MANFREDI, PAOLO
MANFREDI, PAOLO
Dipartimento di Elettronica e Telecomunicazioni
024543
A hybrid polynomial chaos expansion – Gaussian process regression method for Bayesian uncertainty quantification and sensitivity analysis
2025 Manfredi, Paolo
Benchmark datasets for the PCE-GPR Toolbox
2025 Manfredi, Paolo
Impact of Fuzz Button Degradation on AM and PRBS Signal Transmission
2025 Wang, Wenjia; Gao, Jinchun; Manfredi, Paolo; Stievano, Igor S.
PCE-GPR: A toolbox for high-dimensional uncertainty quantification
2025 Manfredi, Paolo
Size Assessment of Power Cable Shield Corrosion Defects Using Double-Frequency Time–Frequency-Domain Reflectometry
2025 Zhao, Kun; Grivet-Talocia, Stefano; Manfredi, Paolo; Yan, Yuan; Li, Hongjie
A Hybrid Polynomial Chaos Expansion and Gaussian Process Regression Method for Forward Uncertainty Quantification of Integrated Circuits
2024 Manfredi, Paolo; Trinchero, Riccardo
Compressed SPICE-Compliant IC Models via Machine Learning Kernel Regression
2024 Atlante, Marco; Trinchero, Riccardo; Bradde, Tommaso; Manfredi, Paolo; Stievano, Igor S.
Conservative Gaussian Process Models for Uncertainty Quantification and Bayesian Optimization in Signal Integrity Applications
2024 Manfredi, Paolo
Efficient Parametric Assessment of Worst-Case Voltage Droop in Power Delivery Networks
2024 Bradde, Tommaso; Carlucci, Antonio; Trinchero, Riccardo; Manfredi, Paolo; Grivet-Talocia, Stefano
Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines
2024 Manfredi, Paolo; Trinchero, Riccardo
PROBABILISTIC UNCERTAINTY PROPAGATION USING GAUSSIAN PROCESS SURROGATES
2024 Manfredi, Paolo
SPICE‐compliant load flow analysis of power distribution networks with behavioral loads
2024 Manfredi, Paolo; Trinchero, Riccardo; Memon, ZAIN ANWER; Stievano, Igor S.
Stochastic and multi-objective design of photonic devices with machine learning
2024 Manfredi, Paolo; Waqas, Abi; Melati, Daniele
Uncertainty Quantification and Sensitivity Analysis of Crosstalk in PCB Lines via the Combination of Machine Learning and Polynomial Chaos Expansion
2024 Manfredi, Paolo; Trinchero, Riccardo
Vector-Valued Kernel Ridge Regression for the Modeling of the Scattering Parameters of a Slotted Ground PCB Structure
2024 Soleimani, Nastaran; Bradde, Tommaso; Manfredi, Paolo; Stievano, Igor; Trinchero, Riccardo
A Stochastic Active Learning Strategy for Gaussian Process Models with Application to the Uncertainty Quantification of Signal Integrity
2023 Manfredi, Paolo
Conservative Surrogate Modeling of Crosstalk with Application to Uncertainty Quantification
2023 Manfredi, Paolo
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier
2023 Soleimani, Nastaran; Manfredi, Paolo; Trinchero, Riccardo
Probabilistic Uncertainty Quantification of Microwave Circuits Using Gaussian Processes
2023 Manfredi, Paolo
Subwavelength metamaterial devices with optimization and machine learning
2023 Melati, Daniele; Mokeddem, Zindine; Nuño Ruano, Paula; Cassan, Eric; Marris-Morini, Delphine; Vivien, Laurent; Alonso-Ramos, Carlos; Grinberg, Yuri; Al-Digeil, Muhammad; Xu, Dan-Xia; Milanizadeh, Maziyar; Zhang, Jianhao; Schmid, Jens H.; Cheben, Pavel; Khajavi, Shahrzad; Ye, Winnie N.; Waqas, Abi; Manfredi, Paolo
Citazione | Data di pubblicazione | Autori | File |
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A hybrid polynomial chaos expansion – Gaussian process regression method for Bayesian uncertainty quantification and sensitivity analysis / Manfredi, Paolo. - In: COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING. - ISSN 0045-7825. - 436:(2025), pp. 1-32. [10.1016/j.cma.2024.117693] | 1-gen-2025 | Manfredi, Paolo | jnl-2025-CMAME-PCE-GPR.pdf |
Benchmark datasets for the PCE-GPR Toolbox / Manfredi, Paolo. - (2025). [10.5281/zenodo.15349690] | 1-gen-2025 | Paolo Manfredi | - |
Impact of Fuzz Button Degradation on AM and PRBS Signal Transmission / Wang, Wenjia; Gao, Jinchun; Manfredi, Paolo; Stievano, Igor S.. - In: IET MICROWAVES, ANTENNAS & PROPAGATION. - ISSN 1751-8725. - ELETTRONICO. - 19:1(2025). [10.1049/mia2.70022] | 1-gen-2025 | Manfredi, PaoloStievano, Igor S. + | jnl-2025-IETMAP-CSC-OA.pdf |
PCE-GPR: A toolbox for high-dimensional uncertainty quantification / Manfredi, Paolo. - (2025). [10.5281/zenodo.15348860] | 1-gen-2025 | Paolo Manfredi | - |
Size Assessment of Power Cable Shield Corrosion Defects Using Double-Frequency Time–Frequency-Domain Reflectometry / Zhao, Kun; Grivet-Talocia, Stefano; Manfredi, Paolo; Yan, Yuan; Li, Hongjie. - In: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. - ISSN 0018-9456. - 74:(2025), pp. 1-11. [10.1109/tim.2025.3546393] | 1-gen-2025 | Zhao, KunGrivet-Talocia, StefanoManfredi, Paolo + | jnl-2025-tim-kunzhao-IEEE.pdf; jnl-2025-tim-kunzhao.pdf |
A Hybrid Polynomial Chaos Expansion and Gaussian Process Regression Method for Forward Uncertainty Quantification of Integrated Circuits / Manfredi, Paolo; Trinchero, Riccardo. - (2024), pp. 1-3. (Intervento presentato al convegno 33rd IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS 2024) tenutosi a Toronto (Can) nel 06-09 October 2024) [10.1109/epeps61853.2024.10754236]. | 1-gen-2024 | Manfredi, PaoloTrinchero, Riccardo | cnf-2024-EPEPS-PCE-GPR.pdf; manfredi-EPEPS-2024-PCE-GPR-final.pdf |
Compressed SPICE-Compliant IC Models via Machine Learning Kernel Regression / Atlante, Marco; Trinchero, Riccardo; Bradde, Tommaso; Manfredi, Paolo; Stievano, Igor S.. - ELETTRONICO. - (2024), pp. 1-3. (Intervento presentato al convegno IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) tenutosi a Bangalore (Ind) nel 17-19 December 2024) [10.1109/edaps64431.2024.10988464]. | 1-gen-2024 | Atlante, MarcoTrinchero, RiccardoBradde, TommasoManfredi, PaoloStievano, Igor S. | cnf-2024-EDAPS-IC-IEEE.pdf; cnf-2024-EDAPS-IC-Author.pdf |
Conservative Gaussian Process Models for Uncertainty Quantification and Bayesian Optimization in Signal Integrity Applications / Manfredi, Paolo. - In: IEEE TRANSACTIONS ON COMPONENTS, PACKAGING, AND MANUFACTURING TECHNOLOGY. - ISSN 2156-3950. - STAMPA. - 14:7(2024), pp. 1-12. [10.1109/tcpmt.2024.3390402] | 1-gen-2024 | Manfredi, Paolo | Manfredi-Conservative.pdf; Manfredi-Conservative.1.pdf |
Efficient Parametric Assessment of Worst-Case Voltage Droop in Power Delivery Networks / Bradde, Tommaso; Carlucci, Antonio; Trinchero, Riccardo; Manfredi, Paolo; Grivet-Talocia, Stefano. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 IEEE 33rd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) tenutosi a Toronto (Can) nel 06-09 October 2024) [10.1109/epeps61853.2024.10754453]. | 1-gen-2024 | Bradde, TommasoCarlucci, AntonioTrinchero, RiccardoManfredi, PaoloGrivet-Talocia, Stefano | cnf-2024-epeps-droop.pdf; cnf-2024-epeps-droop-IEEE-1-mini.pdf |
Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines / Manfredi, Paolo; Trinchero, Riccardo. - In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. - ISSN 0952-1976. - STAMPA. - 133:Part C(2024), pp. 1-20. [10.1016/j.engappai.2024.108182] | 1-gen-2024 | Manfredi, PaoloTrinchero, Riccardo | jnl-2024-EAAI-PCE-LSSVM.pdf |
PROBABILISTIC UNCERTAINTY PROPAGATION USING GAUSSIAN PROCESS SURROGATES / Manfredi, Paolo. - In: INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION. - ISSN 2152-5099. - 14:6(2024), pp. 71-104. [10.1615/int.j.uncertaintyquantification.2024052162] | 1-gen-2024 | Manfredi, Paolo | jnl-2024-IJUQ-GPR.pdf; manfredi-IJ4UQ-GPR-UQ-final.pdf |
SPICE‐compliant load flow analysis of power distribution networks with behavioral loads / Manfredi, Paolo; Trinchero, Riccardo; Memon, ZAIN ANWER; Stievano, Igor S.. - In: INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS. - ISSN 0098-9886. - STAMPA. - 52:4(2024), pp. 1597-1606. [10.1002/cta.3853] | 1-gen-2024 | Paolo ManfrediRiccardo TrincheroZain Anwer MemonIgor S. Stievano | jnl-2023-IJCTA-power-flow.pdf |
Stochastic and multi-objective design of photonic devices with machine learning / Manfredi, Paolo; Waqas, Abi; Melati, Daniele. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - ELETTRONICO. - 14:1(2024), pp. 1-11. [10.1038/s41598-024-57315-4] | 1-gen-2024 | Manfredi, Paolo + | jnl-2024-SciRep.pdf |
Uncertainty Quantification and Sensitivity Analysis of Crosstalk in PCB Lines via the Combination of Machine Learning and Polynomial Chaos Expansion / Manfredi, Paolo; Trinchero, Riccardo. - (2024), pp. 639-642. (Intervento presentato al convegno 2024 IEEE Joint International Symposium on Electromagnetic Compatibility, Signal & Power Integrity: EMC Japan / Asia-Pacific International Symposium on Electromagnetic Compatibility (EMC Japan/APEMC Okinawa) tenutosi a Okinawa, Giappone nel 20-24 maggio 2024) [10.23919/emcjapan/apemcokinaw58965.2024.10584863]. | 1-gen-2024 | Manfredi, PaoloTrinchero, Riccardo | manfredi-APEMC-2024-final.pdf; cnf-2024-APEMC.pdf |
Vector-Valued Kernel Ridge Regression for the Modeling of the Scattering Parameters of a Slotted Ground PCB Structure / Soleimani, Nastaran; Bradde, Tommaso; Manfredi, Paolo; Stievano, Igor; Trinchero, Riccardo. - ELETTRONICO. - (2024). (Intervento presentato al convegno 4th URSI Atlantic Radio Science Meeting (AT-RASC) tenutosi a Meloneras (Spain) nel 19-24 May, 2024) [10.46620/URSIATRASC24/QEMA5566]. | 1-gen-2024 | Soleimani, NastaranBradde, TommasoManfredi, PaoloStievano, IgorTrinchero, Riccardo | 2024007753.pdf; Vector-Valued_Kernel_Ridge_Regression_for_the_Modeling_of_the_Scattering_Parameters_of_a_Slotted_Ground_PCB_Structure.pdf |
A Stochastic Active Learning Strategy for Gaussian Process Models with Application to the Uncertainty Quantification of Signal Integrity / Manfredi, Paolo. - ELETTRONICO. - (2023), pp. 1-3. (Intervento presentato al convegno IEEE Electrical Design of Advanced Packaging and Systems (EDAPS 2023) tenutosi a Flic-en-Flac (Mauritius) nel 12-14 dicembre 2023) [10.1109/edaps58880.2023.10468524]. | 1-gen-2023 | Manfredi, Paolo | manfredi-EDAPS-2023-active-learning-GPR-final.pdf; cnf-2024-EDAPS.pdf |
Conservative Surrogate Modeling of Crosstalk with Application to Uncertainty Quantification / Manfredi, Paolo. - ELETTRONICO. - (2023), pp. 1-4. (Intervento presentato al convegno IEEE 27th Workshop on Signal and Power Integrity (SPI 2023) tenutosi a Aveiro, Portogallo nel 07-10 May 2023) [10.1109/SPI57109.2023.10145575]. | 1-gen-2023 | Manfredi, Paolo | cnf-2023-SPI.pdf; manfredi-SPI-2023-iris.pdf |
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier / Soleimani, Nastaran; Manfredi, Paolo; Trinchero, Riccardo. - ELETTRONICO. - (2023), pp. 143-146. (Intervento presentato al convegno IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO'2023) tenutosi a Winnipeg, MB (CAN) nel 28-30 June 2023) [10.1109/NEMO56117.2023.10202518]. | 1-gen-2023 | Soleimani, NastaranManfredi, PaoloTrinchero, Riccardo | NEMO2023_UQ_LNA_Vector_Valued_KRR (2).pdf; Soleimani-Efficient.pdf |
Probabilistic Uncertainty Quantification of Microwave Circuits Using Gaussian Processes / Manfredi, Paolo. - In: IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. - ISSN 0018-9480. - STAMPA. - 71:6(2023), pp. 2360-2372. [10.1109/TMTT.2022.3228953] | 1-gen-2023 | Paolo Manfredi | jnl-2023-TMTT-GPR-UQ.pdf |
Subwavelength metamaterial devices with optimization and machine learning / Melati, Daniele; Mokeddem, Zindine; Nuño Ruano, Paula; Cassan, Eric; Marris-Morini, Delphine; Vivien, Laurent; Alonso-Ramos, Carlos; Grinberg, Yuri; Al-Digeil, Muhammad; Xu, Dan-Xia; Milanizadeh, Maziyar; Zhang, Jianhao; Schmid, Jens H.; Cheben, Pavel; Khajavi, Shahrzad; Ye, Winnie N.; Waqas, Abi; Manfredi, Paolo. - ELETTRONICO. - (2023). (Intervento presentato al convegno Smart Photonic and Optoelectronic Integrated Circuits 2023 (SPIE OPTO 2023) tenutosi a San Francisco, CA, USA nel Jan-Feb 2023) [10.1117/12.2649953]. | 1-gen-2023 | Manfredi, Paolo + | abstract_melati_photonic_west_2023.pdf |