Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs. - Yuan Li 006; Benjamin Mark; Garvesh Raskutti; Rebecca Willett; Hyebin Song; David Neiman (SIAM J. Math. Data Sci., 2020)

Scalable and Explainable Outfit Generation. - Alexander Lorbert; David Neiman; Arik Poznanski; Eduard Oks; Larry Davis 001 (CVPR Workshops, 2021)

Improved Performance of CPG Parameter Inference for Path-following Control of Legged Robots. - Nathan D. Kent; David Neiman; Matthew Travers; Thomas M. Howard (IROS, 2022)

Tighter Bounds on Directed Ramsey Number R(7). - David Neiman; John Mackey; Marijn Heule (Graphs Comb., 2022)

Dynamic Route Guidance in Vehicle Networks by Simulating Future Traffic Patterns. - David Neiman; Zachary B. Rubinstein; Stephen F. Smith (FLAIRS, 2023)