31 citations · 43 across the 6 of their papers we have counts for
13 papers
A Globally Convergent LP and SOCP-based algorithm for Semidefinite Programming
Biel Roig-Solvas, Mario Sznaier
Semidefinite programs (SDP) are one of the most versatile frameworks in numerical optimization, serving as generalizations of many conic programs and as relaxations of NP-hard comb…
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective
Armand Comas, Sandesh Ghimire, Haolin Li +2
Human interpretation of the world encompasses the use of symbols to categorize sensory inputs and compose them in a hierarchical manner. One of the long-term objectives of Computer…
Peak Estimation for Uncertain and Switched Systems
Jared Miller, Didier Henrion, Mario Sznaier +1
Peak estimation bounds extreme values of a function of state along trajectories of a dynamical system. This paper focuses on extending peak estimation to continuous and discrete se…
A Convex Optimization Approach to Learning Koopman Operators
Mario Sznaier
Koopman operators provide tractable means of learning linear approximations of non-linear dynamics. Many approaches have been proposed to find these operators, typically based upon…
Key Frame Proposal Network for Efficient Pose Estimation in Videos
Yuexi Zhang, Yin Wang, Octavia Camps +1
Human pose estimation in video relies on local information by either estimating each frame independently or tracking poses across frames. In this paper, we propose a novel method c…
Solving Interpretable Kernel Dimension Reduction
Chieh Wu, Jared Miller, Yale Chang +2
Kernel dimensionality reduction (KDR) algorithms find a low dimensional representation of the original data by optimizing kernel dependency measures that are capable of capturing n…