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20102026
most citedFundamental Limits and Tradeoffs on Disturbance Propagation in Large-Scale Dynamical Networks

11 citations · 29 across the 34 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.LG2025

Generative Myopia: Why Diffusion Models Fail at Structure

Milad Siami

Graph Diffusion Models (GDMs) optimize for statistical likelihood, implicitly acting as \textbf{frequency filters} that favor abundant substructures over spectrally critical ones.…

eess.SY2025

Distributed Adaptive Estimation with ISS Guarantees for Sensor Networks with Partially Unknown Source Dynamics

Moh Kamalul Wafi, Hamidreza Montazeri Hedesh, Milad Siami

This paper studies distributed adaptive estimation over sensor networks with partially unknown source dynamics. We present parallel continuous-time and discrete-time designs in whi…

eess.SY2025

Delay Independent Safe Control with Neural Networks: Positive Lur'e Certificates for Risk Aware Autonomy

Hamidreza Montazeri Hedesh, Milad Siami

We present a risk-aware safety certification method for autonomous, learning enabled control systems. Focusing on two realistic risks, state/input delays and interval matrix uncert…

cs.RO2025

Non-submodular Visual Attention for Robot Navigation

Reza Vafaee, Kian Behzad, Milad Siami +2

This paper presents a task-oriented computational framework to enhance Visual-Inertial Navigation (VIN) in robots, addressing challenges such as limited time and energy resources.…

cs.RO2025★ 2 cited

Real-Time Adaptive Motion Planning via Point Cloud-Guided, Energy-Based Diffusion and Potential Fields

Wondmgezahu Teshome, Kian Behzad, Octavia Camps +3

Motivated by the problem of pursuit-evasion, we present a motion planning framework that combines energy-based diffusion models with artificial potential fields for robust real tim…

eess.SY2025

Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints

Hamidreza Montazeri Hedesh, Moh Kamalul Wafi, Milad Siami

We study the local stability of nonlinear systems in the Lur'e form with static nonlinear feedback realized by feedforward neural networks (FFNNs). By leveraging positivity system…

eess.SY2025★ 2 cited

Robust Stability Analysis of Positive Lure System with Neural Network Feedback

Hamidreza Montazeri Hedesh, Moh. Kamalul Wafi, Bahram Shafai +1

This paper investigates the robustness of the Lur'e problem under positivity constraints, drawing on results from the positive Aizerman conjecture and robustness properties of Metz…