Bogdan Penkovsky

According to our database, Bogdan Penkovsky authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Exploring polymer classification with a hybrid single-photon quantum approach.

Alexandrina Stoyanova, Bogdan Penkovsky

CoRR, December, 2025

2022

Photonic Quantum Computing For Polymer Classification.

Alexandrina Stoyanova, Taha Hammadia, Arno Ricou, Bogdan Penkovsky

CoRR, 2022

Experimental evaluation of digitally-verifiable photonic computing for blockchain and cryptocurrency.

Sunil Pai, Taewon Park, Marshall Ball, Bogdan Penkovsky, Maziyar Milanizadeh, Michael Dubrovsky, Nathnael Abebe, Francesco Morichetti, Andrea Melloni, Shanhui Fan, Olav Solgaard, David A. B. Miller

CoRR, 2022

2021

Tutorial: Photonic Neural Networks in Delay Systems.

Daniel Brunner, Bogdan Penkovsky, Bicky A. Marquez, M. Jaquot, Ingo Fischer, Laurent Larger

CoRR, 2021

2020

In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications.

Bogdan Penkovsky, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Optical Proof of Work.

Michael Dubrovsky, Marshall Ball, Bogdan Penkovsky

CoRR, 2019

Digital Biologically Plausible Implementation of Binarized Neural Networks with Differential Hafnium Oxide Resistive Memory Arrays.

Tifenn Hirtzlin, Marc Bocquet, Bogdan Penkovsky, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz

CoRR, 2019

Coupled nonlinear delay systems as deep convolutional neural networks.

Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 2019

Stochastic Computing for Hardware Implementation of Binarized Neural Networks.

Tifenn Hirtzlin, Bogdan Penkovsky, Marc Bocquet, Jacques-Olivier Klein, Jean-Michel Portal, Damien Querlioz

IEEE Access, 2019

Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction.

Tifenn Hirtzlin, Bogdan Penkovsky, Jacques-Olivier Klein, Nicolas Locatelli, Adrien F. Vincent, Marc Bocquet, Jean-Michel Portal, Damien Querlioz

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019

2018

Efficient Design of Hardware-Enabled Recurrent Neural Networks.

Bogdan Penkovsky, Laurent Larger, Daniel Brunner

CoRR, 2018

2017

Theory and Modeling of Complex Nonlinear Delay Dynamics Applied to Neuromorphic Computing. (Théorie et Modélisation de la Complexité des Dynamiques Non Linéaires à Retard, Application au Calcul Neuromorphique).

Bogdan Penkovsky

PhD thesis, 2017