Research Articles

(Publications listed in alphabetical order by first author's last name)

To add your publication to this list, please email Keaton Hamm with the full citation as below and a link to the published version of the paper.

1. Ahmed, R., Angelini, P., Sahneh, F., Efrat, A., Glickenstein, D., Gronemann, M., Heinsohn, N., Kobourov, S., Spence, R., Watkins, J., Wolff, A., Multi-Level Steiner Trees. 17th Symposium on Experimental Algorithms (SEA), 2018.
2. Berger, M., Nagesh, A., Levine, J., Surdeanu, M., Zhang, H. Visual Supervision in Bootstrapped Information Extraction. To Appear in Empirical Methods in Natural Language Processing.
3. Brau, E., Guan, J., Jeffries, T., Barnard, K. Stereo gaze: Inferring who is looking where in 3D from monocular video. European Conference on Computer Vision (ECCV) 2018, pp. 612-630.
4. Davis, E., Sethuraman, S. Approximating geodesics via random points. To Appear in Annals of Applied Probability.
5. Davis, E., & Sethuraman, S. Consistency of modularity clustering on random geometric graphs. To Appear in Annals of Applied Probability.
6. Dawson, C. R., Huang, C. R., Morrison, C. T. An Infinite Hidden Markov Model with Similarity-biased Transitions. Proceedings of the Thirty-Fourth International Conference on Machine Learning (ICML).
7. Faust, R., Glickenstein, D., Scheidegger, C. DimReader: Axis lines that explain non-linear projections. To Appear in IEEE Transactions on Visualization and Computer Graphics.
8. Jansen, P. A., Wainwright, E., Marmorstein, S., Morrison, C. T. WorldTree: A corpus of explanation graphs for elementary science questions. Proceedings of the Eleventh Edition of the Language Resources and Evaluation Conference (LREC).
9. Jaramillo, G., Venkataramani, S. Target Waves in a 2-d Array of Oscillators with Nonlocal Coupling. Nonlinearity, Vol 31 (2018), pp. 4162-4201.
10. Kawano, D.T., Salsa Jr., R.G., Ma, F., Morzfeld, M. A canonical form of the equation of motion of linear dynamical systems. Proceedings of the Royal Society A, Vol 474, Issue 2211, 2018.
11. Leach, A., Lin, K., & Morzfeld, M. Symmetrized importance samplers for stochastic differential equations. Communications in Applied Mathematics and Computational Science, Vol 13 No 2 (2018).
12. Lega, J., Sethuraman, S., & Young, A. On collision times of self-sorting interacting particles in one-dimension with random initial positions and velocities. To Appear in Journal of Statistical Physics.
13. Li, W., Yin, J., Chen, H. (2018). Supervised topic modeling using hierarchical Dirichlet process based inverse regression: Experiments on e-commerce applications. IEEE Transactions on Knowledge and Data Engineering, Vol 30, Issue 6 (2018), pp. 1192 - 1205.
14. Liu, J., Piegorsch, W. W., Schissler, A. G., Cutter, S. L. Autologistic models for benchmark risk or vulnerability assessment of urban terrorism outcomes. Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol 131, Part 3 (2018), pp.803-823.
15. Lorenzo, A.T., Morzfeld, M., Holmgren, W.F., Cronin, A. Optimal interpolation of satellite and ground data for irradiance nowcasting at city scales. Solar Energy, Vol 141 (2017), pp. 466-474.
16. Moghimi, S., Ramirez, J., Restrepo, J., Venkataramani, S. Mass Exchange Dynamics of Surface and Subsurface Oil in Shallow-Water Transport. To Appear in Ocean Modeling.
17. Morzfeld, M., & Hodyss, D. (2018). What the collapse of the ensemble Kalman filter tells us about particle filters. Tellus A: Dynamic Meteorology and Oceanography, Vol 69, Issue 1 (2017).
18. Morzfeld, M., Adams, J., Lunderman, S., & Orozco, R. Feature-based data assimilation in geophysics. Nonlinear Processes in Geophysics, Vol 25 (2018), pp. 355-374.
19. Morzfeld, M., Day, M. S., Grout, R. W., Pau, G. S. H., Finsterle, S. A., Bell, J.B. Iterative Importance Sampling Algorithms for Parameter Estimation. SIAM Journal on Scientific Computing, Vol 40, Issue 2 (2018), pp. B329–B352.
20. Morzfeld, M., Fournier, A., Hulot, G. Coarse predictions of dipole reversals by low dimensional modeling and data assimilation. Physics of Earth and Physics of Earth and Planetary Interiors, Vol 262 (2017), pp. 8-27.
21. Morzfeld, M., Hodyss, D., Poterjoy, J. Variational particle smoothers and their localization. Quarterly Journal of the Royal Meteorological Society, Vol 144, Issue 712 (2017), pp. 806-825.
22. Newell, A., Venkataramani, S. Elastic sheets, phase surfaces and pattern universes. Studies in Applied Mathematics, Vol 139, Issue 2 (2017), pp. 322-368
23. Niu, Y., Hao, N. Zhang, H. H. Interaction screening by partial correlation. Statistics and Its Interface, Vol 11, No 2 (2018), pp. 317-325.
24. Noriega-Atala, E., Valenzuela-Escárcega, M. A., Morrison, C. T., Surdeanu, M. Learning what to read: Focused machine reading. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
25. Piegorsch, W. W. Are p-values under attack? Contribution to the discussion of ‘A critical evaluation of the current “p-value controversy”’. Biometrical Journal, Vol 59, Issue 5, (2017) pp. 889-891.
26. Piegorsch, W. W. Dispersion parameter. Wiley StatsRef: Statistics Reference Online (2017).
27. Rao, P., Katib, A., Barnard, K., Kamhoua, C., Kwiat, K., Njilla, L. Scalable Score Computation for Learning Multinomial Bayesian Networks over Distributed Data. AAAI Workshop on Distributed Machine Learning, 2017.
28. Savage, R., Palafox, L. F., Morrison, C. T., Rodriguez, J. J., Barnard, K., Byrne, S., & Hamilton, C. W. A Bayesian approach to sub-kilometer crater analysis using individual HiRISE images. IEEE Transactions on Geoscience and Remote Sensing, In Press.
29. Schissler, A.G., Piegorsch, W. W., & Lussier, Y. A. Testing for differentially expressed genetic pathways with single-subject N-of-1 data in the presence of inter-gene correlation. Statistical Methods in Medical Research 2017.
30. S. Sethuraman, S.C. Venkataramani, On the asymptotic growth of a superlinear preferential attachment scheme. To Appear in Springer Volume in honor of SRS Varadhan's 75th birthday.
31. Shao, J., Liao, W., Liang, R., & Barnard, K. Resolution enhancement for fiber bundle imaging using maximum a posteriori estimation. Optics Letters, Vol 43, Issue 8 (2018), 1906-1909.
32. Valenzuela-Escárcega, M. A., Babur, Ö., Hahn-Powell, G., Bell, D., Hicks, T., Noriega-Atala, E., Wang, X., Surdeanu, M., Demir, E., Morrison, C. T. (2018). Large-scale Automated Reading with Reach Discovers New Cancer Driving Mechanisms. Proceedings of the Sixth BioCreative Challenge Evaluation Workshop, 2017, pp. 201-203.
33. Venkataramani, S., Venkataramani, R., Restrepo, J. Dimension Reduction for Systems with Slow Relaxation. Journal of Statistical Physics, Vol 167, Issue 3-4 (2017), pp. 892-933.
34. Zhang, H. H. Discussion on “Doubly sparsity kernel learning with automatic variable selection and data extraction”. To Appear in Statistics and Its Interface.
35. Zhang, H. H. Nonparametric methods for big data analytics. In Handbook of Big Data Analytics, eds. Hardle, Lu, and Shen, Springer, 2018, pp. 103-124.