Tag: CNEL

Dr. Kan Li is a research scientist at the University of Florida. He presents “Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems” Thursday, Nov. 7 at 1:00pm in MALA 5050.

Maosheng Yang is a PhD student at the department of Intelligent Systems of TU Delft, the Netherlands. He presents “Modeling and Learning Simplicial Signals—an Edge Case” Wednesday, March 20 at 3:00pm in MALA 3003. Presented by the Computational NeuroEngineering Laboratory.

Dr. Bosen Lian is currently an assistant professor with the Electrical and Computer Engineering Department at Auburn University. He presents “Distributed Estimation, Objective Reconstruction, and Efficient Control of Multiagent Systems” Wednesday, Nov. 29 at 3:00pm in LAR 229.

Chi Ding is currently a third-year mathematics PhD student at the University of Florida. He presents “Learned Alternating Minimization Algorithm for Sparse-View CT Reconstruction: A Multi-Modal Approach” Wednesday, Nov. 15 at 3:00pm in NEB 589.

Dr. Wenqian Xue is a postdoctoral associate in the Department of Electrical & Computer Engineering at the University of Florida. She presents “Data-Driven Model-Free Inverse Reinforcement Learning for Linear Systems” Wednesday, Oct. 18 at 3:00pm in NEB 589.

Ran Dou is a Ph.D. student in the Department of Electrical & Computer Engineering at the University of Florida and a research assistant with CNEL. He presents “Dual-stream External Memory for Long-term Dependency” Wednesday, Sept. 27 at 3:00pm in NEB 589.

“Min_LQG games and collective discrete choice problems” Wednesday, April 19 at 3:00pm NEB 409 Join via Zoom Abstract We introduce a class of finite horizon linear quadratic Gaussian games involving distinct potential finite destination states, interpreted as discrete choices under social pressure. The model provides stylized interpretations of opinion swings in elections, the dynamics of […]

Dr. Ben Haeffele is an associate research scientist in the Mathematical Institute for Data Science and the Center for Imaging Science at Johns Hopkins University. He presents “A Convex Lens for Non-Convex Learning” Wednesday, March 22 at 3:00pm in NEB 409.

Firas Laakom is a doctoral student at Tampere University, Finland. He presents “Feature Diversity Regularization for Neural Networks” Wednesday, March 1 at 3:00pm in NEB 409.

Bo Hu is a PhD student in the Department of Electrical & Computer Engineering at the University of Florida. He presents “Quantification of Statistical Dependence in Random Processes” Wednesday, Feb. 8 at 3:00pm in NEB 409.