4 citations · 4 across the 7 of their papers we have counts for
7 papers
PRISM: Principled Reference Identification for Schrodinger Bridge Model
Forouzan Fallah, Yezhou Yang
Schrödinger bridge models restore a clean signal from a degraded observation by following the conditional bridges of a reference process, yet this reference is chosen heuristically…
Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction
Forouzan Fallah, Chia Yu Hsu, Wenwen Li +2
Frequent cloud cover severely limits the usability of Sentinel-2 (S2) optical time series for Earth surface monitoring. Sentinel-1 (S1) SAR provides all-weather complementary obser…
Semantic-Guided Cross-Sensor Super Resolution of Remote Sensing Images: A Gated Dual Conditioning Flow Matching Model
Forouzan Fallah, Wenwen Li, Chia-Yu Hsu +3
High spatial resolution satellite imagery is critical for monitoring fine-scale Earth surface processes, but is often limited by cost and revisit time. This work studies cross-sens…
TextInVision: Text and Prompt Complexity Driven Visual Text Generation Benchmark
Forouzan Fallah, Maitreya Patel, Agneet Chatterjee +3
Generating images with embedded text is crucial for the automatic production of visual and multimodal documents, such as educational materials and advertisements. However, existing…
Deep Reinforcement Learning for Online Error Detection in Cyber-Physical Systems
Seyyedamirhossein Saeidi, Forouzan Fallah, Saeed Samieezafarghandi +1
Reliability is one of the major design criteria in Cyber-Physical Systems (CPSs). This is because of the existence of some critical applications in CPSs and their failure is catast…
A Novel Neuromorphic Processors Realization of Spiking Deep Reinforcement Learning for Portfolio Management
Seyyed Amirhossein Saeidi, Forouzan Fallah, Soroush Barmaki +1
The process of continuously reallocating funds into financial assets, aiming to increase the expected return of investment and minimizing the risk, is known as portfolio management…
Integrated Fault Diagnosis and Control Design for DER Inverters using Machine Learning Methods
Forouzan Fallah, Amin Ramezani, Ali Mehrizi-Sani
This paper employs a supervised machine learning (ML) algorithm to propose an integrated fault detection and diagnosis (FDD) and fault-tolerant control (FTC) strategy to detect, di…