Scholar
Keivan Faghih Niresi
Google Scholar ID: 3qQfrzwAAAAJ
EPFL
Machine Learning
Signal Processing
Inverse Problems
Computational Sensing
Hyperspectral Imaging
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Citations & Impact
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Citations
56
H-index
4
i10-index
3
Publications
7
Co-authors
15
list available
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Publications
7 items
GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection
2026
Cited
0
Relational and Sequential Conformal Inference for Energy Time Series over Graphs via Foundation Models
2026
Cited
0
Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks
2026
Cited
0
Time-Vertex Machine Learning for Optimal Sensor Placement in Temporal Graph Signals: Applications in Structural Health Monitoring
2025
Cited
0
RINS-T: Robust Implicit Neural Solvers for Time Series Linear Inverse Problems
2025
Cited
0
From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM
2025
Cited
0
Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion
arXiv.org · 2024
Cited
0
Resume (English only)
Co-authors
15 total
Olga Fink
Laboratory of Intelligent Maintenance and Operations Systems, EPFL
Co-author 2
Chong-Yung Chi
Professor, Institute of Communications Engineering, & Department of Electrical Engineering National Tsing Hua University
Mengjie Zhao
PhD, EPFL
Ismail Nejjar
Post-doc researcher, EPFL
Gaëtan Frusque
EPFL Lausanne
Leandro Von Krannichfeldt
Swiss Federal Technology Institute of Lausanne
Hao Dong
ETH Zürich
