Bakhrom G. Oripov

According to our database, Bakhrom G. Oripov authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

Scaling of hardware-compatible perturbative training algorithms.

Bakhrom G. Oripov, Andrew M. Dienstfrey, Adam N. McCaughan, Sonia M. Buckley

CoRR, January, 2025

Roadmap on Neuromorphic Photonics.

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, Jiaqi 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 J. 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, Douglas 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

CoRR, January, 2025

Model-Free Multiplexed Gradient Descent: Neuromorphic Learning in Recurrent Networks.

Ryan O'Loughlin, Nick Skuda, Bakhrom G. Oripov, Bradley Hayes, Adam N. McCaughan, Sonia M. Buckley

Proceedings of the International Conference on Neuromorphic Systems, 2025

2023

Machine Learning-powered Compact Modeling of Stochastic Electronic Devices using Mixture Density Networks.

Jack Hutchins, Shamiul Alam, Dana S. Rampini, Bakhrom G. Oripov, Adam N. McCaughan, Ahmedullah Aziz

CoRR, 2023

Superconducting Heater Cryotron-Based Reconfigurable Logic Towards Cryogenic IC Camouflaging.

Shamiul Alam, Dana S. Rampini, Bakhrom G. Oripov, Adam N. McCaughan, Ahmedullah Aziz

CoRR, 2023

Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation.

Adam N. McCaughan, Bakhrom G. Oripov, Natesh Ganesh, Sae Woo Nam, Andrew M. Dienstfrey, Sonia M. Buckley

CoRR, 2023