Kerem Yunus Camsari

According to our database, Kerem Yunus Camsari authored at least 38 papers between 2016 and 2024.

Collaborative distances:

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

2024

Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers.

Shuvro Chowdhury, Shaila Niazi, Kerem Yunus Camsari

CoRR, 2024

2023

All-to-all reconfigurability with sparse Ising machines: the XORSAT challenge with p-bits.

Navid Anjum Aadit, Srijan Nikhar, Sidharth Kannan, Shuvro Chowdhury, Kerem Yunus Camsari

CoRR, 2023

Heisenberg machines with programmable spin-circuits.

Saleh Bunaiyan, Supriyo Datta, Kerem Yunus Camsari

CoRR, 2023

Double-Free-Layer Stochastic Magnetic Tunnel Junctions with Synthetic Antiferromagnets.

Kemal Selcuk, Shun Kanai, Rikuto Ota, Hideo Ohno, Shunsuke Fukami, Kerem Yunus Camsari

CoRR, 2023

Machine Learning Quantum Systems with Magnetic p-bits.

Shuvro Chowdhury, Kerem Yunus Camsari

CoRR, 2023

CMOS + stochastic nanomagnets: heterogeneous computers for probabilistic inference and learning.

Keito Kobayashi, Nihal Singh, Qixuan Cao, Kemal Selcuk, Tianrui Hu, Shaila Niazi, Navid Anjum Aadit, Shun Kanai, Hideo Ohno, Shunsuke Fukami, Kerem Yunus Camsari

CoRR, 2023

Training Deep Boltzmann Networks with Sparse Ising Machines.

Shaila Niazi, Navid Anjum Aadit, Masoud Mohseni, Shuvro Chowdhury, Yao Qin, Kerem Yunus Camsari

CoRR, 2023

A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms.

Shuvro Chowdhury, Andrea Grimaldi, Navid Anjum Aadit, Shaila Niazi, Masoud Mohseni, Shun Kanai, Hideo Ohno, Shunsuke Fukami, Luke Theogarajan, Giovanni Finocchio, Supriyo Datta, Kerem Yunus Camsari

CoRR, 2023

Roadmap for Unconventional Computing with Nanotechnology.

Giovanni Finocchio, Supriyo Bandyopadhyay, Peng Lin, Gang Pan, J. Joshua Yang, Riccardo Tomasello, Christos Panagopoulos, Mario Carpentieri, Vito Puliafito, Johan Åkerman, Hiroki Takesue, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Kaushik Roy, Vinod K. Sangwan, Mark C. Hersam, Anna Giordano, Huynsoo Yang, Julie Grollier, Kerem Yunus Camsari, Peter L. McMahon, Supriyo Datta, Jean Anne C. Incorvia, Joseph S. Friedman, Sorin Cotofana, Florin Ciubotaru, Andrii V. Chumak, Azad J. Naeemi, Brajesh Kumar Kaushik, Yao Zhu, Kang Wang, Belita Koiller, Gabriel Aguilar, Guilherme P. Temporão, Kremena Makasheva, Aida Todri-Sanial, Jennifer Hasler, William Levy, Vwani Roychowdhury, Samiran Ganguly, Avik W. Ghosh, Davi Rodriquez, Satoshi Sunada, Karin Everschor-Sitte, Amit Lal, Shubham Jadhav, Massimiliano Di Ventra, Yuriy V. Pershin, Kosuke Tatsumura, Hayato Goto

CoRR, 2023

Emulating Quantum Circuits With Generalized Ising Machines.

Shuvro Chowdhury, Kerem Yunus Camsari, Supriyo Datta

IEEE Access, 2023

Accelerating Adaptive Parallel Tempering with FPGA-based p-bits.

Navid Anjum Aadit, Masoud Mohseni, Kerem Yunus Camsari

Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

2022

CMOS-compatible Ising and Potts Annealing Using Single Photon Avalanche Diodes.

William Whitehead, Zachary Nelson, Kerem Yunus Camsari, Luke Theogarajan

CoRR, 2022

Physics-inspired Ising Computing with Ring Oscillator Activated p-bits.

Navid Anjum Aadit, Andrea Grimaldi, Giovanni Finocchio, Kerem Yunus Camsari

CoRR, 2022

2021

Hardware Design for Autonomous Bayesian Networks.

Rafatul Faria, Jan Kaiser, Kerem Yunus Camsari, Supriyo Datta

Frontiers Comput. Neurosci., 2021

Physics-Based Models for Magneto-Electric Spin-Orbit Logic Circuits.

Hai Li, Dmitri E. Nikonov, Chia-Ching Lin, Kerem Yunus Camsari, Yu-Ching Liao, Chia-Sheng Hsu, Azad Naeemi, Ian A. Young

CoRR, 2021

Massively Parallel Probabilistic Computing with Sparse Ising Machines.

Navid Anjum Aadit, Andrea Grimaldi, Mario Carpentieri, Luke Theogarajan, John M. Martinis, Giovanni Finocchio, Kerem Yunus Camsari

CoRR, 2021

Hardware-aware in-situ Boltzmann machine learning using stochastic magnetic tunnel junctions.

Jan Kaiser, William A. Borders, Kerem Yunus Camsari, Shunsuke Fukami, Hideo Ohno, Supriyo Datta

CoRR, 2021

Quantitative Evaluation of Hardware Binary Stochastic Neurons.

Orchi Hassan, Supriyo Datta, Kerem Yunus Camsari

CoRR, 2021

Analog Signal Processing Using Stochastic Magnets.

Samiran Ganguly, Kerem Yunus Camsari, Avik W. Ghosh

IEEE Access, 2021

2020

From Charge to Spin and Spin to Charge: Stochastic Magnets for Probabilistic Switching.

Kerem Yunus Camsari, Punyashloka Debashis, Vaibhav Ostwal, Ahmed Zeeshan Pervaiz, Tingting Shen, Zhihong Chen, Supriyo Datta, Jörg Appenzeller

Proc. IEEE, 2020

Probabilistic Circuits for Autonomous Learning: A Simulation Study.

Jan Kaiser, Rafatul Faria, Kerem Yunus Camsari, Supriyo Datta

Frontiers Comput. Neurosci., 2020

Double Free-Layer Magnetic Tunnel Junctions for Probabilistic Bits.

Kerem Yunus Camsari, Mustafa Mert Torunbalci, William A. Borders, Hideo Ohno, Shunsuke Fukami

CoRR, 2020

Autonomous Probabilistic Coprocessing With Petaflips per Second.

Brian M. Sutton, Rafatul Faria, Lakshmi Anirudh Ghantasala, Risi Jaiswal, Kerem Yunus Camsari, Supriyo Datta

IEEE Access, 2020

2019

Weighted $p$ -Bits for FPGA Implementation of Probabilistic Circuits.

Ahmed Zeeshan Pervaiz, Brian M. Sutton, Lakshmi Anirudh Ghantasala, Kerem Yunus Camsari

IEEE Trans. Neural Networks Learn. Syst., 2019

Integer factorization using stochastic magnetic tunnel junctions.

William A. Borders, Ahmed Zeeshan Pervaiz, Shunsuke Fukami, Kerem Yunus Camsari, Hideo Ohno, Supriyo Datta

Nat., 2019

Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons.

Ramtin Zand, Kerem Yunus Camsari, Supriyo Datta, Ronald F. DeMara

ACM J. Emerg. Technol. Comput. Syst., 2019

Voltage-Driven Building Block for Hardware Belief Networks.

Orchi Hassan, Kerem Yunus Camsari, Supriyo Datta

IEEE Des. Test, 2019

Autonomous Probabilistic Coprocessing with Petaflips per Second.

Brian M. Sutton, Rafatul Faria, Lakshmi Anirudh Ghantasala, Kerem Yunus Camsari, Supriyo Datta

CoRR, 2019

Low Barrier Magnet Design for Efficient Binary Stochastic Neurons: Perpendicular vs In-plane.

Orchi Hassan, Rafatul Faria, Kerem Yunus Camsari, Jonathan Z. Sun, Supriyo Datta

CoRR, 2019

Probabilistic Computing with Binary Stochastic Neurons.

Ahmed Zeeshan Pervaiz, Supriyo Datta, Kerem Yunus Camsari

Proceedings of the 2019 IEEE BiCMOS and Compound semiconductor Integrated Circuits and Technology Symposium (BCICTS), 2019

2018

Hybrid spin-CMOS stochastic spiking neuron for high-speed emulation of In vivo neuron dynamics.

Steven D. Pyle, Kerem Yunus Camsari, Ronald F. DeMara

IET Comput. Digit. Tech., 2018

p-Bits for Probabilistic Spin Logic.

Kerem Yunus Camsari, Brian M. Sutton, Supriyo Datta

CoRR, 2018

Implementing Bayesian Networks with Embedded Stochastic MRAM.

Rafatul Faria, Kerem Yunus Camsari, Supriyo Datta

CoRR, 2018

Low-Energy Deep Belief Networks Using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons.

Ramtin Zand, Kerem Yunus Camsari, Steven D. Pyle, Ibrahim Ahmed, Chris H. Kim, Ronald F. DeMara

Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

2017

R-DBN: A Resistive Deep Belief Network Architecture Leveraging the Intrinsic Behavior of Probabilistic Devices.

Ramtin Zand, Kerem Yunus Camsari, Ibrahim Ahmed, Steven D. Pyle, Chris H. Kim, Supriyo Datta, Ronald F. DeMara

CoRR, 2017

Reservoir Computing using Stochastic p-Bits.

Samiran Ganguly, Kerem Yunus Camsari, Avik W. Ghosh

CoRR, 2017

Hardware demonstration of stochastic p-bits for invertible logic.

Ahmed Zeeshan Pervaiz, Lakshmi Anirudh Ghantasala, Kerem Yunus Camsari, Supriyo Datta

CoRR, 2017

2016

Evaluating Spintronic Devices Using The Modular Approach.

Samiran Ganguly, Kerem Yunus Camsari, Supriyo Datta

CoRR, 2016