Talks will be presented virtually or in-person as indicated in the schedule below.

• Zamurat Adegboye
  Institute of Mathematical and Physical Sciences
  Mar 22-28, 2020
• Faten Alamri
  virginia commonwealth university and Princess Nourah Bint Abdul Rahman University
  Apr 19-25, 2020
• Terrence Alsup
  Courant Institute of Mathematical Sciences
  Feb 16-22, 2020; Apr 19-25, 2020
• Manuchehr Aminian
  Colorado State University
  Feb 16-22, 2020
• Thanos Antoulas
  Rice University
  Feb 16-22, 2020
• Andrea Arnold
  Worcester Polytechnic Institute
  Apr 20-24, 2020
• Mazlum Ferhat Arslan
  Middle East Technical University
  Jan 26-May 2, 2020
• Saed Asaly
  Ariel University
  Apr 19-25, 2020
• Yonatan Ashenafi
  Rensselaer Polytechnic Institute
  Apr 19-25, 2020
• Selin Aslan
  Argonne National Laboratory
  Mar 22-28, 2020
• Brian Avants
  Penn Image Computing and Science Laboratory at UPenn
  Jan 27-May 1, 2020
• Karim Azumah
  Pan African University for Basic Sciences, Technology and Innovation
  Apr 19-25, 2020
• Ashwin Babu
  Dassault Systemes Simulia Corp
  Feb 17-22, 2020
• Zhe Bai
  Lawrence Berkeley National Lab
  Apr 19-25, 2020
• Christopher Beattie
  Virginia Tech
  Jan 26-Mar 16, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Amina Benaceur
  MIT
  Feb 16-22, 2020; Mar 22-28, 2020
• Peter Benner
  Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
  Jan 28-Mar 13, 2020; Mar 23-27, 2020
• George Biros
  ICES
  Apr 23-24, 2020
• Raed Blel
  CERMICS
  Feb 16-22, 2020
• Liliana Borcea
  University of Michigan
  Apr 19-25, 2020
• Jeff Borggaard
  Virginia Tech
  Feb 16-22, 2020; Mar 22-28, 2020
• Sergiy Borodachov
  Towson University
  Mar 5-15, 2020; Mar 23-27, 2020
• Tamara Broderick
  Massachusetts Institute of Technology
  Apr 19-25, 2020
• Tan Bui-Thanh
  University of Texas at Austin
  Feb 16-22, 2020
• Olena Burkovska
  Oak Ridge National Laboratory
  Mar 23-27, 2020
• Jared Callaham
  University of Washington
  Mar 22-28, 2020
• Kevin Carlberg
  University of Washington
  Feb 16-22, 2020; Mar 22-28, 2020
• Peter Challenor
  University of Exeter
  Apr 19-25, 2020
• Jesse Chan
  Rice University
  Feb 16-22, 2020; Mar 22-28, 2020
• Zheng “Leslie” Chen
  University of Massachusetts Dartmouth
  Jan 27-May 1, 2020
• Yanlai Chen
  University of Massachusetts, Dartmouth
  Jan 27-May 1, 2020
• Yingda Cheng
  Michigan State University
  Jan 27-Mar 8, 2020; Mar 23-27, 2020
• Haiyan Cheng
  Willamette University
  Apr 20-24, 2020
• Karim Cherifi
  MPI Magdeburg, Germany
  Feb 16-22, 2020
• Francisco Chinesta
  ENSAM
  Mar 22-28, 2020
• Merlise Clyde
  Duke University
  Apr 19-25, 2020
• Albert Cohen
  Sorbonne Université
  Feb 16-22, 2020
• Paul Constantine
  University of Colorado Boulder
  Feb 3-Mar 19, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Keisha Cook
  Tulane University
  Apr 19-25, 2020
• Wolfgang Dahmen
  University of South Carolina
  Feb 16-22, 2020
• Gregory Darnell
  ICERM
  Sep 1, 2019-Jun 1, 2020
• Julio de Lima Nicolini
  Ohio State University
  Feb 16-22, 2020; Apr 20-25, 2020
• Eric de Sturler
  Virginia Tech
  Feb 16-22, 2020; Mar 23-27, 2020
• David Del Rey Fernádez
  National Institute of Aerospace contracted to NASA
  Feb 16-22, 2020
• Anton Dereventsov
  Oak Ridge National Laboratory
  Apr 19-25, 2020
• Mingchang Ding
  University of Delaware
  Feb 16-22, 2020; Mar 22-28, 2020; Apr 19-25, 2020
• Adi Ditkowski
  Tel Aviv University
  Feb 16-22, 2020
• Alireza Doostan
  University of Colorado Boulder
  Mar 23-27, 2020; Apr 20-24, 2020
• Kathryn Drake
  Boise State University
  Apr 19-25, 2020
• Vladimir Druskin
  Worcester Polytechnic Institute
  Jan 27-Mar 13, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Karthik Duraisamy
  University of Michigan
  Mar 22-28, 2020
• Virginie Ehrlacher
  CERMICS – ENPC
  Feb 16-22, 2020
• Fariba Fahroo
  AFOSR
  Feb 18-21, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Ionut Farcas
  The University of Texas at Austin
  Feb 16-22, 2020
• Charbel Farhat
  Stanford University
  Mar 22-28, 2020
• Heike Faßbender
  Technische Universität Braunschweig
  Feb 16-22, 2020
• Jinchao Feng
  Johns Hopkins University
  Mar 22-28, 2020
• Lihong Feng
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 18-Mar 13, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Guosheng Fu
  Brown University
  Feb 16-22, 2020; Mar 22-28, 2020; Apr 20-24, 2020
• Khaled Furati
  King Fahd University of Petroleum and Minerals
  Apr 20-24, 2020
• Roger Ghanem
  University of Southern California
  Mar 22-28, 2020
• Nathan Gibson
  Oregon State University
  Feb 16-22, 2020; Apr 20-24, 2020
• Anna Gilbert
  University of Michigan
  Apr 19-25, 2020
• Silke Glas
  Cornell University
  Feb 16-22, 2020
• Ion Victor Gosea
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 16-22, 2020; Mar 22-28, 2020
• Pawan Goyal
  MPI Magdeburg
  Feb 16-22, 2020
• Carmen Gräßle
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 16-22, 2020
• Rachel Grotheer
  Goucher College
  Feb 16-22, 2020; Mar 22-28, 2020
• Sara Grundel
  Max Planck Insitute
  Mar 22-28, 2020
• Serkan Gugercin
  Virginia Tech
  Jan 23-Mar 16, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Diane Guignard
  Texas A&M University
  Feb 16-22, 2020
• Wei Guo
  Texas Tech University
  Feb 16-22, 2020; Mar 22-28, 2020
• Bernard Haasdonk
  University of Stuttgart
  Mar 22-28, 2020
• Tom Hagstrom
  Southern Methodist University
  Feb 16-22, 2020
• Aidan Hamilton
  University of Delaware
  Mar 23-28, 2020
• Dirk Hartmann
  SIEMENS
  Feb 16-22, 2020
• Matthias Heinkenschloss
  Rice University
  Feb 16-22, 2020
• Christian Himpe
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 2-Mar 13, 2020; Apr 20-24, 2020
• Jeffrey Hokanson
  University of Colorado Boulder
  Jan 28-May 2, 2020
• Xiaozhe Hu
  Tufts University
  Jan 26-Mar 28, 2020
• Jingwei Hu
  Purdue University
  Feb 16-22, 2020
• Juntao Huang
  Michigan State Univerisity
  Feb 16-22, 2020
• Traian Iliescu
  Virginia Tech
  Mar 22-28, 2020
• Muhammad Izzatullah
  King Abdullah University of Science and Technology
  Feb 3-May 1, 2020
• Ameya Jagtap
  Division of Applied Mathematics
  Feb 16-22, 2020
• Lijie Ji
  UMass Dartmouth/Shanghai Jiao Tong University
  Jan 27-May 1, 2020
• Jiahua Jiang
  Virginia Tech
  Jan 26-May 2, 2020
• Sebastian Kaltenbach
  Technical University of Munich - Continuum Mechanics Group
  Apr 19-25, 2020
• Dimitris Kamilis
  University of Edinburgh
  Feb 16-22, 2020
• Isabelle Kemajou-Brown
  Morgan State University
  Apr 20-24, 2020
• Abdul Khaliq
  Middle Tennessee State University
  Apr 20-24, 2020
• Parisa Khodabakhshi
  UT Austin
  Feb 16-22, 2020
• Misha Kilmer
  Tufts University
  Jan 27-May 1, 2020
• BONGSIK KIM
  American University of Ras Al Khaimah
  Apr 19-25, 2020
• Gerhardus Kirsten
  University of Bologna
  Feb 24-Mar 27, 2020
• Liang Kong
  University of Illinois at Springfield
  Apr 19-25, 2020
• Peter Kramer
  Rensselaer Polytechnic Institute
  Jan 26-Apr 17, 2020; Apr 20-24, 2020
• Boris Krämer
  University of California San Diego
  Feb 16-22, 2020
• Christian Kümmerle
  Johns Hopkins University
  Mar 22-28, 2020; Apr 20-24, 2020
• J. Nathan Kutz
  University of Washington
  Apr 19-25, 2020
• Pierre Ladeveze
  École Normale Supérieure Paris-Saclay
  Mar 22-28, 2020
• Jeonghun Lee
  Baylor University
  Feb 16-22, 2020
• Sanda LEFTERIU
  IMT Lille Douai
  Jan 26-Mar 18, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Fengyan Li
  Rensselaer Polytechinic Institute
  Jan 26-Apr 17, 2020; Apr 20-24, 2020
• Yuwen Li
  Pennsylvania State University
  Feb 16-22, 2020
• Xingjie Li
  University of North Carolina at Charlotte
  Feb 16-22, 2020; Apr 19-25, 2020
• Jichun Li
  University of Nevada Las Vegas
  Apr 19-25, 2020
• xiantao Li
  Pennsylvania State University
  Feb 16-22, 2020
• Guang Lin
  Purdue University
  Apr 19-25, 2020
• ZEXIN LIU
  UNIVERSITY OF UTAH
  Mar 23-27, 2020
• Yong Liu
  USTC
  Jan 27-May 1, 2020
• Hannah Lu
  Stanford University
  Feb 16-22, 2020
• Fei Lu
  Johns Hopkins University
  Mar 23-27, 2020
• Marcella M Gomez
  University of California Santa Cruz
  Apr 19-25, 2020
• Anna Ma
  University of California Irvine
  Apr 19-25, 2020
• Yvon Maday
  Sorbonne Université
  Jan 29-30, 2020; Feb 16-22, 2020; Mar 23-27, 2020
• Mauro Maggioni
  Johns Hopkins University
  Apr 19-25, 2020
• Michael Mahoney
  University of California, Berkeley
  Apr 19-25, 2020
• Alba Málaga Sabogal
  ICERM
  Sep 1, 2019-Jun 11, 2020
• Reza Malek-Madani
  U.S. Naval Academy
  Apr 20-24, 2020
• Krithika Manohar
  California Institute of Technology
  Apr 19-25, 2020
• Michael Patrick Martin
  Johns Hopkins University
  Mar 22-28, 2020
• Youssef Marzouk
  Massachusetts Institute of Technology
  Jan 27-May 1, 2020
• Romit Maulik
  Argonne National Laboratory
  Feb 17-21, 2020; Mar 23-27, 2020
• F. Patricia Medina
  Yeshiva University
  Apr 20-24, 2020
• Volker Mehrmann
  TU Berlin
  Feb 16-22, 2020
• Petar Mlinarić
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 4-Mar 18, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Peter Monk
  University of Delaware
  Jan 27-Mar 14, 2020; Mar 23-27, 2020
• Ryleigh Moore
  University of Utah
  Mar 22-28, 2020; Apr 19-25, 2020
• Shari Moskow
  Drexel University
  Apr 20-24, 2020
• Lin Mu
  University of Georgia
  Mar 22-28, 2020
• Olga Mula
  Paris Dauphine University
  Feb 16-22, 2020
• Akil Narayan
  University of Utah
  Jan 26-Mar 29, 2020; Apr 20-24, 2020
• Carmeliza Navasca
  University of Alabama at Birmingham
  Jan 26-May 1, 2020
• Indranil Nayak
  The Ohio State University
  Feb 16-22, 2020
• Nicole Nellesen
  RWTH Aachen University
  Mar 22-28, 2020; Apr 20-24, 2020
• Ron Ofir
  Technion - Israel Institute of Technology
  Feb 17-21, 2020
• Kayode Olumoyin
  Middle Tennessee State University
  Apr 20-24, 2020
• Melkior Ornik
  University of Illinois at Urbana-Champaign
  Apr 19-24, 2020
• Karl Otness
  New York University
  Feb 16-22, 2020
• Emmanuel de-Graft Johnson Owusu-Ansah
  Kwame Nkrumah University of Science and Technology
  Mar 23-27, 2020
• Cecilia Pagliantini
  EPFL, Ecole Polytechnique Federale de Lausanne
  Feb 16-21, 2020
• Davide Palitta
  Max Planck Institute for Dynamics of Complex Technical Systems
  Jan 12-Mar 27, 2020
• Juming Pan
  Rowan University
  Apr 19-25, 2020
• Anthony Patera
  MIT
  Feb 16-22, 2020
• Benjamin Peherstorfer
  Courant Institute, New York University
  Jan 30-31, 2020; Feb 16-21, 2020; Mar 2-6, 2020; Apr 19-24, 2020
• Zhichao Peng
  Rensselaer Polytechnic Institute
  Jan 26-May 2, 2020
• Paris Perdikaris
  University of Pennsylvania
  Apr 19-25, 2020
• Rebecca Pereira
  University of Massachusetts Dartmouth
  Mar 22-28, 2020
• Vasilije Perovic
  University of Rhode Island
  Feb 17-21, 2020
• Armenak Petrosyan
  Oak Ridge National Laboratory
  Feb 16-22, 2020
• Blake Pollard
  National Institute of Standards and Technology
  Feb 17-21, 2020
• Sara Pollock
  University of Florida
  Mar 22-28, 2020
• Igor Pontes Duff
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 16-22, 2020
• Thomas Prescott
  University of Oxford
  Feb 16-22, 2020
• Elizabeth Qian
  MIT
  Jan 27-May 1, 2020
• Jingmei Qiu
  University of Delaware
  Mar 23-25, 2020
• Annalisa Quaini
  University of Houston
  Mar 22-28, 2020
• Jeffrey Regier
  University of California, Berkeley
  Apr 19-25, 2020
• Kui Ren
  Columbia University
  Feb 26-28, 2020
• Rosemary Renaut
  Arizona State University
  Mar 22-28, 2020; Apr 19-25, 2020
• Viktor Reshniak
  Oak Ridge National Laboratory
  Feb 16-22, 2020; Mar 22-28, 2020; Apr 19-25, 2020
• Donsub Rim
  New York University
  Feb 16-22, 2020
• Abel Rodriguez
  University of California, Santa Cruz
  Apr 19-25, 2020
• Steven Rodriguez
  U.S. Naval Research Laboratory
  Feb 16-22, 2020
• Gianluigi Rozza
  SISSA – International School for Advanced Studies
  Feb 16-22, 2020; Mar 22-28, 2020
• Jennifer Ryan
  Colorado School of Mines
  Mar 23-27, 2020
• Quratulan Sabir
  National College of business administration and economics
  Apr 20-24, 2020
• Arvind Krishna Saibaba
  North Carolina State University
  Mar 22-28, 2020
• Themistoklis Sapsis
  MIT
  Apr 19-25, 2020
• Neeraj Sarna
  Max Planck Institute-Magdeburg
  Feb 1-Mar 16, 2020
• Robert Scheichl
  University of Heidelberg
  Apr 19-25, 2020
• Michael Schneier
  University of Pittsburgh
  Jan 13-Apr 17, 2020; Apr 20-24, 2020
• Christoph Schwab
  ETH Zürich
  Mar 23-27, 2020
• Babak Shahbaba
  University of California - Irvine
  Apr 19-25, 2020
• Yeonjong Shin
  Brown University
  Apr 20-24, 2020
• Kathrin Smetana
  University of Twente
  Mar 22-28, 2020
• Devin Smith
  Rensselaer Polytechnic Institute
  Jan 26-Mar 20, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Sarah Soleiman
  Université Paris 1 Panthéon Sorbonne
  Apr 19-25, 2020
• Susanna Spektor
  Sheridan college institute of technology
  Apr 20-24, 2020
• Georg Stadler
  CIMS NYU
  Apr 19-25, 2020
• Benjamin Stamm
  RWTH Aachen University
  Feb 16-28, 2020; Mar 23-Apr 3, 2020
• Shannon Starr
  University of Alabama at Birmingham
  Jan 27-May 1, 2020
• Jemima Tabeart
  University of Edinburgh
  Jan 13-May 1, 2020
• Sui Tang
  Johns Hopkins University
  Apr 20-24, 2020
• Qi Tao
  USTC
  Jan 27-May 1, 2020
• Daniel Tartakovsky
  Stanford University
  Feb 16-22, 2020
• Manuel Tiglio
  Universidad Nacional de Córdoba
  Mar 23-27, 2020
• Zoran Tomljanovic
  University of Osijek
  Feb 16-22, 2020
• Shanyin Tong
  New York University
  Apr 19-25, 2020
• THOMAS Torku
  Middle Tennessee State University
  Apr 20-24, 2020
• Shashanka Ubaru
  IBM T.J. Watson Research Center
  Mar 22-28, 2020
• Wayne Isaac Uy
  Courant Institute of Mathematical Sciences, NYU
  Apr 20-24, 2020
• Daniele Venturi
  University of California, Santa Cruz
  Jan 25-Mar 27, 2020; Apr 20-24, 2020
• Karen Veroy-Grepl
  TU Eindhoven
  Feb 16-22, 2020; Apr 19-25, 2020
• Pedro Vilanova Guerra
  NJIT
  Feb 17-21, 2020; Mar 23-27, 2020
• Aaron Villanueva
  National University of Cordoba
  Mar 23-27, 2020
• Soledad Villar
  NYU
  Apr 20-24, 2020
• Min Wang
  Duke University
  Jan 15-May 3, 2020
• Zhu Wang
  University of South Carolina
  Jan 26-Mar 16, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Ting Wang
  US Army Research Laboratory
  Feb 16-22, 2020
• Yating Wang
  Purdue University
  Mar 22-28, 2020
• Xiaoyu Wang
  Florida State University
  Apr 19-25, 2020
• Rachel Ward
  University of Texas at Austin
  Apr 20-24, 2020
• Jonathan Weare
  Courant Institute, New York University
  Apr 19-25, 2020
• Karen Willcox
  UT Austin
  Feb 16-22, 2020
• Jinlong Wu
  California Institute of Technology
  Apr 20-24, 2020
• Xiaojie Wu
  University of California, Berkeley
  Feb 16-22, 2020
• Qing Xia
  Rensselaer Polytechnic Institute
  Feb 16-22, 2020
• Yulong Xing
  The Ohio State University
  Mar 22-28, 2020
• Yiming Xu
  University of Utah
  Apr 19-25, 2020
• Yang Yang
  Michigan Technological University
  Feb 16-22, 2020; Mar 23-27, 2020; Apr 19-25, 2020
• Masayuki Yano
  University of Toronto
  Mar 22-28, 2020
• uzma yasmeen
  Comstas Islamabad Lahore campus
  Apr 19-25, 2020
• Felix Ye
  Johns Hopkins University
  Feb 16-22, 2020
• Mikhail Zaslavskiy
  Schlumberger
  Jan 27-Mar 13, 2020; Apr 20-24, 2020
• yangwen zhang
  University of Delaware
  Jan 27-Mar 19, 2020; Mar 23-27, 2020
• Xu Zhang
  Oklahoma State University
  Feb 16-22, 2020
• Jia Zhao
  Utah State University
  Feb 16-22, 2020; Apr 19-25, 2020
• Ming Zhong
  Johns Hopkins University
  Feb 16-22, 2020; Mar 22-28, 2020
• Cong Zhou
  Indiana University
  Apr 19-25, 2020
• Shouhao Zhou
  Penn State College of Medicine
  Apr 19-25, 2020
• Xueyu Zhu
  University of Iowa
  Feb 16-22, 2020; Apr 19-25, 2020
• Lingjiong Zhu
  Florida State University
  Apr 19-25, 2020
• Jorn Zimmerling
  University of Michigan
  Feb 16-22, 2020; Apr 20-24, 2020

Visit dates listed on the participant list may be tentative and subject to change without notice.

• Justin Baker, Elena Cherkaev, Akil Narayan, Bao Wang, Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs, arXiv:2202.12373, 2023.
• Petar Mlinarić, Serkan Gugercin, A Unifying Framework for Interpolatory \(\boldsymbol\mathcalL_2 \)-Optimal Reduced-Order Modeling, SIAM Journal on Numerical Analysis 61 (2023) no. 5, 2133–2156.
• Petar Mlinarić, Serkan Gugercin, $\mathcalL_2$-optimal Reduced-order Modeling Using Parameter-separable Forms, arXiv:2206.02929, 2022.
• Peter Benner, Serkan Gugercin, Steffen W. R. Werner, A unifying framework for tangential interpolation of structured bilinear control systems, Numerische Mathematik 155 (2023) no. 3–4, 445–483.
• Misha E. Kilmer, Arvind K. Saibaba, Structured Matrix Approximations via Tensor Decompositions, arXiv:2105.01170, 2021.
• Yiming Xu, Akil Narayan, Hoang Tran, Clayton G. Webster, Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing, arXiv:2004.05873, 2021.
• Jarom D. Hogue, Robert M. Kirby, Akil Narayan, Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures, arXiv:2204.04273, 2023.
• Michael Penwarden, Shandian Zhe, Akil Narayan, Robert M. Kirby, Multifidelity modeling for Physics-Informed Neural Networks (PINNs), Journal of Computational Physics 451 (2022), 110844.
• Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan, Variational inference for nonlinear inverse problems via neural net kernels: Comparison to Bayesian neural networks, application to topology optimization, Computer Methods in Applied Mechanics and Engineering 400 (2022), 115495.
• Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan, Quadrature Sampling of Parametric Models with Bi-fidelity Boosting, arXiv:2209.05705, 2022.
• Ion Victor Gosea, Serkan Gugercin, Steffen W. R. Werner, Structured barycentric forms for interpolation-based data-driven reduced modeling of second-order systems, arXiv:2303.12576, 2023.
• Boris Kramer, Serkan Gugercin, Jeff Borggaard, Nonlinear Balanced Truncation: Part 2 -- Model Reduction on Manifolds, arXiv:2302.02036, 2023.
• Boris Kramer, Serkan Gugercin, Jeff Borggaard, Linus Balicki, Nonlinear Balanced Truncation: Part 1-Computing Energy Functions, arXiv:2209.07645, 2022.
• Zhichao Peng, Yanlai Chen, Yingda Cheng, Fengyan Li, A micro-macro decomposed reduced basis method for the time-dependent radiative transfer equation, arXiv:2211.04677, 2022.
• Huy Dinh, Harbir Antil, Yanlai Chen, Elena Cherkaev, Akil Narayan, Model reduction for fractional elliptic problems using Kato's formula, arXiv:1904.09332, 2019.
• Yanlai Chen, Sigal Gottlieb, Lijie Ji, Yvon Maday, An EIM-degradation free reduced basis method via over collocation and residual hyper reduction-based error estimation, arXiv:2101.05902, 2021.
• Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan, Quadrature Sampling of Parametric Models with Bi-fidelity Boosting, arXiv preprint arXiv:2209.05705 (2022).
• Daniele Venturi, Alec Dektor, Spectral methods for nonlinear functionals and functional differential equations, Research in the Mathematical Sciences 8 (2021) no. 2, 27.
• Jarom D Hogue, Robert M Kirby, Akil Narayan, Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures, arXiv preprint arXiv:2204.04273 (2022).
• Michael Penwarden, Shandian Zhe, Akil Narayan, Robert M Kirby, Multifidelity modeling for physics-informed neural networks (PINNs), Journal of Computational Physics 451 (2022), 110844.
• Justin Baker, Elena Cherkaev, Akil Narayan, Bao Wang, Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEs, Journal of Scientific Computing 95 (2023) no. 2, 54.
• Vahid Keshavarzzadeh, Robert M Kirby, Akil Narayan, Variational inference for nonlinear inverse problems via neural net kernels: Comparison to Bayesian neural networks, application to topology optimization, Computer Methods in Applied Mechanics and Engineering 400 (2022), 115495.
• Misha E Kilmer, Arvind K Saibaba, Structured Matrix Approximations via Tensor Decompositions, arXiv preprint arXiv:2105.01170 (2021).
• Akil Narayan, Liang Yan, Tao Zhou, Optimal design for kernel interpolation: Applications to uncertainty quantification, Journal of Computational Physics 430 (2021), 110094.
• Yanlai Chen, Lijie Ji, Akil Narayan, Zhenli Xu, L1-based reduced over collocation and hyper reduction for steady state and time-dependent nonlinear equations, Journal of Scientific Computing 87 (2021) no. 1, 1--21.
• Elizabeth Qian, Jemima M Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R Kramer, Akil Narayan, Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference, Journal of Scientific Computing 91 (2022) no. 1, 1--30.
• Peter Benner, Serkan Gugercin, Steffen WR Werner, Structure-preserving interpolation for model reduction of parametric bilinear systems, Automatica 132 (2021), 109799.
• Ion Victor Gosea, Serkan Gugercin, The AAA framework for modeling linear dynamical systems with quadratic output, arXiv preprint arXiv:2005.10316 (2020).
• Andrea Carracedo Rodriguez, Serkan Gugercin, The p-AAA algorithm for data driven modeling of parametric dynamical systems, arXiv preprint arXiv:2003.06536 (2020).
• Vahid Keshavarzzadeh, Robert M Kirby, Akil Narayan, Multilevel designed quadrature for partial differential equations with random inputs, SIAM Journal on Scientific Computing 43 (2021) no. 2, A1412--A1440.
• Dihan Dai, Yekaterina Epshteyn, Akil Narayan, Non-Dissipative and Structure-Preserving Emulators via Spherical Optimization, arXiv preprint arXiv:2108.12053 (2021).
• Yiming Xu, Akil Narayan, Randomized weakly admissible meshes, 2021.
• Vahid Keshavarzzadeh, Robert M Kirby, Akil Narayan, Robust topology optimization with low rank approximation using artificial neural networks, Computational Mechanics 68 (2021) no. 6, 1297--1323.
• Roland Pulch, Akil Narayan, Tatjana Stykel, Sensitivity analysis of random linear differential--algebraic equations using system norms, Journal of Computational and Applied Mathematics 397 (2021), 113666.
• Ling Guo, Akil Narayan, Yongle Liu, Tao Zhou, Sparse approximation of data-driven Polynomial Chaos expansions: an induced sampling approach, arXiv preprint arXiv:2008.10121 (2020).
• Mani Razi, Robert Mike Kirby, Akil Narayan, Kernel optimization for low-rank multifidelity algorithms, International Journal for Uncertainty Quantification 11 (2021) no. 1.
• Peter Benner, Serkan Gugercin, Steffen WR Werner, Structure-preserving interpolation of bilinear control systems, Advances in Computational Mathematics 47 (2021) no. 3, 1--38.
• Huy Dinh, Harbir Antil, Yanlai Chen, Elena Cherkaev, Akil Narayan, Model reduction for fractional elliptic problems using Kato's formula, arXiv preprint arXiv:1904.09332 (2019).
• Brian B Avants, Nicholas J Tustison, James R Stone, Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data, arXiv preprint arXiv:2006.06545 (2020).
• Gang Chen, Peter B Monk, Yangwen Zhang, L\^∞ Norm Error Estimates for HDG Methods Applied to the Poisson Equation with an Application to the Dirichlet Boundary Control Problem, SIAM Journal on Numerical Analysis 59 (2021) no. 2, 720--745.
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