Kerem Yunus Camsari

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 44

Top Topics

Bucket Elimination

Belief Networks

Probabilistic Inference

Top Venues

Frontiers Comput. Neurosci.

Publications

João P. Hespanha, Kerem Yunus Camsari
Markov Chain Monte Carlo for Koopman-Based Optimal Control. IEEE Control. Syst. Lett. 8 (2024)
Shuvro Chowdhury, Shaila Niazi, Kerem Yunus Camsari
Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers. CoRR (2024)
Kemal Selcuk, Saleh Bunaiyan, Nihal Singh, Shehrin Sayed, Samiran Ganguly, Giovanni Finocchio, Supriyo Datta, Kerem Yunus Camsari
Connecting physics to systems with modular spin-circuits. CoRR (2024)
Saleh Bunaiyan, Supriyo Datta, Kerem Yunus Camsari
Heisenberg machines with programmable spin-circuits. CoRR (2023)
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
A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms. CoRR (2023)
Keito Kobayashi, Nihal Singh, Qixuan Cao, Kemal Selcuk, Tianrui Hu, Shaila Niazi, Navid Anjum Aadit, Shun Kanai, Hideo Ohno, Shunsuke Fukami, Kerem Yunus Camsari
CMOS + stochastic nanomagnets: heterogeneous computers for probabilistic inference and learning. CoRR (2023)
Navid Anjum Aadit, Srijan Nikhar, Sidharth Kannan, Shuvro Chowdhury, Kerem Yunus Camsari
All-to-all reconfigurability with sparse Ising machines: the XORSAT challenge with p-bits. CoRR (2023)
Navid Anjum Aadit, Masoud Mohseni, Kerem Yunus Camsari
Accelerating Adaptive Parallel Tempering with FPGA-based p-bits. VLSI Technology and Circuits (2023)
Shuvro Chowdhury, Kerem Yunus Camsari
Machine Learning Quantum Systems with Magnetic p-bits. CoRR (2023)
Shaila Niazi, Navid Anjum Aadit, Masoud Mohseni, Shuvro Chowdhury, Yao Qin, Kerem Yunus Camsari
Training Deep Boltzmann Networks with Sparse Ising Machines. CoRR (2023)
Kemal Selcuk, Shun Kanai, Rikuto Ota, Hideo Ohno, Shunsuke Fukami, Kerem Yunus Camsari
Double-Free-Layer Stochastic Magnetic Tunnel Junctions with Synthetic Antiferromagnets. CoRR (2023)
Shuvro Chowdhury, Kerem Yunus Camsari, Supriyo Datta
Emulating Quantum Circuits With Generalized Ising Machines. IEEE Access 11 (2023)
Navid Anjum Aadit, Andrea Grimaldi, Giovanni Finocchio, Kerem Yunus Camsari
Physics-inspired Ising Computing with Ring Oscillator Activated p-bits. CoRR (2022)
William Whitehead, Zachary Nelson, Kerem Yunus Camsari, Luke Theogarajan
CMOS-compatible Ising and Potts Annealing Using Single Photon Avalanche Diodes. CoRR (2022)
Rafatul Faria, Jan Kaiser, Kerem Yunus Camsari, Supriyo Datta
Hardware Design for Autonomous Bayesian Networks. Frontiers Comput. Neurosci. 15 (2021)
Samiran Ganguly, Kerem Yunus Camsari, Avik W. Ghosh
Analog Signal Processing Using Stochastic Magnets. IEEE Access 9 (2021)
Navid Anjum Aadit, Andrea Grimaldi, Mario Carpentieri, Luke Theogarajan, John M. Martinis, Giovanni Finocchio, Kerem Yunus Camsari
Massively Parallel Probabilistic Computing with Sparse Ising Machines. CoRR (2021)
Jan Kaiser, William A. Borders, Kerem Yunus Camsari, Shunsuke Fukami, Hideo Ohno, Supriyo Datta
Hardware-aware in-situ Boltzmann machine learning using stochastic magnetic tunnel junctions. CoRR (2021)
Orchi Hassan, Supriyo Datta, Kerem Yunus Camsari
Quantitative Evaluation of Hardware Binary Stochastic Neurons. CoRR (2021)
Rafatul Faria, Jan Kaiser, Kerem Yunus Camsari, Supriyo Datta
Hardware Design for Autonomous Bayesian Networks. CoRR (2020)
Brian M. Sutton, Rafatul Faria, Lakshmi Anirudh Ghantasala, Risi Jaiswal, Kerem Yunus Camsari, Supriyo Datta
Autonomous Probabilistic Coprocessing With Petaflips per Second. IEEE Access 8 (2020)
Kerem Yunus Camsari, Punyashloka Debashis, Vaibhav Ostwal, Ahmed Zeeshan Pervaiz, Tingting Shen, Zhihong Chen, Supriyo Datta, Jörg Appenzeller
From Charge to Spin and Spin to Charge: Stochastic Magnets for Probabilistic Switching. Proc. IEEE 108 (8) (2020)
Kerem Yunus Camsari, Mustafa Mert Torunbalci, William A. Borders, Hideo Ohno, Shunsuke Fukami
Double Free-Layer Magnetic Tunnel Junctions for Probabilistic Bits. CoRR (2020)
Jan Kaiser, Rafatul Faria, Kerem Yunus Camsari, Supriyo Datta
Probabilistic Circuits for Autonomous Learning: A Simulation Study. Frontiers Comput. Neurosci. 14 (2020)
Jan Kaiser, Rafatul Faria, Kerem Yunus Camsari, Supriyo Datta
Probabilistic Circuits for Autonomous Learning: A simulation study. CoRR (2019)
Ahmed Zeeshan Pervaiz, Brian M. Sutton, Lakshmi Anirudh Ghantasala, Kerem Yunus Camsari
Weighted $p$ -Bits for FPGA Implementation of Probabilistic Circuits. IEEE Trans. Neural Networks Learn. Syst. 30 (6) (2019)
Brian M. Sutton, Rafatul Faria, Lakshmi Anirudh Ghantasala, Kerem Yunus Camsari, Supriyo Datta
Autonomous Probabilistic Coprocessing with Petaflips per Second. CoRR (2019)
Orchi Hassan, Rafatul Faria, Kerem Yunus Camsari, Jonathan Z. Sun, Supriyo Datta
Low Barrier Magnet Design for Efficient Binary Stochastic Neurons: Perpendicular vs In-plane. CoRR (2019)
Ahmed Zeeshan Pervaiz, Supriyo Datta, Kerem Yunus Camsari
Probabilistic Computing with Binary Stochastic Neurons. BCICTS (2019)
Ramtin Zand, Kerem Yunus Camsari, Supriyo Datta, Ronald F. DeMara
Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons. ACM J. Emerg. Technol. Comput. Syst. 15 (2) (2019)
William A. Borders, Ahmed Zeeshan Pervaiz, Shunsuke Fukami, Kerem Yunus Camsari, Hideo Ohno, Supriyo Datta
Integer factorization using stochastic magnetic tunnel junctions. Nat. 573 (7774) (2019)
Orchi Hassan, Kerem Yunus Camsari, Supriyo Datta
Voltage-Driven Building Block for Hardware Belief Networks. IEEE Des. Test 36 (3) (2019)
Ramtin Zand, Kerem Yunus Camsari, Steven D. Pyle, Ibrahim Ahmed, Chris H. Kim, Ronald F. DeMara
Low-Energy Deep Belief Networks Using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons. ACM Great Lakes Symposium on VLSI (2018)
Kerem Yunus Camsari, Brian M. Sutton, Supriyo Datta
p-Bits for Probabilistic Spin Logic. CoRR (2018)
Rafatul Faria, Kerem Yunus Camsari, Supriyo Datta
Implementing Bayesian Networks with Embedded Stochastic MRAM. CoRR (2018)
Steven D. Pyle, Kerem Yunus Camsari, Ronald F. DeMara
Hybrid spin-CMOS stochastic spiking neuron for high-speed emulation of In vivo neuron dynamics. IET Comput. Digit. Tech. 12 (4) (2018)
Ramtin Zand, Kerem Yunus Camsari, Supriyo Datta, Ronald F. DeMara
Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons. CoRR (2018)
Samiran Ganguly, Kerem Yunus Camsari, Avik W. Ghosh
Analog Signal Processing Using Stochastic Magnets. CoRR (2018)
Orchi Hassan, Kerem Yunus Camsari, Supriyo Datta
Voltage-driven Building Block for Hardware Belief Networks. CoRR (2018)
Ahmed Zeeshan Pervaiz, Lakshmi Anirudh Ghantasala, Kerem Yunus Camsari, Supriyo Datta
Hardware demonstration of stochastic p-bits for invertible logic. CoRR (2017)
Samiran Ganguly, Kerem Yunus Camsari, Avik W. Ghosh
Reservoir Computing using Stochastic p-Bits. CoRR (2017)
Ahmed Zeeshan Pervaiz, Brian M. Sutton, Lakshmi Anirudh Ghantasala, Kerem Yunus Camsari
Weighted p-bits for FPGA implementation of probabilistic circuits. CoRR (2017)
Ramtin Zand, Kerem Yunus Camsari, Ibrahim Ahmed, Steven D. Pyle, Chris H. Kim, Supriyo Datta, Ronald F. DeMara
R-DBN: A Resistive Deep Belief Network Architecture Leveraging the Intrinsic Behavior of Probabilistic Devices. CoRR (2017)
Samiran Ganguly, Kerem Yunus Camsari, Supriyo Datta
Evaluating Spintronic Devices Using The Modular Approach. CoRR (2016)