3 citations · 4 across the 11 of their papers we have counts for
12 papers
Defense Filters for Robust Learning of Partially Observed Dynamical Systems
Jihun Kim, Javad Lavaei
Robust estimation of unknown system dynamics from partial observations under attack is a core challenge in learning for control, increasingly critical in multi-agent networks subje…
Structural Correspondence and Universal Approximation in Diagonal plus Low-Rank Neural Networks
Ying Chen, Aoxi Li, Jihun Kim +1
The massive computational costs of scaling modern deep learning architectures have driven the widespread use of parameter-efficient low-rank structures, such as LoRA and low-rank f…
Huber-based Robust System Identification with Near-Optimal Guarantees Across Independent and Adversarial Regimes
Jihun Kim, Javad Lavaei
Dynamical systems can confront one of two extreme types of disturbances: persistent zero-mean independent noise, and sparse nonzero-mean adversarial attacks, depending on the speci…
System Identification under Noise and Attack Regimes: Agnostic and Composite Robustness
Jihun Kim, Javad Lavaei
Dynamical systems often confront persistent zero-mean independent noise and/or sparse nonzero-mean adversarial attacks. While mean-based estimators like least-squares handle the fo…
Bridging Batch and Streaming Estimations to System Identification under Adversarial Attacks
Jihun Kim, Javad Lavaei
System identification in modern engineering systems faces emerging challenges from unanticipated adversarial attacks beyond existing detection mechanisms. In this work, we obtain a…
Revisiting the Geometrically Decaying Step Size: Linear Convergence for Smooth or Non-Smooth Functions
Jihun Kim
We revisit the geometrically decaying step size given a positive inverse condition number, under which a locally Lipschitz function shows linear convergence. The positivity does no…
On the Sharp Input-Output Analysis of Nonlinear Systems under Adversarial Attacks
Jihun Kim, Yuchen Fang, Javad Lavaei
This paper is concerned with learning the input-output mapping of general nonlinear dynamical systems. While the existing literature focuses on Gaussian inputs and benign disturban…
System Identification from Partial Observations under Adversarial Attacks
Jihun Kim, Javad Lavaei
This paper is concerned with the partially observed linear system identification, where the goal is to obtain reasonably accurate estimation of the balanced truncation of the true…
Subgradient Method for System Identification with Non-Smooth Objectives
Baturalp Yalcin, Jihun Kim, Javad Lavaei
This paper investigates a subgradient-based algorithm to solve the system identification problem for linear time-invariant systems with non-smooth objectives. This is essential for…
Online Bandit Nonlinear Control with Dynamic Batch Length and Adaptive Learning Rate
Jihun Kim, Javad Lavaei
This paper is concerned with the online bandit nonlinear control, which aims to learn the best stabilizing controller from a pool of stabilizing and destabilizing controllers of un…
Prevailing against Adversarial Noncentral Disturbances: Exact Recovery of Linear Systems with the -norm Estimator
Jihun Kim, Javad Lavaei
This paper studies the linear system identification problem in the general case where the disturbance is sub-Gaussian, correlated, and possibly adversarial. First, we consider the…
The landscape of deterministic and stochastic optimal control problems: One-shot Optimization versus Dynamic Programming
Jihun Kim, Yuhao Ding, Yingjie Bi +1
Optimal control problems can be solved via a one-shot (single) optimization or a sequence of optimization using dynamic programming (DP). However, the computation of their global o…