificial Intelligence 175 (2), 694-729, 2011
Mandates: US National Institutes of Health
Join-graph propagation algorithms
R Mateescu, K Kask, V Gogate, R Dechter
Journal of Artificial Intelligence Research 37, 279-328, 2010
Mandates: US National Institutes of Health
Merging Strategies for Sum-Product Networks: From Trees to Graphs.
T Rahman, V Gogate
UAI, 2016
Mandates: US National Science Foundation
Anchoring bias affects mental model formation and user reliance in explainable AI systems
M Nourani, C Roy, JE Block, DR Honeycutt, T Rahman, E Ragan, ...
Proceedings of the 26th International Conference on Intelligent User …, 2021
Mandates: US National Science Foundation, US Department of Defense
Joint inference for event coreference resolution
J Lu, D Venugopal, V Gogate, V Ng
Proceedings of COLING 2016, the 26th International Conference on …, 2016
Mandates: US National Science Foundation
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
Scalable training of Markov logic networks using approximate counting
S Sarkhel, D Venugopal, T Pham, P Singla, V Gogate
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Mandates: US National Science Foundation
Investigating the importance of first impressions and explainable ai with interactive video analysis
M Nourani, DR Honeycutt, JE Block, C Roy, T Rahman, ED Ragan, ...
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020
Mandates: US Department of Defense
Cutset Bayesian networks: A new representation for learning rao-blackwellised graphical models
T Rahman, S Jin, V Gogate
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
Mandates: US National Science Foundation, US Department of Defense
Domain-size aware Markov logic networks
H Mittal, A Bhardwaj, V Gogate, P Singla
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Mandates: US National Science Foundation, US Department of Defense
Importance sampling-based estimation over and/or search spaces for graphical models
V Gogate, R Dechter
Artificial Intelligence 184, 38-77, 2012
Mandates: US National Institutes of Health
Look ma, no latent variables: Accurate cutset networks via compilation
T Rahman, S Jin, V Gogate
International Conference on Machine Learning, 5311-5320, 2019
Mandates: US National Science Foundation, US Department of Defense
Algorithms for the Nearest Assignment Problem.
S Rouhani, T Rahman, V Gogate
IJCAI, 5096-5102, 2018
Mandates: US National Science Foundation, US Department of Defense
On the importance of user backgrounds and impressions: Lessons learned from interactive AI applications
M Nourani, C Roy, JE Block, DR Honeycutt, T Rahman, ED Ragan, ...
ACM Transactions on Interactive Intelligent Systems 12 (4), 1-29, 2022
Mandates: US National Science Foundation, US Department of Defense
A novel approach for constrained optimization in graphical models
S Rouhani, T Rahman, V Gogate
Advances in Neural Information Processing Systems 33, 11949-11960, 2020
Mandates: US National Science Foundation, US Department of Defense
Novel upper bounds for the constrained most probable explanation task
T Rahman, S Rouhani, V Gogate
Advances in Neural Information Processing Systems 34, 9613-9624, 2021
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
Fine grained weight learning in markov logic networks
H Mittal, SS Singh, V Gogate, P Singla
Proc. of IJCAI-16 Wkshp. on Statistical Relational AI, 2016
Mandates: US National Science Foundation
Robust learning of tractable probabilistic models
R Peddi, T Rahman, V Gogate
Uncertainty in Artificial Intelligence, 1572-1581, 2022
Mandates: US National Science Foundation, US Department of Defense
Publication and funding information is determined automatically by a computer program