Mathematics : Publications since January 2018
List all publications in the database. :chronological alphabetical combined bibtex listing:
Agarwal, Pankaj K.
 Agarwal, PK; Kaplan, H; Kipper, G; Mulzer, W; Rote, G; Sharir, M; Xiao, A, Approximate minimumweight matching with outliers under translation,
Leibniz International Proceedings in Informatics, Lipics, vol. 123
(December, 2018), ISBN 9783959770941 [doi] [abs]
 Lowe, A; Agarwal, PK, Floodrisk analysis on terrains under the multiflowdirection model,
Gis: Proceedings of the Acm International Symposium on Advances in Geographic Information Systems
(November, 2018),
pp. 5362, ACM Press, ISBN 9781450358897 [doi] [abs]
 Agarwal, PK; Kyle, FOX; Salzman, O, An efficient algorithm for computing highquality paths amid polygonal obstacles,
Acm Transactions on Algorithms, vol. 14 no. 4
(August, 2018),
pp. 121, Association for Computing Machinery (ACM) [doi] [abs]
 Agarwal, PK; Kaplan, H; Sharir, M, Union of hypercubes and 3D minkowski sums with random sizes,
Leibniz International Proceedings in Informatics, Lipics, vol. 107
(July, 2018), ISBN 9783959770767 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Rangemax queries on uncertain data,
Journal of Computer and System Sciences, vol. 94
(June, 2018),
pp. 118134, Elsevier BV [doi] [abs]
 Agarwal, PK; Arge, L; Staals, F, Improved dynamic geodesic nearest neighbor searching in a simple polygon,
Leibniz International Proceedings in Informatics, Lipics, vol. 99
(June, 2018),
pp. 41414 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Computing shortest paths in the plane with removable obstacles,
Leibniz International Proceedings in Informatics, Lipics, vol. 101
(June, 2018),
pp. 51515, ISBN 9783959770682 [doi] [abs]
 Agarwal, PK; Kyle, FOX; Nath, A; Sidiropoulos, A; Wang, Y, Computing the gromovhausdorff distance for metric trees,
Acm Transactions on Algorithms, vol. 14 no. 2
(June, 2018),
pp. 120, Association for Computing Machinery (ACM) [doi] [abs]
 Agarwal, PK; Fox, K; Munagala, K; Nath, A; Pan, J; Taylor, E, Subtrajectory clustering: Models and algorithms,
Proceedings of the Acm Sigact Sigmod Sigart Symposium on Principles of Database Systems
(May, 2018),
pp. 7587, ACM Press, ISBN 9781450347068 [doi] [abs]
 Gao, J; Agarwal, PK; Yang, J, Durable topk queries on temporal data,
Proceedings of the Vldb Endowment, vol. 11 no. 13
(January, 2018),
pp. 22232235 [doi] [abs]
 Agarwal, PK; Fox, K; Nath, A, Maintaining reeb graphs of triangulated 2manifolds,
Leibniz International Proceedings in Informatics, Lipics, vol. 93
(January, 2018), ISBN 9783959770552 [doi] [abs]
Agazzi, Andrea
 Agazzi, A; Dembo, A; Eckmann, JP, On the Geometry of Chemical Reaction Networks: Lyapunov Function and Large Deviations,
Journal of Statistical Physics, vol. 172 no. 2
(July, 2018),
pp. 321352 [doi] [abs]
 Agazzi, A; Dembo, A; Eckmann, JP, Large deviations theory for markov jump models of chemical reaction networks,
The Annals of Applied Probability, vol. 28 no. 3
(June, 2018),
pp. 18211855 [doi] [abs]
Arlotto, Alessandro
 Arlotto, A; Wei, Y; Xie, X, An adaptive O(log n)optimal policy for the online selection of a monotone subsequence from a random sample,
Random Structures & Algorithms, vol. 52 no. 1
(January, 2018),
pp. 4153, WILEY [doi] [abs]
 Arlotto, A; Xie, X, Logarithmic regret in the dynamic and stochastic knapsack problem.,
Corr, vol. abs/1809.02016
(2018)
 Arlotto, A; Frazelle, AE; Wei, Y, Strategic open routing in service networks,
Management Science
(2018), INFORMS
 Arlotto, A; Steele, JM, A central limit theorem for costs in Bulinskaya’s inventory management problem when deliveries face delays,
Methodology and Computing in Applied Probability, vol. 20 no. 3
(2018),
pp. 839854 [doi] [abs]
Autry, Eric A.
 Clifton, SM; Hill, K; Karamchandani, AJ; Autry, EA; McMahon, P; Sun, G, Mathematical model of gender bias and homophily in professional hierarchies.,
Chaos (Woodbury, N.Y.), vol. 29 no. 2
(February, 2019),
pp. 023135 [doi] [abs]
 Autry, EA; Bayliss, A; Volpert, VA, Biological control with nonlocal interactions.,
Mathematical Biosciences, vol. 301
(July, 2018),
pp. 129146 [doi] [abs]
Beale, J. Thomas
 Tlupova, S; Beale, JT, Regularized single and double layer integrals in 3D Stokes flow,
Journal of Computational Physics, vol. 386
(June, 2019),
pp. 568584 [doi] [abs]
 Beale, JT; Ying, W, Solution of the Dirichlet problem by a finite difference analog of the boundary integral equation,
Numerische Mathematik, vol. 141 no. 3
(March, 2019),
pp. 605626 [doi] [abs]
Beckman, Erin
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M; Nolen, J, Block size in geometric(P)biased permutations,
Electronic Communications in Probability, vol. 23
(January, 2018) [doi] [abs]
Bendich, Paul L
 Garagić, D; Peskoe, J; Liu, F; Claffey, MS; Bendich, P; Hineman, J; Borggren, N; Harer, J; Zulch, P; Rhodes, BJ, Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration,
Ieee Aerospace Conference Proceedings, vol. 2018March
(June, 2018),
pp. 18, IEEE, ISBN 9781538620144 [doi] [abs]
 Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric crossmodal comparison of heterogeneous sensor data,
Ieee Aerospace Conference Proceedings, vol. 2018March
(June, 2018),
pp. 110, IEEE [doi] [abs]
Bertozzi, Andrea L
 J. B. Greer and A. L. Bertozzi, H1 solutions of a class of fourth order nonlinear equations for image processing,
Discrete And Continuous Dynamical Systems, vol. 10 no. 12
(2004),
pp. 349  366
Bray, Hubert
 Sormani, C; Bray, HL; Minicozzi, WP; Eichmair, M; Huang, LH; Yau, ST; Uhlenbeck, K; Kusner, R; Codá marques, F; Mese, C; Fraser, A, The Mathematics of Richard Schoen,
Notices of the American Mathematical Society, vol. 65 no. 11
(December, 2018),
pp. 11, American Mathematical Society (AMS) [doi]
 Bray, H; Roesch, H, Proof of a Null Geometry Penrose Conjecture,
Notices of the American Mathematical Society., vol. 65
(February, 2018), American Mathematical Society
Calderbank, Robert
 Thompson, A; Calderbank, R, Sparse nearequiangular tight frames with applications in full duplex wireless communication,
2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018January
(March, 2018),
pp. 868872, IEEE, ISBN 9781509059904 [doi] [abs]
Cao, Yu
 Cao, Y; Lu, J, Stochastic dynamical lowrank approximation method,
Journal of Computational Physics, vol. 372
(November, 2018),
pp. 564586, Elsevier BV [doi] [abs]
Cheng, Cheng
 Cheng, C; Jiang, Y; Sun, Q, Spatially distributed sampling and reconstruction,
Applied and Computational Harmonic Analysis, vol. 47 no. 1
(July, 2019),
pp. 109148, Elsevier BV [doi]
Cheng, Xiuyuan
 Cheng, X; Rachh, M; Steinerberger, S, On the diffusion geometry of graph Laplacians and applications,
Applied and Computational Harmonic Analysis, vol. 46 no. 3
(May, 2019),
pp. 674688, Elsevier BV [doi]
 Cheng, X; Mishne, G; Steinerberger, S, The geometry of nodal sets and outlier detection,
Journal of Number Theory, vol. 185
(April, 2018),
pp. 4864, Elsevier BV [doi]
 Qiu, Q; Cheng, X; Calderbank, AR; Sapiro, G, DCFNet: Deep Neural Network with Decomposed Convolutional Filters., edited by Dy, JG; Krause, A,
Icml, vol. 80
(2018),
pp. 41954204, PMLR
Cruz, Joshua
 Cruz, J; Giusti, C; Itskov, V; Kronholm, B, On Open and Closed Convex Codes,
Discrete & Computational Geometry, vol. 61 no. 2
(March, 2019),
pp. 247270, Springer Nature [doi]
Dasgupta, Samit
 Dasgupta, S; Kakde, M; Ventullo, K, On the GrossStark Conjecture,
Annals of Mathematics, vol. 188 no. 3
(November, 2018),
pp. 833870, Annals of Mathematics, Princeton U [doi] [abs]
 Dasgupta, S; Voight, J, Sylvester’s problem and mock heegner points,
Proceedings of the American Mathematical Society, vol. 146 no. 8
(January, 2018),
pp. 32573273, American Mathematical Society (AMS) [doi] [abs]
 Dasgupta, S; Spieß, M, Partial zeta values, Gross's tower of fields conjecture, and GrossStark units,
Journal of the European Mathematical Society, vol. 20 no. 11
(January, 2018),
pp. 26432683, European Mathematical Publishing House [doi] [abs]
Daubechies, Ingrid
 Shan, S; Kovalsky, SZ; Winchester, JM; Boyer, DM; Daubechies, I, ariaDNE: A robustly implemented algorithm for Dirichlet energy of the normal,
Methods in Ecology and Evolution, vol. 10 no. 4
(April, 2019),
pp. 541552 [doi] [abs]
 Zhu, W; Qiu, Q; Huang, J; Calderbank, R; Sapiro, G; Daubechies, I, LDMNet: Low Dimensional Manifold Regularized Neural Networks,
Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition
(December, 2018),
pp. 27432751 [doi] [abs]
 Yin, R; Daubechies, I, Directional Wavelet Bases Constructions with Dyadic Quincunx Subsampling,
Journal of Fourier Analysis and Applications, vol. 24 no. 3
(June, 2018),
pp. 872907, Springer Nature [doi] [abs]
 Gao, T; Yapuncich, GS; Daubechies, I; Mukherjee, S; Boyer, DM, Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation.,
Anatomical Record (Hoboken, N.J. : 2007), vol. 301 no. 4
(April, 2018),
pp. 636658 [doi] [abs]
 Xu, J; Yang, H; Daubechies, I, Recursive diffeomorphismbased regression for shape functions,
Siam Journal on Mathematical Analysis, vol. 50 no. 1
(January, 2018),
pp. 532, Society for Industrial & Applied Mathematics (SIAM) [doi] [abs]
 Alaifari, R; Daubechies, I; Grohs, P; Yin, R, Stable Phase Retrieval in Infinite Dimensions,
Foundations of Computational Mathematics
(January, 2018), Springer Nature America, Inc [doi] [abs]
Dolbow, John E.
 Geelen, RJM; Liu, Y; Hu, T; Tupek, MR; Dolbow, JE, A phasefield formulation for dynamic cohesive fracture,
Computer Methods in Applied Mechanics and Engineering, vol. 348
(May, 2019),
pp. 680711 [doi] [abs]
 Asareh, I; Kim, TY; Song, JH; Dolbow, JE, Corrigendum to “A linear complete extended finite element method for dynamic fracture simulation with nonnodal enrichments” [Finite Elem. Anal. Des. 152, 2018](S0168874X18305080)(10.1016/j.finel.2018.09.002),
Finite Elements in Analysis and Design, vol. 157
(May, 2019),
pp. 50 [doi] [abs]
 Liu, Y; Peco, C; Dolbow, J, A fully coupled mixed finite element method for surfactants spreading on thin liquid films,
Computer Methods in Applied Mechanics and Engineering, vol. 345
(March, 2019),
pp. 429453, Elsevier BV [doi] [abs]
 Peco, C; Liu, Y; Rhea, C; Dolbow, JE, Models and simulations of surfactantdriven fracture in particle rafts,
International Journal of Solids and Structures, vol. 156157
(January, 2019),
pp. 194209, Elsevier BV [doi] [abs]
 Geelen, RJM; Liu, Y; Dolbow, JE; RodríguezFerran, A, An optimizationbased phasefield method for continuousdiscontinuous crack propagation,
International Journal for Numerical Methods in Engineering, vol. 116 no. 1
(October, 2018),
pp. 120, WILEY [doi] [abs]
 Zhang, Z; Jiang, W; Dolbow, JE; Spencer, BW, A modified momentfitted integration scheme for XFEM applications with historydependent material data,
Computational Mechanics, vol. 62 no. 2
(August, 2018),
pp. 233252, Springer Nature [doi] [abs]
Dunson, David B.
(search)
 Zhang, Z; Allen, GI; Zhu, H; Dunson, D, Tensor network factorizations: Relationships between brain structural connectomes and traits.,
Neuroimage, vol. 197
(April, 2019),
pp. 330343 [doi] [abs]
 Wang, L; Zhang, Z; Dunson, D, Symmetric Bilinear Regression for Signal Subgraph Estimation,
Ieee Transactions on Signal Processing, vol. 67 no. 7
(April, 2019),
pp. 19291940 [doi] [abs]
 Zhang, Z; Descoteaux, M; Dunson, DB, Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions,
Journal of the American Statistical Association
(January, 2019) [doi] [abs]
 Wang, L; Zhang, Z; Dunson, D, Common and individual structure of brain networks,
The Annals of Applied Statistics, vol. 13 no. 1
(January, 2019),
pp. 85112 [doi] [abs]
 Niu, M; Cheung, P; Lin, L; Dai, Z; Lawrence, N; Dunson, D, Intrinsic Gaussian processes on complex constrained domains,
Journal of the Royal Statistical Society: Series B (Statistical Methodology)
(January, 2019) [doi] [abs]
 Canale, A; Durante, D; Dunson, DB, Convex mixture regression for quantitative risk assessment.,
Biometrics, vol. 74 no. 4
(December, 2018),
pp. 13311340 [doi] [abs]
 Sarkar, A; Chabout, J; Macopson, JJ; Jarvis, ED; Dunson, DB, Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax,
Journal of the American Statistical Association, vol. 113 no. 524
(October, 2018),
pp. 15151527, Informa UK Limited [doi] [abs]
 Zhao, S; Engelhardt, BE; Mukherjee, S; Dunson, DB, Fast Moment Estimation for Generalized Latent Dirichlet Models,
Journal of the American Statistical Association, vol. 113 no. 524
(October, 2018),
pp. 15281540 [doi] [abs]
 Duan, LL; Johndrow, JE; Dunson, DB, Scaling up data augmentation MCMC via calibration,
Journal of Machine Learning Research, vol. 19
(October, 2018) [abs]
 Srivastava, S; Li, C; Dunson, DB, Scalable Bayes via barycenter in Wasserstein space,
Journal of Machine Learning Research, vol. 19
(August, 2018),
pp. 135 [abs]
 Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian Conditional Density Filtering,
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 27 no. 3
(July, 2018),
pp. 657672, Informa UK Limited [doi] [abs]
 van den Boom, W; Mao, C; Schroeder, RA; Dunson, DB, Extremaweighted feature extraction for functional data.,
Bioinformatics (Oxford, England), vol. 34 no. 14
(July, 2018),
pp. 24572464 [doi] [abs]
 Shterev, ID; Dunson, DB; Chan, C; Sempowski, GD, Bayesian MultiPlate HighThroughput Screening of Compounds.,
Scientific Reports, vol. 8 no. 1
(June, 2018),
pp. 9551 [doi] [abs]
 Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage.,
Biometrika, vol. 105 no. 2
(June, 2018),
pp. 431446 [doi] [abs]
 Dunson, DB, Statistics in the big data era: Failures of the machine,
Statistics & Probability Letters, vol. 136
(May, 2018),
pp. 49, Elsevier BV [doi] [abs]
 Zhang, Z; Descoteaux, M; Zhang, J; Girard, G; Chamberland, M; Dunson, D; Srivastava, A; Zhu, H, Mapping populationbased structural connectomes.,
Neuroimage, vol. 172
(May, 2018),
pp. 130145 [doi] [abs]
 van den Boom, W; Schroeder, RA; Manning, MW; Setji, TL; Fiestan, GO; Dunson, DB, Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries.,
Diabetes Care, vol. 41 no. 4
(April, 2018),
pp. 782788 [doi] [abs]
 Bertrán, MA; Martínez, NL; Wang, Y; Dunson, D; Sapiro, G; Ringach, D, Active learning of cortical connectivity from twophoton imaging data.,
Plos One, vol. 13 no. 5
(January, 2018),
pp. e0196527 [doi] [abs]
 Miller, JW; Dunson, DB, Robust Bayesian Inference via Coarsening,
Journal of the American Statistical Association
(January, 2018),
pp. 113, Informa UK Limited [doi] [abs]
 Johndrow, JE; Smith, A; Pillai, N; Dunson, DB, MCMC for Imbalanced Categorical Data,
Journal of the American Statistical Association
(January, 2018) [doi] [abs]
 Durante, D; Dunson, DB, Bayesian inference and testing of group differences in brain networks,
Bayesian Analysis, vol. 13 no. 1
(January, 2018),
pp. 2958, Institute of Mathematical Statistics [doi] [abs]
Durrett, Richard T.
 Cristali, I; Junge, M; Durrett, R, Poisson percolation on the oriented square lattice,
Stochastic Processes and Their Applications
(January, 2019) [doi] [abs]
 Wang, Z; Durrett, R, Extrapolating weak selection in evolutionary games.,
Journal of Mathematical Biology, vol. 78 no. 12
(January, 2019),
pp. 135154 [doi] [abs]
 Ma, R; Durrett, R, A simple evolutionary game arising from the study of the role of igfII in pancreatic cancer,
The Annals of Applied Probability, vol. 28 no. 5
(October, 2018),
pp. 28962921, Institute of Mathematical Statistics [doi] [abs]
 Talkington, A; Dantoin, C; Durrett, R, Ordinary Differential Equation Models for Adoptive Immunotherapy.,
Bulletin of Mathematical Biology, vol. 80 no. 5
(May, 2018),
pp. 10591083 [doi] [abs]
 Huo, R; Durrett, R, Latent voter model on locally treelike random graphs,
Stochastic Processes and Their Applications, vol. 128 no. 5
(May, 2018),
pp. 15901614, Elsevier BV [doi] [abs]
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Basak, A; Durrett, R; Foxall, E, Diffusion limit for the partner model at the critical value,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M; Nolen, J, Block size in geometric(P)biased permutations,
Electronic Communications in Probability, vol. 23
(January, 2018),
pp. 110, Institute of Mathematical Statistics [doi] [abs]
Dym, Nadav
 Dym, N; Slutsky, R; Lipman, Y, Linear variational principle for Riemann mappings and discrete conformality.,
Proceedings of the National Academy of Sciences of the United States of America, vol. 116 no. 3
(January, 2019),
pp. 732737 [doi] [abs]
 Lazar, R; Dym, N; Kushinsky, Y; Huang, Z; Ju, T; Lipman, Y, Robust optimization for topological surface reconstruction,
Acm Transactions on Graphics, vol. 37 no. 4
(January, 2018),
pp. 110, Association for Computing Machinery (ACM) [doi] [abs]
Freeman, Daniel
 Freeman, D; Odell, E; Sarı, B; Zheng, B, On spreading sequences and asymptotic structures,
Transactions of the American Mathematical Society, vol. 370 no. 10
(April, 2018),
pp. 69336953, American Mathematical Society (AMS) [doi]
Getz, Jayce R.
 Getz, JR; Liu, B, A summation formula for triples of quadratic spaces,
Advances in Mathematics, vol. 347
(April, 2019),
pp. 150191 [doi] [abs]
 Getz, JR, Secondary terms in asymptotics for the number of zeros of quadratic forms over number fields,
Journal of the London Mathematical Society, vol. 98 no. 2
(October, 2018),
pp. 275305, WILEY [doi] [abs]
 Getz, JR, Nonabelian fourier transforms for spherical representations,
Pacific Journal of Mathematics, vol. 294 no. 2
(January, 2018),
pp. 351373, Mathematical Sciences Publishers [doi] [abs]
Gu, Miao (Pam)
 Gu, M; Martin, G, Factorization Tests and Algorithms Arising from Counting Modular Forms and Automorphic Representations,
Canadian Mathematical Bulletin, vol. 62 no. 1
(March, 2019),
pp. 8197, Canadian Mathematical Society [doi] [abs]
Hahn, Heekyoung
 Hahn, H; Huh, J; Lim, E; Sohn, J, From partition identities to a combinatorial approach to explicit Satake inversions,
Annals of Combinatorics, vol. 22
(June, 2018),
pp. 543562, Springer Verlag [doi]
Hain, Richard
(search)
 Brown, F; Hain, R, Algebraic de Rham theory for weakly holomorphic modular forms of level one,
Algebra & Number Theory, vol. 12 no. 3
(January, 2018),
pp. 723750 [doi] [abs]
Harer, John
 Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric crossmodal comparison of heterogeneous sensor data,
Ieee Aerospace Conference Proceedings, vol. 2018March
(June, 2018),
pp. 110, IEEE [doi] [abs]
 Garagić, D; Peskoe, J; Liu, F; Claffey, MS; Bendich, P; Hineman, J; Borggren, N; Harer, J; Zulch, P; Rhodes, BJ, Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration,
Ieee Aerospace Conference Proceedings, vol. 2018March
(June, 2018),
pp. 18, IEEE, ISBN 9781538620144 [doi] [abs]
He, Siming
 He, S; Tadmor, E, Suppressing Chemotactic BlowUp Through a Fast Splitting Scenario on the Plane,
Archive for Rational Mechanics and Analysis, vol. 232 no. 2
(May, 2019),
pp. 951986, Springer Nature America, Inc [doi] [abs]
 He, S, Suppression of blowup in parabolicparabolic PatlakKellerSegel via strictly monotone shear flows,
Nonlinearity, vol. 31 no. 8
(July, 2018),
pp. 36513688, IOP Publishing [doi] [abs]
 Bedrossian, J; He, S, Erratum: Suppression of blowup in patlakkellersegel via shear flows (SIAM Journal on Mathematical Analysis (2017) 49 (47224766) DOI: 10.1137/16M1093380),
Siam Journal on Mathematical Analysis, vol. 50 no. 6
(January, 2018),
pp. 63656372 [doi] [abs]
Herschlag, Gregory J.
 Herschlag, G; Lee, S; Vetter, JS; Randles, A, GPU data access on complex geometries for D3Q19 lattice boltzmann method,
Proceedings 2018 Ieee 32nd International Parallel and Distributed Processing Symposium, Ipdps 2018
(August, 2018),
pp. 825834, IEEE, ISBN 9781538643686 [doi] [abs]
Huo, Ran
 Huo, R; Durrett, R, Latent voter model on locally treelike random graphs,
Stochastic Processes and Their Applications, vol. 128 no. 5
(May, 2018),
pp. 15901614, Elsevier BV [doi] [abs]
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
Junge, Matthew S
 Cristali, I; Junge, M; Durrett, R, Poisson percolation on the oriented square lattice,
Stochastic Processes and Their Applications
(January, 2019) [doi] [abs]
 Brito, G; Fowler, C; Junge, M; Levy, A, Ewens Sampling and Invariable Generation,
Combinatorics, Probability and Computing, vol. 27 no. 6
(November, 2018),
pp. 853891, Cambridge University Press (CUP) [doi] [abs]
 Johnson, T; Junge, M, Stochastic orders and the frog model,
Annales De L'Institut Henri Poincaré, Probabilités Et Statistiques, vol. 54 no. 2
(May, 2018),
pp. 10131030, Institute of Mathematical Statistics [doi] [abs]
 Foxall, E; Hutchcroft, T; Junge, M, Coalescing random walk on unimodular graphs,
Electronic Communications in Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M; Nolen, J, Block size in geometric(P)biased permutations,
Electronic Communications in Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
Kiselev, Alexander A.
 Kiselev, A; Li, C, Global regularity and fast smallscale formation for Euler patch equation in a smooth domain,
Communications in Partial Differential Equations, vol. 44 no. 4
(April, 2019),
pp. 279308 [doi] [abs]
 Do, T; Kiselev, A; Xu, X, Stability of Blowup for a 1D Model of Axisymmetric 3D Euler Equation,
Journal of Nonlinear Science, vol. 28 no. 6
(December, 2018),
pp. 21272152, Springer Nature America, Inc [doi] [abs]
 Kiselev, A, Special Issue Editorial: Small Scales and Singularity Formation in Fluid Dynamics,
Journal of Nonlinear Science, vol. 28 no. 6
(December, 2018),
pp. 20472050, Springer Nature America, Inc [doi]
 Do, T; Kiselev, A; Ryzhik, L; Tan, C, Global Regularity for the Fractional Euler Alignment System,
Archive for Rational Mechanics and Analysis, vol. 228 no. 1
(April, 2018),
pp. 137, Springer Nature [doi] [abs]
 Kiselev, A; Tan, C, Finite time blow up in the hyperbolic Boussinesq system,
Advances in Mathematics, vol. 325
(February, 2018),
pp. 3455, Elsevier BV [doi] [abs]
 Kiselev, A; Tan, C, Global regularity for 1D eulerian dynamics with singular interaction forces,
Siam Journal on Mathematical Analysis, vol. 50 no. 6
(January, 2018),
pp. 62086229, Society for Industrial & Applied Mathematics (SIAM) [doi] [abs]
Kovalsky, Shahar
 Shan, S; Kovalsky, SZ; Winchester, JM; Boyer, DM; Daubechies, I, ariaDNE: A robustly implemented algorithm for Dirichlet energy of the normal,
Methods in Ecology and Evolution, vol. 10 no. 4
(April, 2019),
pp. 541552 [doi] [abs]
Layton, Anita T.
 Fattah, H; Layton, A; Vallon, V, How Do Kidneys Adapt to a Deficit or Loss in Nephron Number?,
Physiology (Bethesda, Md.), vol. 34 no. 3
(May, 2019),
pp. 189197 [doi] [abs]
 Layton, AT, Optimizing SGLT inhibitor treatment for diabetes with chronic kidney diseases.,
Biological Cybernetics, vol. 113 no. 12
(April, 2019),
pp. 139148 [doi] [abs]
 Layton, AT; Layton, HE, A computational model of epithelial solute and water transport along a human nephron.,
Plos Computational Biology, vol. 15 no. 2
(February, 2019),
pp. e1006108 [doi] [abs]
 Layton, AT; Sullivan, JC, Recent advances in sex differences in kidney function.,
American Journal of Physiology. Renal Physiology, vol. 316 no. 2
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