@article{keith2026analysis,title={Analysis of Bregman Proximal Point for the Obstacle Problem},author={Keith, Brendan and Qin, Haojun and Reyes Rivas, Noe},journal={arXiv preprint arXiv:2609.23007},year={2026},}
Exponential Adaptive Smoothing and Importance Sampling for Optimization of the Conditional Value-at-Risk
Will Asness, Brendan Keith, Boyan Lazarov, Anton Malandii, and Stan Uryasev
@article{asness2026exponential,title={Exponential Adaptive Smoothing and Importance Sampling for Optimization of the Conditional Value-at-Risk},author={Asness, Will and Keith, Brendan and Lazarov, Boyan and Malandii, Anton and Uryasev, Stan},journal={arXiv preprint arXiv:2606.11515},year={2026},}
The SiMPL Method for Multi-Material Topology Optimization
Peter Gangl, Brendan Keith, Dohyun Kim, Boyan S. Lazarov, and Thomas M. Surowiec
@article{gangl2026simpl,title={The SiMPL Method for Multi-Material Topology Optimization},author={Gangl, Peter and Keith, Brendan and Kim, Dohyun and Lazarov, Boyan S. and Surowiec, Thomas M.},journal={arXiv preprint arXiv:2605.11994},year={2026},}
@article{keith2026proximal,title={Proximal Galerkin for the isometry constraint},author={Keith, Brendan and Marazzato, Frédéric},journal={arXiv preprint arXiv:2605.07054},year={2026},}
Proximal Galerkin for Phase Field Fracture
Miguel Castillón, Biswajit Khara, Jørgen S. Dokken, Thomas M. Surowiec, Brendan Keith, and Yuri Bazilevs
@article{castillon2026proximal,title={Proximal Galerkin for Phase Field Fracture},author={Castillón, Miguel and Khara, Biswajit and Dokken, Jørgen S. and Surowiec, Thomas M. and Keith, Brendan and Bazilevs, Yuri},journal={arXiv preprint arXiv:2604.26210},year={2026},}
Proximal Discontinuous Galerkin Methods for Variational Inequalities
Alexandre Ern, Brendan Keith, Dohyun Kim, Rami Masri, and Beatrice Riviere
@article{ern2026proximal,title={Proximal Discontinuous Galerkin Methods for Variational Inequalities},author={Ern, Alexandre and Keith, Brendan and Kim, Dohyun and Masri, Rami and Riviere, Beatrice},journal={arXiv preprint arXiv:2604.19708},year={2026},}
The proximal Galerkin method for non-symmetric variational inequalities
Guosheng Fu, Brendan Keith, Dohyun Kim, Rami Masri, and Will Pazner
@article{fu2026proximal,title={The proximal Galerkin method for non-symmetric variational inequalities},author={Fu, Guosheng and Keith, Brendan and Kim, Dohyun and Masri, Rami and Pazner, Will},journal={arXiv preprint arXiv:2602.14967},year={2026},}
Information geometric regularization for computing sensitivities of flows with shocks
@article{schafer2026information,title={Information geometric regularization for computing sensitivities of flows with shocks},author={Schäfer, Florian},journal={arXiv preprint arXiv:2608.09759},year={2026},}
Discontinuous Galerkin Semidiscretization of the Information Geometric Regularized Compressible Euler Equations
Brook Eyob, Jesus Arias, Spencer H. Bryngelson, and Florian Schäfer
@article{eyob2026discontinuous,title={Discontinuous Galerkin Semidiscretization of the Information Geometric Regularized Compressible Euler Equations},author={Eyob, Brook and Arias, Jesus and Bryngelson, Spencer H. and Schäfer, Florian},journal={arXiv preprint arXiv:2608.02223},year={2026},}
Shock solutions for the one-dimensional information geometric regularization of compressible flow
William Barham, Brian K. Tran, Ben S. Southworth, and Florian Schäfer
@article{barham2026shock,title={Shock solutions for the one-dimensional information geometric regularization of compressible flow},author={Barham, William and Tran, Brian K. and Southworth, Ben S. and Schäfer, Florian},journal={arXiv preprint arXiv:2607.12693},year={2026},}
Shocks without shock capturing: Information geometric regularization of finite volume methods for Navier–Stokes-like problems
Anand Radhakrishnan, Benjamin Wilfong, Spencer H. Bryngelson, and Florian Schäfer
Computer Methods in Applied Mechanics and Engineering, 2026
@article{radhakrishnan2026shocks,title={Shocks without shock capturing: Information geometric regularization of finite volume methods for Navier--Stokes-like problems},author={Radhakrishnan, Anand and Wilfong, Benjamin and Bryngelson, Spencer H. and Schäfer, Florian},journal={Computer Methods in Applied Mechanics and Engineering},volume={461},pages={119216},year={2026},doi={10.1016/j.cma.2026.119216},}
A review of weakly enforced Dirichlet boundary conditions in computational flow analysis
@article{langlois2026exact,title={Exact Total Variation Minimizers as Non-Oscillatory Limiters in High-Order Methods for Conservation Laws},author={Langlois, Gabriel P. and Darbon, Jerome and Lai, Rongjie and Shu, Chi-Wang and Zhang, Xiangxiong},journal={arXiv preprint arXiv:2607.27416},year={2026},}
A naturally sharpened level-set formulation for incompressible free-surface flows
Jongmin Rim, Jinhui Yan, and Yuri Bazilevs
Computer Methods in Applied Mechanics and Engineering, 2026
@article{rim2026naturally,title={A naturally sharpened level-set formulation for incompressible free-surface flows},author={Rim, Jongmin and Yan, Jinhui and Bazilevs, Yuri},journal={Computer Methods in Applied Mechanics and Engineering},volume={453},pages={118798},year={2026},doi={10.1016/j.cma.2026.118798},}
Efficient Diffusion Models under Nonconvex Equality and Inequality Constraints via Landing
Kijung Jeon, Michael Muehlebach, and Molei Tao
In International Conference on Machine Learning (ICML), 2026
@inproceedings{jeon2026efficient,title={Efficient Diffusion Models under Nonconvex Equality and Inequality Constraints via Landing},author={Jeon, Kijung and Muehlebach, Michael and Tao, Molei},booktitle={International Conference on Machine Learning (ICML)},year={2026},}
2025
A priori error analysis of the proximal Galerkin method
@article{keith2025priori,title={A priori error analysis of the proximal Galerkin method},author={Keith, Brendan and Masri, Rami and Zeinhofer, Marius},journal={arXiv preprint arXiv:2507.13516},year={2025},}
Hamiltonian Information Geometric Regularization of the Compressible Euler Equations
William Barham, Brian K. Tran, Ben S. Southworth, and Florian Schäfer
@article{barham2025hamiltonian,title={Hamiltonian Information Geometric Regularization of the Compressible Euler Equations},author={Barham, William and Tran, Brian K. and Southworth, Ben S. and Schäfer, Florian},journal={arXiv preprint arXiv:2512.13948},year={2025},}
Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing
Kijung Jeon, Michael Muehlebach, and Molei Tao
In Advances in Neural Information Processing Systems (NeurIPS), 2025
@inproceedings{jeon2025fast,title={Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing},author={Jeon, Kijung and Muehlebach, Michael and Tao, Molei},booktitle={Advances in Neural Information Processing Systems (NeurIPS)},year={2025},}