Multidimensional Residues, Generating Functions, and Their Application to Queueing Networks. - Andrea L. Bertozzi; James McKenna (SIAM Rev., 1993)

Symmetric Singularity Formation in Lubrication-Type Equations for Interface Motion. - Andrea L. Bertozzi (SIAM J. Appl. Math., 1996)

Positivity-Preserving Numerical Schemes for Lubrication-Type Equations. - L. Zhornitskaya; Andrea L. Bertozzi (SIAM J. Numer. Anal., 1999)

Existence of Undercompressive Traveling Waves in Thin Film Equations. - Andrea L. Bertozzi; Michael Shearer (SIAM J. Math. Anal., 2000)

Navier-Stokes, Fluid Dynamics, and Image and Video Inpainting. - Marcelo Bertalmío; Andrea L. Bertozzi; Guillermo Sapiro (CVPR (1), 2001)

Thin Film Traveling Waves and the Navier Slip Condition. - Andrea L. Bertozzi; Michael Shearer; Robert Buckingham 001 (SIAM J. Appl. Math., 2003)

Swarming Patterns in a Two-Dimensional Kinematic Model for Biological Groups. - Chad M. Topaz; Andrea L. Bertozzi (SIAM J. Appl. Math., 2004)

Traveling Wave Solutions of Fourth Order PDEs for Image Processing. - John B. Greer; Andrea L. Bertozzi (SIAM J. Math. Anal., 2004)

Experimental validation of an algorithm for cooperative boundary tracking. - Chung H. Hsieh; Zhipu Jin; Daniel E. Marthaler; Bao Q. Nguyen; David J. Tung; Andrea L. Bertozzi; Richard M. Murray (ACC, 2005)

Virtual attractive-repulsive potentials for cooperative control of second order dynamic vehicles on the Caltech MVWT. - Bao Q. Nguyen; Yao-Ling Chuang; David Tung; Chung H. Hsieh; Zhipu Jin; Ling Shi 001; Daniel E. Marthaler; Andrea L. Bertozzi; Richard M. Murray (ACC, 2005)

An economical micro-car testbed for validation of cooperative control strategies. - Chung H. Hsieh; Yao-Li Chuang; Yuan R. Huang; Kevin K. Leung; Andrea L. Bertozzi; Emilio Frazzoli (ACC, 2006)

Fourth order partial differential equations on general geometries. - John B. Greer; Andrea L. Bertozzi; Guillermo Sapiro (J. Comput. Phys., 2006)

Robotic Path Planning and Visibility with Limited Sensor Data. - Yanina Landa; David Galkowski; Yuan R. Huang; Abhijeet Joshi; Christine Lee; Kevin K. Leung; Gitendra Malla; Jennifer Treanor; Vlad Voroninski; Andrea L. Bertozzi; Yen-Hsi Richard Tsai (ACC, 2007)

A second generation micro-vehicle testbed for cooperative control and sensing strategies. - Kevin K. Leung; Chung H. Hsieh; Yuan R. Huang; Abhijeet Joshi; Vlad Voroninski; Andrea L. Bertozzi (ACC, 2007)

Environmental boundary tracking and estimation using multiple autonomous vehicles. - Zhipu Jin; Andrea L. Bertozzi (CDC, 2007)

Autocalibration and Uncalibrated Reconstruction of Shape from Defocus. - Yifei Lou; Paolo Favaro; Andrea L. Bertozzi; Stefano Soatto (CVPR, 2007)

Multi-Vehicle Flocking: Scalability of Cooperative Control Algorithms using Pairwise Potentials. - Yao-Li Chuang; Yuan R. Huang; Maria R. D'Orsogna; Andrea L. Bertozzi (ICRA, 2007)

Analysis of a Two-Scale Cahn-Hilliard Model for Binary Image Inpainting. - Andrea L. Bertozzi; Selim Esedoglu; Alan Gillette (Multiscale Model. Simul., 2007)

Inpainting of Binary Images Using the Cahn-Hilliard Equation. - Andrea L. Bertozzi; Selim Esedoglu; Alan Gillette (IEEE Trans. Image Process., 2007)

Stability of a second order consensus algorithm with time delay. - Wen Yang 002; Andrea L. Bertozzi; Xiaofan Wang 001 (CDC, 2008)

Shock Solutions for Particle-Laden Thin Films. - Benjamin P. Cook; Andrea L. Bertozzi; A. E. Hosoi (SIAM J. Appl. Math., 2008)

A Wavelet-Laplace Variational Technique for Image Deconvolution and Inpainting. - Julia A. Dobrosotskaya; Andrea L. Bertozzi (IEEE Trans. Image Process., 2008)

Experimental validation of cooperative environmental boundary tracking with on-board sensors. - Abhijeet Joshi; Trevor T. Ashley; Yuan R. Huang; Andrea L. Bertozzi (ACC, 2009)

Nonlocal Similarity Image Filtering. - Yifei Lou; Paolo Favaro; Stefano Soatto; Andrea L. Bertozzi (ICIAP, 2009)

Multi-scale Collaborative Searching through Swarming. - Wangyi Liu; Yasser E. Taima; Martin B. Short; Andrea L. Bertozzi (ICINCO (2), 2010)

Improving Density Estimation by Incorporating Spatial Information. - Laura M. Smith; Matthew S. Keegan; Todd Wittman; George O. Mohler; Andrea L. Bertozzi (EURASIP J. Adv. Signal Process., 2010)

Image Recovery via Nonlocal Operators. - Yifei Lou; Xiaoqun Zhang; Stanley J. Osher; Andrea L. Bertozzi (J. Sci. Comput., 2010)

Nonlinear Patterns in Urban Crime: Hotspots, Bifurcations, and Suppression. - Martin B. Short; Andrea L. Bertozzi; P. Jeffrey Brantingham (SIAM J. Appl. Dyn. Syst., 2010)

Self-Similar Blowup Solutions to an Aggregation Equation in Rn. - Yanghong Huang; Andrea L. Bertozzi (SIAM J. Appl. Math., 2010)

Higher-Order Feature-Preserving Geometric Regularization. - Marc Droske; Andrea L. Bertozzi (SIAM J. Imaging Sci., 2010)

A Third Generation Micro-vehicle Testbed for Cooperative Control and Sensing Strategies. - Maximillian Gonzalez; Xinheng Huang; David S. Hermina Martinez; Chung H. Hsieh; Yuan R. Huang; Benjamin Irvine; Martin B. Short; Andrea L. Bertozzi (ICINCO (2), 2011)

A numerical scheme for particle-laden thin film flow in two dimensions. - Matthew R. Mata; Andrea L. Bertozzi (J. Comput. Phys., 2011)

Direct Sparse Deblurring. - Yifei Lou; Andrea L. Bertozzi; Stefano Soatto (J. Math. Imaging Vis., 2011)

Level Set Based Multispectral Segmentation with Corners. - Wenhua Gao; Andrea L. Bertozzi (SIAM J. Imaging Sci., 2011)

Robot swarming over the Internet. - Jérôme Gilles; Balaji R. Sharma; Will Ferenc; Hannah Kastein; Lauren Lieu; Ryan Wilson; Yuan Rick Huang; Andrea L. Bertozzi; Baisravan Homchaudhuri; Subramanian Ramakrishnan; Manish Kumar 006 (ACC, 2012)

Cooperative search with autonomous vehicles in a 3D aquatic testbed. - Matthew Keeter; Daniel Moore; Ryan Muller; Eric Nieters; Jennifer Flenner; Susan E. Martonosi; Andrea L. Bertozzi; Allon G. Percus; Rachel Levy (ACC, 2012)

Multislice Modularity Optimization in Community Detection and Image Segmentation. - Huiyi Hu; Yves van Gennip; Blake Hunter; Andrea L. Bertozzi; Mason A. Porter (ICDM Workshops, 2012)

Anomalous exponents of self-similar blow-up solutions to an aggregation equation in odd dimensions. - Yanghong Huang; Thomas P. Witelski; Andrea L. Bertozzi (Appl. Math. Lett., 2012)

A Generalized Birkhoff-Rott Equation for Two-dimensional Active Scalar Problems. - Hui Sun; David Uminsky 001; Andrea L. Bertozzi (SIAM J. Appl. Math., 2012)

A Variational Approach for Sharpening High Dimensional Images. - Michael Möller 001; Todd Wittman; Andrea L. Bertozzi; Martin Burger 001 (SIAM J. Imaging Sci., 2012)

Characterization of Radially Symmetric Finite Time Blowup in Multidimensional Aggregation Equations. - Andrea L. Bertozzi; John B. Garnett; Thomas Laurent 001 (SIAM J. Math. Anal., 2012)

Statistical Density Estimation Using Threshold Dynamics for Geometric Motion. - Tijana Kostic; Andrea L. Bertozzi (J. Sci. Comput., 2013)

An "Estimate & Score Algorithm" for simultaneous parameter estimation and reconstruction of incomplete data on social networks. - Rachel A. Hegemann; Erik A. Lewis; Andrea L. Bertozzi (Secur. Informatics, 2013)

Community Detection Using Spectral Clustering on Sparse Geosocial Data. - Yves van Gennip; Blake Hunter; Raymond Ahn; Peter Elliott; Kyle Luh; Megan Halvorson; Shannon Reid; Matthew Valasik; James Wo; George E. Tita; Andrea L. Bertozzi; P. Jeffrey Brantingham (SIAM J. Appl. Math., 2013)

A Method Based on Total Variation for Network Modularity Optimization Using the MBO Scheme. - Huiyi Hu; Thomas Laurent 001; Mason A. Porter; Andrea L. Bertozzi (SIAM J. Appl. Math., 2013)

Analysis of the Wavelet Ginzburg-Landau Energy in Image Applications with Edges. - Julia A. Dobrosotskaya; Andrea L. Bertozzi (SIAM J. Imaging Sci., 2013)

An MBO Scheme on Graphs for Classification and Image Processing. - Ekaterina Merkurjev; Tijana Kostic; Andrea L. Bertozzi (SIAM J. Imaging Sci., 2013)

Multi-class Graph Mumford-Shah Model for Plume Detection Using the MBO scheme. - Huiyi Hu; Justin Sunu; Andrea L. Bertozzi (EMMCVPR, 2014)

Graph MBO method for multiclass segmentation of hyperspectral stand-off detection video. - Ekaterina Merkurjev; Justin Sunu; Andrea L. Bertozzi (ICIP, 2014)

Gas plume detection and tracking in hyperspectral video sequences using Binary Partition Trees. - Guillaume Tochon; Jocelyn Chanussot; Jérôme Gilles; Mauro Dalla Mura; Jen-Mei Chang; Andrea L. Bertozzi (WHISPERS, 2014)

Diffuse interface methods for multiclass segmentation of high-dimensional data. - Ekaterina Merkurjev; Cristina Garcia-Cardona; Andrea L. Bertozzi; Arjuna Flenner; Allon G. Percus (Appl. Math. Lett., 2014)

A Linear Systems Approach to Imaging Through Turbulence. - Mario Micheli; Yifei Lou; Stefano Soatto; Andrea L. Bertozzi (J. Math. Imaging Vis., 2014)

Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs. - Cristina Garcia-Cardona; Ekaterina Merkurjev; Andrea L. Bertozzi; Arjuna Flenner; Allon G. Percus (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Shock Solutions for High Concentration Particle-Laden Thin Films. - Li Wang; Andrea L. Bertozzi (SIAM J. Appl. Math., 2014)

Pursuit on an Organized Crime Network. - Charles Z. Marshak; M. Puck Rombach; Andrea L. Bertozzi; Maria R. D'Orsogña (CoRR, 2015)

Global Binary Optimization on Graphs for Classification of High-Dimensional Data. - Ekaterina Merkurjev; Egil Bae; Andrea L. Bertozzi; Xue-Cheng Tai (J. Math. Imaging Vis., 2015)

Hyperspectral unmixing with material variability using social sparsity. - Travis R. Meyer; Lucas Drumetz; Jocelyn Chanussot; Andrea L. Bertozzi; Christian Jutten (ICIP, 2016)

GAS plume detection in hyperspectral video sequence using low rank representation. - Yang Xu 006; Zebin Wu 001; Zhihui Wei; Mauro Dalla Mura; Jocelyn Chanussot; Andrea L. Bertozzi (ICIP, 2016)

OpenMP Parallelization and Optimization of Graph-Based Machine Learning Algorithms. - Zhaoyi Meng; Alice Koniges; Yun (Helen) He; Samuel Williams 001; Thorsten Kurth; Brandon Cook 001; Jack Deslippe; Andrea L. Bertozzi (IWOMP, 2016)

A Harmonic Extension Approach for Collaborative Ranking. - Da Kuang; Zuoqiang Shi; Stanley J. Osher; Andrea L. Bertozzi (CoRR, 2016)

A blob method for the aggregation equation. - Katy Craig; Andrea L. Bertozzi (Math. Comput., 2016)

Pheeno, A Versatile Swarm Robotic Research and Education Platform. - Sean Wilson; Ruben Gameros; Michael Sheely; Matthew Lin; Kathryn Dover; Robert Gevorkyan; Matt Haberland; Andrea L. Bertozzi; Spring Berman (IEEE Robotics Autom. Lett., 2016)

The Regularity of the Boundary of a Multidimensional Aggregation Patch. - Andrea L. Bertozzi; John B. Garnett; Thomas Laurent 001; Joan Verdera (SIAM J. Math. Anal., 2016)

Diffuse Interface Models on Graphs for Classification of High Dimensional Data. - Andrea L. Bertozzi; Arjuna Flenner (SIAM Rev., 2016)

Pre-processing and classification of hyperspectral imagery via selective inpainting. - Victoria Chayes; Kevin Miller; Rasika Bhalerao; Jiajie Luo; Wei Zhu 007; Andrea L. Bertozzi; Wenzhi Liao; Stanley J. Osher (ICASSP, 2017)

A graph-based approach for feature extraction and segmentation of multimodal images. - Geoffrey Iyer; Jocelyn Chanussot; Andrea L. Bertozzi (ICIP, 2017)

Decentralized stochastic control of robotic swarm density: Theory, simulation, and experiment. - Hanjun Li 001; Chunhan Feng; Henry Ehrhard; Yijun Shen; Bernardo Cobos; Fangbo Zhang; Karthik Elamvazhuthi; Spring Berman; Matt Haberland; Andrea L. Bertozzi (IROS, 2017)

Machine learning for cardiac ultrasound time series data. - Baichuan Yuan; Sathya R. Chitturi; Geoffrey Iyer; Nuoyu Li; Xiaochuan Xu; Ruohan Zhan; Rafael Llerena; Jesse T. Yen; Andrea L. Bertozzi (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Uncertainty Quantification in the Classification of High Dimensional Data. - Andrea L. Bertozzi; Xiyang Luo; Andrew M. Stuart; Konstantinos C. Zygalakis (CoRR, 2017)

Crime Topic Modeling. - Da Kuang; P. Jeffrey Brantingham; Andrea L. Bertozzi (CoRR, 2017)

Deep Learning for Real Time Crime Forecasting. - Bao Wang 001; Duo Zhang; Duanhao Zhang; P. Jeffrey Brantingham; Andrea L. Bertozzi (CoRR, 2017)

Deep Learning for Real-Time Crime Forecasting and its Ternarization. - Bao Wang 001; Penghang Yin; Andrea L. Bertozzi; P. Jeffrey Brantingham; Stanley J. Osher; Jack Xin (CoRR, 2017)

Hyperspectral Image Classification Using Graph Clustering Methods. - Zhaoyi Meng; Ekaterina Merkurjev; Alice Koniges; Andrea L. Bertozzi (Image Process. Line, 2017)

Two-Dimensional Compact Variational Mode Decomposition - Spatially Compact and Spectrally Sparse Image Decomposition and Segmentation. - Dominique Zosso; Konstantin Dragomiretskiy; Andrea L. Bertozzi; Paul S. Weiss (J. Math. Imaging Vis., 2017)

Object Tracking by Hierarchical Decomposition of Hyperspectral Video Sequences: Application to Chemical Gas Plume Tracking. - Guillaume Tochon; Jocelyn Chanussot; Mauro Dalla Mura; Andrea L. Bertozzi (IEEE Trans. Geosci. Remote. Sens., 2017)

Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. - Wei Zhu 007; Victoria Chayes; Alexandre Tiard; Stephanie Sánchez; Devin Dahlberg; Andrea L. Bertozzi; Stanley J. Osher; Dominique Zosso; Da Kuang (IEEE Trans. Geosci. Remote. Sens., 2017)

Filtering Methods for Subgraph Matching on Multiplex Networks. - Jacob D. Moorman; Qinyi Chen; Thomas K. Tu; Zachary M. Boyd; Andrea L. Bertozzi (IEEE BigData, 2018)

Quantitative Assessment of Robotic Swarm Coverage. - Brendon G. Anderson; Eva Loeser; Marissa Gee; Fei Ren; Swagata Biswas; Olga Turanova; Matt Haberland; Andrea L. Bertozzi (ICINCO (2), 2018)

Quantifying Robotic Swarm Coverage. - Brendon G. Anderson; Eva Loeser; Marissa Gee; Fei Ren; Swagata Biswas; Olga Turanova; Matt Haberland; Andrea L. Bertozzi (ICINCO (Selected Papers), 2018)

GPU Parallel Implementation of Gas Plume Detection in Hyperspectral Video Sequences. - Huimin Yu; Zebin Wu 001; Jie Wei; Yang Xu 006; Jocelyn Chanussot; Andrea L. Bertozzi; Linlin Shi; Zhihui Wei (IGARSS, 2018)

Automatic valve segmentation in cardiac ultrasound time series data. - Yoni Dukler; Yurun Ge; Yizhou Qian; Shintaro Yamamoto; Baichuan Yuan; Long Zhao; Andrea L. Bertozzi; Blake Hunter; Rafael Llerena; Jesse T. Yen (Image Processing, 2018)

A Novel Highly Parallel Algorithm For The Detection And Tracking Of Chemical Gas Plumes Using Hyperspectral Video Sequences. - María Díaz; Jocelyn Chanussot; Raúl Guerra; Sebastián López; Roberto Sarmiento; Andrea L. Bertozzi (WHISPERS, 2018)

Gas Plume Detection in Hyperspectral Video Sequence Using Tensor Nuclear Norm. - Wenting Shang; Zebin Wu 001; Jie Wei; Yang Xu 006; Ling Qian; Zhihui Wei; Jocelyn Chanussot; Andrea L. Bertozzi (WHISPERS, 2018)

Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data. - Bao Wang 001; Xiyang Luo; Fangbo Zhang; Baichuan Yuan; Andrea L. Bertozzi; P. Jeffrey Brantingham (CoRR, 2018)

Segmentation of Scanning Tunneling Microscopy Images Using Variational Methods and Empirical Wavelets. - Kevin Bui; Jacob Fauman; David Kes; Leticia Torres Mandiola; Adina Ciomaga; Ricardo Salazar; Andrea L. Bertozzi; Jérôme Gilles; Andrew I. Guttentag; Paul S. Weiss (CoRR, 2018)

Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. - Bao Wang 001; Alex Tong Lin; Zuoqiang Shi; Wei Zhu 007; Penghang Yin; Andrea L. Bertozzi; Stanley J. Osher (CoRR, 2018)

Unsupervised record matching with noisy and incomplete data. - Yves van Gennip; Blake Hunter; Anna Ma; Daniel Moyer; Ryan de Vera; Andrea L. Bertozzi (Int. J. Data Sci. Anal., 2018)

Using insurance claims to predict and improve hospitalizations and biologics use in members with inflammatory bowel diseases. - Don A. Vaughn; Welmoed K. van Deen; Wesley T. Kerr; Travis R. Meyer; Andrea L. Bertozzi; Daniel W. Hommes; Mark S. Cohen (J. Biomed. Informatics, 2018)

Uncertainty Quantification in Graph-Based Classification of High Dimensional Data. - Andrea L. Bertozzi; Xiyang Luo; Andrew M. Stuart; Konstantinos C. Zygalakis (SIAM/ASA J. Uncertain. Quantification, 2018)

Simplified Energy Landscape for Modularity Using Total Variation. - Zachary M. Boyd; Egil Bae; Xue-Cheng Tai; Andrea L. Bertozzi (SIAM J. Appl. Math., 2018)

Performance Bounds on Spatial Coverage Tasks by Stochastic Robotic Swarms. - Fangbo Zhang; Andrea L. Bertozzi; Karthik Elamvazhuthi; Spring Berman (IEEE Trans. Autom. Control., 2018)

Low-Rank Decomposition and Total Variation Regularization of Hyperspectral Video Sequences. - Yang Xu 006; Zebin Wu 001; Jocelyn Chanussot; Mauro Dalla Mura; Andrea L. Bertozzi; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2018)

Noisy Subgraph Isomorphisms on Multiplex Networks. - Hui Jin; Xie He; Yanghui Wang; Hao Li; Andrea L. Bertozzi (IEEE BigData, 2019)

Applications of Structural Equivalence to Subgraph Isomorphism on Multichannel Multigraphs. - Thien Nguyen 004; Dominic Yang; Yurun Ge; Hao Li; Andrea L. Bertozzi (IEEE BigData, 2019)

Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. - Jyun-Yu Jiang; Zehan Chao; Andrea L. Bertozzi; Wei Wang 010; Sean D. Young; Deanna Needell (CIKM, 2019)

Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos. - Yiling Qiao; Chang Shi; Chenjian Wang; Hao Li; Matt Haberland; Xiyang Luo; Andrew M. Stuart; Andrea L. Bertozzi (Image Processing: Algorithms and Systems, 2019)

SOS-EW: System for Overdose Spike Early Warning Using Drug Mover's Distance-Based Hawkes Processes. - Wen-Hao Chiang; Baichuan Yuan; Hao Li; Bao Wang 001; Andrea L. Bertozzi; Jeremy G. Carter; Brad Ray; George O. Mohler (PKDD/ECML Workshops (1), 2019)

A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. - Zhijian Li; Xiyang Luo; Bao Wang 001; Andrea L. Bertozzi; Jack Xin (WCGO, 2019)

Fast Blind Hyperspectral Unmixing Based On Graph Laplacian. - Jing Qin 003; Harlin Lee; Jocelyn T. Chi; Yifei Lou; Jocelyn Chanussot; Andrea L. Bertozzi (WHISPERS, 2019)

Consistent Dynamic Mode Decomposition. - Omri Azencot; Wotao Yin; Andrea L. Bertozzi (SIAM J. Appl. Dyn. Syst., 2019)

Modeling Environmental Crime in Protected Areas Using the Level Set Method. - David J. Arnold; Dayne Fernandez; Ruizhe Jia; Christian Parkinson; Deborah Tonne; Yotam Yaniv; Andrea L. Bertozzi; Stanley J. Osher (SIAM J. Appl. Math., 2019)

Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction. - Baichuan Yuan; Hao Li; Andrea L. Bertozzi; P. Jeffrey Brantingham; Mason A. Porter (SIAM J. Math. Data Sci., 2019)

Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms. - Lucas Drumetz; Travis R. Meyer; Jocelyn Chanussot; Andrea L. Bertozzi; Christian Jutten (IEEE Trans. Image Process., 2019)

Zero Shot Learning with the Isoperimetric Loss. - Shay Deutsch; Andrea L. Bertozzi; Stefano Soatto (AAAI, 2020)

Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction. - Mariam Alaverdian; William Gilroy; Veronica Kirgios; Xia Li; Carolina Matuk; Daniel McKenzie; Tachin Ruangkriengsin; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE BigData, 2020)

Inexact Attributed Subgraph Matching. - Thomas K. Tu; Jacob D. Moorman; Dominic Yang; Qinyi Chen; Andrea L. Bertozzi (IEEE BigData, 2020)

Analyzing Effectiveness of Gang Interventions using Koopman Operator Theory. - Sian Wen; Andy Chen; Tanishq Bhatia; Nicholas Liskij; David Hyde 001; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE BigData, 2020)

Emotion Classification and Textual Clustering Techniques for Gang Intervention Data. - Ruofei Wu; Chenxin Yang; David Hyde 001; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE BigData, 2020)

A Hamilton-Jacobi Formulation for Time-Optimal Paths of Rectangular Nonholonomic Vehicles. - Christian Parkinson; Andrea L. Bertozzi; Stanley J. Osher (CDC, 2020)

Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities. - Baichuan Yuan; Xiaowei Wang; Jianxin Ma; Chang Zhou; Andrea L. Bertozzi; Hongxia Yang (ICLR, 2020)

Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. - Thu Dinh; Bao Wang 001; Andrea L. Bertozzi; Stanley J. Osher; Jack Xin (LOD (2), 2020)

MomentumRNN: Integrating Momentum into Recurrent Neural Networks. - Tan M. Nguyen; Richard G. Baraniuk; Andrea L. Bertozzi; Stanley J. Osher; Bao Wang 001 (NeurIPS, 2020)

Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. - Bao Wang 001; Tan M. Nguyen; Andrea L. Bertozzi; Richard G. Baraniuk; Stanley J. Osher (CoRR, 2020)

Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. - Thu Dinh; Bao Wang 001; Andrea L. Bertozzi; Stanley J. Osher (CoRR, 2020)

Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations. - Kevin Miller; Hao Li; Andrea L. Bertozzi (CoRR, 2020)

Posterior Consistency of Semi-Supervised Regression on Graphs. - Andrea L. Bertozzi; Bamdad Hosseini; Hao Li; Kevin Miller; Andrew M. Stuart (CoRR, 2020)

Stochastic Block Models are a Discrete Surface Tension. - Zachary M. Boyd; Mason A. Porter; Andrea L. Bertozzi (J. Nonlinear Sci., 2020)

Segmentation of scanning tunneling microscopy images using variational methods and empirical wavelets. - Kevin Bui; Jacob Fauman; David Kes; Leticia Torres Mandiola; Adina Ciomaga; Ricardo Salazar; Andrea L. Bertozzi; Jérôme Gilles; Dominic P. Goronzy; Andrew I. Guttentag; Paul S. Weiss (Pattern Anal. Appl., 2020)

A Model for Optimal Human Navigation with Stochastic Effects. - Christian Parkinson; David Arnold 005; Andrea L. Bertozzi; Stanley J. Osher (SIAM J. Appl. Math., 2020)

An Analysis of COVID-19 Knowledge Graph Construction and Applications. - Dominic Flocco; Bryce Palmer-Toy; Ruixiao Wang 001; Hongyu Zhu; Rishi Sonthalia; Junyuan Lin; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE BigData, 2021)

Active Learning for the Subgraph Matching Problem. - Yurun Ge; Andrea L. Bertozzi (IEEE BigData, 2021)

Heavy Ball Neural Ordinary Differential Equations. - Hedi Xia; Vai Suliafu; Hangjie Ji; Tan M. Nguyen; Andrea L. Bertozzi; Stanley J. Osher; Bao Wang 001 (NeurIPS, 2021)

Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application. - Hangjie Ji; Kyle J. Lafata; Yvonne M. Mowery; David Brizel; Andrea L. Bertozzi; Fang-Fang Yin; Chunhao Wang (CoRR, 2021)

A Multilayer Network Model of the Coevolution of the Spread of a Disease and Competing Opinions. - Kaiyan Peng; Zheng Lu; Vanessa Lin; Michael R. Lindstrom; Christian Parkinson; Chuntian Wang; Andrea L. Bertozzi; Mason A. Porter (CoRR, 2021)

Model-Change Active Learning in Graph-Based Semi-Supervised Learning. - Kevin Miller; Andrea L. Bertozzi (CoRR, 2021)

Efficient and Reliable Overlay Networks for Decentralized Federated Learning. - Yifan Hua; Kevin Miller; Andrea L. Bertozzi; Chen Qian; Bao Wang 001 (CoRR, 2021)

Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. - Hannah Dröge; Baichuan Yuan; Rafael Llerena; Jesse T. Yen; Michael Möller 001; Andrea L. Bertozzi (J. Imaging, 2021)

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. - Jing Qin 003; Harlin Lee; Jocelyn T. Chi; Lucas Drumetz; Jocelyn Chanussot; Yifei Lou; Andrea L. Bertozzi (IEEE Trans. Geosci. Remote. Sens., 2021)

A Graph-Based Approach for Data Fusion and Segmentation of Multimodal Images. - Geoffrey Iyer; Jocelyn Chanussot; Andrea L. Bertozzi (IEEE Trans. Geosci. Remote. Sens., 2021)

Subgraph Matching on Multiplex Networks. - Jacob D. Moorman; Thomas K. Tu; Qinyi Chen; Xie He; Andrea L. Bertozzi (IEEE Trans. Netw. Sci. Eng., 2021)

Knowledge Graphs of the QAnon Twitter Network. - Clay Adams; Malvina Bozhidarova; James Chen; Andrew Gao; Zhengtong Liu; J. Hunter Priniski; Junyuan Lin; Rishi Sonthalia; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE Big Data, 2022)

Combining Dynamic Mode Decomposition and Difference-in-Differences in an Analysis of At-Risk Youth. - Marc Andrew Choi; Siyu Huang; Hengyuan Qi; Marco Scialanga; Emerson McMullen; Axel Sanchez Moreno; Yifei Lou; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE Big Data, 2022)

Privacy-Preserving Federated Multi-Task Linear Regression: A One-Shot Linear Mixing Approach Inspired By Graph Regularization. - Harlin Lee; Andrea L. Bertozzi; Jelena Kovacevic; Yuejie Chi (ICASSP, 2022)

GRAND++: Graph Neural Diffusion with A Source Term. - Matthew Thorpe; Tan Minh Nguyen; Hedi Xia; Thomas Strohmer; Andrea L. Bertozzi; Stanley J. Osher; Bao Wang 001 (ICLR, 2022)

Graph-based Active Learning for Semi-supervised Classification of SAR Data. - Kevin Miller; John Mauro; Jason Setiadi; Xoaquin Baca; Zhan Shi; Jeff Calder; Andrea L. Bertozzi (CoRR, 2022)

Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs. - Justin M. Baker; Hedi Xia; Yiwei Wang; Elena Cherkaev; Akil Narayan 001; Long Chen; Jack Xin; Andrea L. Bertozzi; Stanley J. Osher; Bao Wang 001 (CoRR, 2022)

Neural ODE Control for Trajectory Approximation of Continuity Equation. - Karthik Elamvazhuthi; Bahman Gharesifard; Andrea L. Bertozzi; Stanley J. Osher (IEEE Control. Syst. Lett., 2022)

A martingale formulation for stochastic compartmental susceptible-infected-recovered (SIR) models to analyze finite size effects in COVID-19 case studies. - Xia Li; Chuntian Wang; Hao Li; Andrea L. Bertozzi (Networks Heterog. Media, 2022)

Dynamics of Small Particle Inertial Migration in Curved Square Ducts. - Kyung Ha; Brendan Harding; Andrea L. Bertozzi; Yvonne M. Stokes (SIAM J. Appl. Dyn. Syst., 2022)

Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. - Bao Wang 001; Tan M. Nguyen; Tao Sun 005; Andrea L. Bertozzi; Richard G. Baraniuk; Stanley J. Osher (SIAM J. Imaging Sci., 2022)

Efficient and Reliable Overlay Networks for Decentralized Federated Learning. - Yifan Hua; Kevin S. Miller; Andrea L. Bertozzi; Chen Qian; Bao Wang 001 (SIAM J. Appl. Math., 2022)

Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups. - Malvina Bozhidarova; Jonathn Chang; Aaishah Ale-rasool; Yuxiang Liu; Chongyao Ma; Andrea L. Bertozzi; P. Jeffrey Brantingham; Junyuan Lin; Sanjukta Krishnagopal (IEEE Big Data, 2023)

AutoKG: Efficient Automated Knowledge Graph Generation for Language Models. - Bohan Chen; Andrea L. Bertozzi (IEEE Big Data, 2023)

Intentional Youth Development Activities and Peer Effects in a Gang Prevention Program. - Haoran Jia; Haoyu Li; Xinyue Li; Xiaoxian Shen; Yichen Wang; Zichun Liao; Andrea L. Bertozzi; P. Jeffrey Brantingham; Jona Lelmi (IEEE Big Data, 2023)

Active Learning of non-Semantic Speech Tasks with Pretrained models. - Harlin Lee; Aaqib Saeed; Andrea L. Bertozzi (ICASSP, 2023)

A Primal-Dual Framework for Transformers and Neural Networks. - Tan Minh Nguyen; Tam Minh Nguyen; Nhat Ho; Andrea L. Bertozzi; Richard G. Baraniuk; Stanley J. Osher (ICLR, 2023)

Incorporating Texture Features into Optical Flow for Atmospheric Wind Velocity Estimation. - Joel Barnett; Andrea L. Bertozzi; Luminita A. Vese; Igor Yanovsky (IGARSS, 2023)

Graph-Based Active Learning for Surface Water and Sediment Detection in Multispectral Images. - Bohan Chen; Kevin S. Miller; Andrea L. Bertozzi; Jon Schwenk (IGARSS, 2023)

Material Identification in Complex Environments: Neural Network Approaches to Hyperspectral Image Analysis. - Jason Brown; Bohan Chen; Harris Hardiman-Mostow; Adrien Weihs; Andrea L. Bertozzi; Jocelyn Chanussot (WHISPERS, 2023)

Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets. - James Chapman 007; Bohan Chen; Zheng Tan; Jeff Calder; Kevin Miller; Andrea L. Bertozzi (CoRR, 2023)

Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing. - Bohan Chen; Yifei Lou; Andrea L. Bertozzi; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2023)

Structural Equivalence in Subgraph Matching. - Dominic Yang; Yurun Ge; Thien Nguyen 004; Denali Molitor; Jacob D. Moorman; Andrea L. Bertozzi (IEEE Trans. Netw. Sci. Eng., 2023)

The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA3 2024). - Jiejun Xu; Hanghang Tong; Andrea L. Bertozzi (CIKM, 2024)

Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks. - Shih-Hsin Wang; Yung-Chang Hsu; Justin M. Baker; Andrea L. Bertozzi; Jack Xin; Bao Wang 001 (ICLR, 2024)

Detection and Segmentation Of Shape-Coded Particles Via Hough Transforms and Snake Active Contours. - Jason Brown; Alyssa Arnheim; Andrea L. Bertozzi; Dino D. Carlo (SSIAI, 2024)

A Primal-Dual Framework for Transformers and Neural Networks. - Tan M. Nguyen; Tam Nguyen; Nhat Ho; Andrea L. Bertozzi; Richard G. Baraniuk; Stanley J. Osher (CoRR, 2024)

Detection and tracking of gas plumes in LWIR hyperspectral video sequence data. - Torin Gerhart; Justin Sunu; Ekaterina Merkurjev; Jen-Mei Chang; Jérôme Gilles; Andrea L. Bertozzi (CoRR, 2024)

Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models. - Xinyi Leng; Jason Liang; Jack Mauro; Xu Wang; Andrea L. Bertozzi; James Chapman 007; Junyuan Lin; Bohan Chen; Chenchen Ye 001; Temple Daniel; P. Jeffrey Brantingham (CoRR, 2024)

GLL: A Differentiable Graph Learning Layer for Neural Networks. - Jason Brown; Bohan Chen; Harris Hardiman-Mostow; Jeff Calder; Andrea L. Bertozzi (CoRR, 2024)

Optimal policy for control of epidemics with constrained time intervals and region-based interactions. - Xia Li; Andrea L. Bertozzi; P. Jeffrey Brantingham; Yevgeniy Vorobeychik (Networks Heterog. Media, 2024)

A positivity-preserving numerical method for a thin liquid film on a vertical cylindrical fiber. - Bohyun Kim; Hangjie Ji; Andrea L. Bertozzi; Abolfazl Sadeghpour; Y. Sungtaek Ju (J. Comput. Phys., 2024)

A comparative study of dynamic models for gravity-driven particle-laden flows. - Wing Pok Lee; Jonathan D. Woo; Luke Triplett; Yifan Gu; Sarah C. Burnett; Lingyun Ding; Andrea L. Bertozzi (Appl. Math. Lett., 2025)

Iterative active learning strategies for subgraph matching. - Yurun Ge; Dominic Yang; Andrea L. Bertozzi (Pattern Recognit., 2025)

CGAP: A Hybrid Contrastive and Graph-Based Active Learning Pipeline to Detect Water and Sediment in Multispectral Images. - Bohan Chen; Kevin S. Miller; Andrea L. Bertozzi; Jon Schwenk (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Generic Structural Stability for 2 ⨉ 2 Systems of Hyperbolic Conservation Laws. - Hong Kiat Tan; Andrea L. Bertozzi (CoRR, 2025)

STORK: Improving the Fidelity of Mid-NFE Sampling for Diffusion and Flow Matching Models. - Zheng Tan; Weizhen Wang; Andrea L. Bertozzi; Ernest K. Ryu (CoRR, 2025)

Explicit Monotone Stable Super-Time-Stepping Methods for Finite Time Singularities. - Zheng Tan; Tariq D. Aslam; Andrea L. Bertozzi (CoRR, 2025)

Latent Diffeomorphic Dynamic Mode Decomposition. - Willem Diepeveen; Jon Schwenk; Andrea L. Bertozzi (Appl. Math. Lett., 2026)