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ORCIDLorenzo Pavesi
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2020 – today
- 2025
[j6]Ilya Auslender
, Giorgio Letti, Yasaman Heydari, Clara Zaccaria, Lorenzo Pavesi:
Decoding neuronal networks: A Reservoir Computing approach for predicting connectivity and functionality. Neural Networks 184: 107058 (2025)- [i11]Daniel Brunner, Bhavin J. Shastri, Mohammed Al-Qadasi, Hitesh Ballani, Sylvain Barbay, Stefano Biasi, Peter Bienstman, Simon Bilodeau, Wim Bogaerts, Fabian Böhm, Grace Brennan, Sonia M. Buckley, Xinlun Cai, Marcello Calvanese Strinati, Burcu Canakci, Benoît Charbonnier, Mario Chemnitz, Yitong Chen, Stanley Cheung, Jeff Chiles, Suyeon Choi, Demetrios N. Christodoulides, Lukas Chrostowski, J. Chu, James H. Clegg, Daniel Cletheroe, Claudio Conti, Qionghai Dai, Luigi Di Lauro, Nikolaos-Panteleimon Diamantopoulos, Niyazi Ulas Dinç, Jacob Ewaniuk, Shanhui Fan, Lu Fang, Riccardo Franchi, Pedro Freire, Silvia Gentilini, Sylvain Gigan, Gian Luca Giorgi, Christos Gkantsidis, Jannes Gladrow, Elena Goi, M. Goldmann, A. Grabulosa, Min Gu, Xianxin Guo, Matej Hejda, Folkert Horst, Jih-Liang Hsieh, Jianqi Hu, Juejun Hu, Chaoran Huang, Antonio Hurtado, Lina Jaurigue, Kirill P. Kalinin, Morteza Kamalian-Kopae, D. J. Kelly, Mercedeh Khajavikhan, Heiner Kremer, Jérémie Laydevant, Joshua Lederman, Jongheon Lee, Daan Lenstra, Gordon H. Y. Li, Mo Li, Yuhang Li, Xing Lin, Zhongjin Lin, Mieszko Lis, Kathy Lüdge, Alessio Lugnan, Alessandro Lupo, A. I. Lvovsky, Egor Manuylovich, Alireza Marandi, Federico Marchesin, Serge Massar, Adam N. McCaughan, Peter L. McMahon, Miltiadis Moralis-Pegios, Roberto Morandotti, Christophe Moser, David J. Moss, Avilash Mukherjee, Mahdi Nikdast, Bert J. Offrein, Ilker Oguz, Bakhrom G. Oripov, Greg O'Shea, Aydogan Ozcan, Francesca Parmigiani, Sudeep Pasricha, Fabio Pavanello, Lorenzo Pavesi, Nicola Peserico, Lucinda Pickup, Davide Pierangeli, Nikos Pleros, Xavier Porte, Bryce A. Primavera:
Roadmap on Neuromorphic Photonics. CoRR abs/2501.07917 (2025) - 2024
- [c13]Jong-Moo Lee, Jiho Park, Jeongho Bang, Young-Ik Sohn, Alessio Baldazzi, Matteo Sanna, Stefano Azzini, Lorenzo Pavesi:
Highly pure 4-qubit states fully integrated in a programmable silicon-photonic chip. OFC 2024: 1-3 - [c12]Matteo Sanna, Alessio Baldazzi, Nicolo Broseghini, Gioele Piccoli, Martino Bernard, Fabio Acerbi, Georg Pucker, Stefano Azzini, Mher Ghulinyan, Lorenzo Pavesi:
Toward a Room-Temperature Fully-Integrated Photonic Quantum Simulator. QCE 2024: 736-741 - [i10]Yong Kwon, Alessio Baldazzi, Lorenzo Pavesi, Byung-Soo Choi:
Quantum Circuit Mapping for Universal and Scalable Computing in MZI-based Integrated Photonics. CoRR abs/2401.16875 (2024) - [i9]Emiliano Staffoli, Gianpietro Maddinelli, Lorenzo Pavesi:
A Silicon Photonic Neural Network for Chromatic Dispersion Compensation in 20 Gbps PAM4 Signal at 125 km and Its Scalability up to 100 Gbps. CoRR abs/2409.03547 (2024) - 2023
- [c11]Ilya Auslender, Lorenzo Pavesi:
Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis. CIBCB 2023: 1-6 - [c10]Stefano Biasi, Riccardo Franchi, Lorenzo Pavesi:
Experimental Demonstration of a Photonic Extreme Learning Machine with an Array of Microresonators. PSC 2023: 1-3 - [c9]Emiliano Staffoli, Mattia Mancinelli, Paolo Bettotti, Lorenzo Pavesi:
IM/DD Transmission Equalization with an All-Optical Photonic Neural Network. PSC 2023: 1-3 - [i8]Emiliano Staffoli, Mattia Mancinelli, Paolo Bettotti, Lorenzo Pavesi:
Equalization of a 10 Gbps IMDD signal by a small silicon photonics time delayed neural network. CoRR abs/2301.01630 (2023) - [i7]Emiliano Staffoli, Davide Bazzanella, Stefano Biasi, Giovanni Donati, Mattia Mancinelli, Paolo Bettotti, Lorenzo Pavesi:
Nonlinear response of Silicon Photonics microresonators for reservoir computing neural network. CoRR abs/2302.10203 (2023) - [i6]Stefano Biasi, Riccardo Franchi, Lorenzo Cerini, Lorenzo Pavesi:
An array of microresonators as a Photonic Extreme Learning Machine. CoRR abs/2305.03066 (2023) - [i5]Stefano Biasi, Giovanni Donati, Alessio Lugnan, Mattia Mancinelli, Emiliano Staffoli, Lorenzo Pavesi:
Photonic neural networks based on integrated silicon microresonators. CoRR abs/2306.04779 (2023) - [i4]Ilya Auslender, Lorenzo Pavesi:
Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis. CoRR abs/2309.06297 (2023) - [i3]Ilya Auslender, Giorgio Letti, Yasaman Heydari, Lorenzo Pavesi:
Reservoir-Computing Model for Mapping and Forecasting Neuronal Interactions from Electrophysiological Data. CoRR abs/2311.03131 (2023) - 2022
- [i2]Davide Bazzanella, Stefano Biasi, Mattia Mancinelli, Lorenzo Pavesi:
A Microring as a Reservoir Computing Node: Memory/Nonlinear Tasks and Effect of Input Non-ideality. CoRR abs/2203.07045 (2022) - 2021
- [i1]Mattia Mancinelli, Davide Bazzanella, Paolo Bettotti, Lorenzo Pavesi:
A photonic complex perceptron for ultrafast data processing. CoRR abs/2106.11050 (2021)
2010 – 2019
- 2019
- [c8]Nicola Massari, Leonardo Gasparini, Matteo Perenzoni, Georg Pucker, Alessandro Tomasi, Zahra Bisadi, Alessio Meneghetti, Lorenzo Pavesi:
A Compact TDC-based Quantum Random Number Generator. ICECS 2019: 815-818 - 2018
- [j5]Fabio Turri, Stefano Biasi, Fernando Ramiro-Manzano, Lorenzo Pavesi:
A Free-Space Interferometer for Phase-Delay Measurements in Integrated Optical Devices in Degenerate Pump-and-Probe Experiments. IEEE Trans. Instrum. Meas. 67(12): 2863-2871 (2018) - [c7]Stefano Tondini, Astghik Chalyan, Giorgio Fontana, Lorenzo Pavesi, Nikola Zecevic, Michael Hofbauer, Bernhard Goll, Horst Zimmermann, Stefano Stracca, Alberto Bianchi, Costanza Manganelli, Philippe Velha, Paolo Pintus, Fabrizio Di Pasquale, Claudio J. Oton, Christophe Kopp, Laetitia Adelmini, Olivier Lemonnier, Gabriel Pares, Guido Chiaretti, Aina Serrano, Jose Angel Ayucar, Giovani Battista Preve, Minsu Kim, Jong Moo Lee, Francesco Testa:
Integrated, Scalable and Reconfigurable Silicon Photonics Based Optical Switch for Colorless, Directionless and Contentionless Operation. OFC 2018: 1-3 - 2017
- [c6]Lorenzo Pavesi:
Silicon photonics for optical switching in data centers. ICTON 2017: 1 - 2016
- [c5]Giuseppe Abbiati, Fabio Turri, Fernando Ramiro-Manzano, Lorenzo Pavesi, Oreste S. Bursi:
A scalable reduced order modelling approach for whispering-gallery mode resonators. ICTON 2016: 1-4 - [c4]Massimo Borghi, Mattia Mancinelli, Florian Merget, Jeremy Witzens, Martino Bernard, Mher Ghulinyan, Georg Pucker, Lorenzo Pavesi:
Time resolved electro-optic measurements in strained silicon racetrack resonators. ICTON 2016: 1-4 - [c3]Lorenzo Pavesi:
Silicon photonics for switching in next generation data centers. ICTON 2016: 1 - [c2]Stefano Tondini, Claudio Castellan, Mattia Mancinelli, Lorenzo Pavesi:
Modeling and validation of high-performance and athermal AWGs for the silicon photonics platform. ICTON 2016: 1-4 - 2015
- [j4]Davide Gandolfi, Fernando Ramiro-Manzano, Francisco Javier Aparicio Rebollo, Mher Ghulinyan, Georg Pucker, Lorenzo Pavesi:
Role of Edge Inclination in an Optical Microdisk Resonator for Label-Free Sensing. Sensors 15(3): 4796-4809 (2015) - [j3]Romain Guider, Davide Gandolfi, Tatevik Chalyan, Laura Pasquardini, Alina Samusenko, Georg Pucker, Cecilia Pederzolli, Lorenzo Pavesi:
Design and Optimization of SiON Ring Resonator-Based Biosensors for Aflatoxin M1 Detection. Sensors 15(7): 17300-17312 (2015) - 2011
- [j2]Paolo Bettotti, Alessandro Pitanti, Eveline Rigo, Francesco De Leonardis, Vittorio M. N. Passaro, Lorenzo Pavesi:
Modeling of Slot Waveguide Sensors Based on Polymeric Materials. Sensors 11(8): 7327-7340 (2011)
2000 – 2009
- 2009
- [j1]Zhizhong Yuan, Aleksei Anopchenko, Nicola Daldosso, Romain Guider, Daniel Navarro-Urrios, Alessandro Pitanti, Rita Spano, Lorenzo Pavesi:
Silicon Nanocrystals as an Enabling Material for Silicon Photonics. Proc. IEEE 97(7): 1250-1268 (2009) - 2007
- [c1]Alberto Gallini, Lorenzo Pavesi, Claudio Ferretti, Alberto Rosti, Sara Bocchio:
An Automatic Compilation Framework for Configurable Architectures. FPL 2007: 525-528
Coauthor Index
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