Fred Daum

17 papers C 9Misc 1Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS).
CoRR
Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille L. Bilodeau, Keith Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia S. Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutierrez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang
2023 J jnl
On the Design of Stochastic Particle Flow Filters.
IEEE Trans. Aerosp. Electron. Syst.
Liyi Dai, Fred Daum
2022 C conf
On the Role of the Diffusion Matrix in Stiffness Mitigation for Stochastic Particle Flow Filters.
FUSION
Liyi Dai, Fred Daum
2022 J jnl
Stiffness Mitigation in Stochastic Particle Flow Filters.
IEEE Trans. Aerosp. Electron. Syst.
Liyi Dai, Fred Daum
2021 C conf
Stability and Convergence of Stochastic Particle Flow Filters.
FUSION
Liyi Dai, Fred Daum
2020 J jnl
Bias CRLB in Sine Space for a Three-Dimensional Sensor.
IEEE Trans. Aerosp. Electron. Syst.
Michael Kowalski, Yaakov Bar-Shalom, Peter Willett, Djedjiga Belfadel, Fred Daum
2018 C conf
New Theory and Numerical Results for Gromov's Method for Stochastic Particle Flow Filters.
FUSION
Fred Daum, Jim Huang, Arjang Noushin
2017 C conf
Multidimensional Cramér-Rao-Leibniz lower bound for vector-measurement-based likelihood functions with parameter-dependent support.
FUSION
Qin Lu, Yaakov Bar-Shalom, Peter Willett, Francesco A. N. Palmieri, Fred Daum
2017 J jnl
The Multidimensional Cramér-Rao-Leibniz Lower Bound for Likelihood Functions With Parameter-Dependent Support.
IEEE Trans. Aerosp. Electron. Syst.
Qin Lu, Yaakov Bar-Shalom, Peter Willett, Francesco Palmieri, Fred Daum
2016 C conf
Adaptive step size approach to homotopy-based particle filtering Bayesian update.
FUSION
Shozo Mori, Fred Daum, Joel Douglas
2016 — conf
Gromov's method for Bayesian stochastic particle flow: A simple exact formula for Q.
MFI
Fred Daum, Jim Huang, Arjang Noushin
2016 C conf
Seven dubious methods to compute optimal Q for Bayesian stochastic particle flow.
FUSION
Fred Daum
2015 C conf
Renormalization group flow in k-space for nonlinear filters, Bayesian decisions and transport.
FUSION
Fred Daum, Jim Huang
2013 C conf
Particle flow for nonlinear filters, Bayesian decisions and transport.
FUSION
Fred Daum, Jim Huang
2012 C conf
Particle flow and Monge-Kantorovich transport.
FUSION
Fred Daum, Jim Huang
2011 Misc conf
Particle flow for nonlinear filters.
ICASSP
Fred Daum, Jim Huang
2008 — conf
MIMO radar: Snake oil or good idea?
ACSCC
Fred Daum, Jim Huang