no code implementations • 25 Dec 2023 • Mohamed Abdalmoaty, Jared Miller, Mingzhou Yin, Roy S. Smith
We propose a computationally tractable method for the identification of stable canonical discrete-time rational transfer function models, using frequency domain data.
no code implementations • 14 Dec 2022 • Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Mario Sznaier, Octavia Camps, Jennifer Dy
Adversarial attacks hamper the decision-making ability of neural networks by perturbing the input signal.
no code implementations • 14 Sep 2020 • Jared Miller, Didier Henrion, Mario Sznaier
Peak Estimation aims to find the maximum value of a state function achieved by a dynamical system.
Systems and Control Systems and Control Algebraic Geometry Dynamical Systems 37M99
1 code implementation • 1 Sep 2020 • Jared Miller, M. Ali Al-Radhawi, Eduardo D. Sontag
The competition for resources between host and circuit genes can be ameliorated by splitting the ribosome pool by use of orthogonal ribosomes, where the circuit genes are exclusively translated by mutated ribosomes.
no code implementations • NeurIPS 2019 • Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer Dy
While KDR methods can be easily solved by keeping the most dominant eigenvectors of the kernel matrix, its features are no longer easy to interpret.
no code implementations • 6 Sep 2019 • Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer Dy
While KDR methods can be easily solved by keeping the most dominant eigenvectors of the kernel matrix, its features are no longer easy to interpret.
no code implementations • 6 Sep 2019 • Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer Dy
The Hilbert Schmidt Independence Criterion (HSIC) is a kernel dependence measure that has applications in various aspects of machine learning.