2 code implementations • 9 Aug 2023 • Peike Li, BoYu Chen, Yao Yao, Yikai Wang, Allen Wang, Alex Wang
Despite the task's significance, prevailing generative models exhibit limitations in music quality, computational efficiency, and generalization.
Ranked #1 on Text-to-Music Generation on MusicCaps
1 code implementation • 21 Sep 2021 • Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams
The presented methods address a wide range of representations for uncertain predictions including both Gaussian and non-Gaussian mixture models to predict both agent positions and control inputs conditioned on the scene contexts.
1 code implementation • 29 Jan 2021 • Ashkan Jasour, Allen Wang, Brian C. Williams
Moments of uncertain states can be used in estimation, planning, control, and safety analysis of stochastic dynamical systems.
1 code implementation • 27 May 2020 • Allen Wang, Xin Huang, Ashkan Jasour, Brian Williams
The presented methods address a wide range of representations for uncertain predictions including both Gaussian and non-Gaussian mixture models for predictions of both agent positions and controls.
no code implementations • 23 Mar 2020 • Allen Wang, Ashkan Jasour, Brian Williams
Chance-constrained motion planning requires uncertainty in dynamics to be propagated into uncertainty in state.
no code implementations • 19 Dec 2018 • Allen Wang, Guangyi Yue
The Mullineux involution is an important map on $p$-regular partitions that originates from the modular representation theory of $\mathcal{S}_n$.
Combinatorics Representation Theory