| Fast collapsed gibbs sampling for latent dirichlet allocation I Porteous, D Newman, A Ihler, A Asuncion, P Smyth, M Welling Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 828 | 2008 |
| Nonparametric belief propagation for self-calibration in sensor networks AT Ihler, JW Fisher III, RL Moses, AS Willsky Proceedings of the 3rd international symposium on Information processing in …, 2004 | 806 | 2004 |
| Nonparametric belief propagation and facial appearance estimation EB Sudderth, AT Ihler, WT Freeman, AS Willsky | 595 | 2002 |
| Loopy belief propagation: convergence and effects of message errors. AT Ihler, JW Fisher III, AS Willsky, DM Chickering Journal of Machine Learning Research 6 (5), 2005 | 441 | 2005 |
| Variational inference for crowdsourcing Q Liu, J Peng, AT Ihler Advances in neural information processing systems 25, 2012 | 424 | 2012 |
| Adaptive event detection with time-varying poisson processes A Ihler, J Hutchins, P Smyth Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 374 | 2006 |
| Nonparametric belief propagation EB Sudderth, AT Ihler, M Isard, WT Freeman, AS Willsky Communications of the ACM 53 (10), 95-103, 2010 | 344 | 2010 |
| Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and susceptibility to UVB-induced DNA damage in the epidermis M Geyfman, V Kumar, Q Liu, R Ruiz, W Gordon, F Espitia, E Cam, ... Proceedings of the National Academy of Sciences 109 (29), 11758-11763, 2012 | 285 | 2012 |
| Distributed fusion in sensor networks M Cetin, L Chen, JW Fisher, AT Ihler, RL Moses, MJ Wainwright, ... IEEE Signal Processing Magazine 23 (4), 42-55, 2006 | 246 | 2006 |
| Circadian clock genes contribute to the regulation of hair follicle cycling KK Lin, V Kumar, M Geyfman, D Chudova, AT Ihler, P Smyth, R Paus, ... PLoS genetics 5 (7), e1000573, 2009 | 200 | 2009 |
| Particle belief propagation A Ihler, D McAllester Artificial intelligence and statistics, 256-263, 2009 | 183 | 2009 |
| A deep neural network modeling framework to reduce bias in satellite precipitation products Y Tao, X Gao, K Hsu, S Sorooshian, A Ihler Journal of Hydrometeorology 17 (3), 931-945, 2016 | 156 | 2016 |
| Efficient multiscale sampling from products of Gaussian mixtures A Ihler, E Sudderth, W Freeman, A Willsky Advances in Neural Information Processing Systems 16, 2003 | 115 | 2003 |
| Learning Scale Free Networks by Reweighted regularization Q Liu, A Ihler Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 107 | 2011 |
| Time-restricted feeding shifts the skin circadian clock and alters UVB-induced DNA damage H Wang, E van Spyk, Q Liu, M Geyfman, ML Salmans, V Kumar, A Ihler, ... Cell reports 20 (5), 1061-1072, 2017 | 103 | 2017 |
| Bounding the Partition Function using Holder's Inequality. Q Liu, A Ihler ICML, 849-856, 2011 | 92 | 2011 |
| Variational algorithms for marginal MAP Q Liu, A Ihler | 90 | 2013 |
| A two-stage deep neural network framework for precipitation estimation from bispectral satellite information Y Tao, K Hsu, A Ihler, X Gao, S Sorooshian Journal of Hydrometeorology 19 (2), 393-408, 2018 | 89 | 2018 |
| Fast planar correlation clustering for image segmentation J Yarkony, A Ihler, CC Fowlkes Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 89 | 2012 |
| Learning to detect events with markov-modulated poisson processes A Ihler, J Hutchins, P Smyth ACM Transactions on Knowledge Discovery from Data (TKDD) 1 (3), 13-es, 2007 | 86 | 2007 |
Qiang LiuAssociate Professor of Computer Science, UT Austincs.utexas.edu의 이메일 확인됨