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ORCIDKerem Yunus Çamsari
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2020 – today
- 2024
[j12]João P. Hespanha
, Kerem Yunus Çamsari:
Markov Chain Monte Carlo for Koopman-Based Optimal Control. IEEE Control. Syst. Lett. 8: 1901-1906 (2024)- [i33]Shuvro Chowdhury, Shaila Niazi, Kerem Yunus Çamsari:
Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers. CoRR abs/2401.01996 (2024) - [i32]Kemal Selcuk, Saleh Bunaiyan, Nihal Singh, Shehrin Sayed, Samiran Ganguly, Giovanni Finocchio, Supriyo Datta, Kerem Yunus Çamsari:
Connecting physics to systems with modular spin-circuits. CoRR abs/2404.19345 (2024) - [i31]Kyle Lee, Shuvro Chowdhury, Kerem Yunus Çamsari:
Noise-augmented Chaotic Ising Machines for Combinatorial Optimization and Sampling. CoRR abs/2408.04744 (2024) - [i30]Tathagata Srimani, Robert M. Radway, Masoud Mohseni, Kerem Yunus Çamsari, Subhasish Mitra:
Next-generation Probabilistic Computing Hardware with 3D MOSAICs, Illusion Scale-up, and Co-design. CoRR abs/2409.11422 (2024) - 2023
- [j11]Shuvro Chowdhury, Kerem Yunus Çamsari, Supriyo Datta:
Emulating Quantum Circuits With Generalized Ising Machines. IEEE Access 11: 116944-116955 (2023) - [c3]Navid Anjum Aadit, Masoud Mohseni, Kerem Yunus Çamsari:
Accelerating Adaptive Parallel Tempering with FPGA-based p-bits. VLSI Technology and Circuits 2023: 1-2 - [i29]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 Çamsari, 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:
Roadmap for Unconventional Computing with Nanotechnology. CoRR abs/2301.06727 (2023) - [i28]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 Çamsari:
A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms. CoRR abs/2302.06457 (2023) - [i27]Shaila Niazi, Navid Anjum Aadit, Masoud Mohseni, Shuvro Chowdhury, Yao Qin, Kerem Yunus Çamsari:
Training Deep Boltzmann Networks with Sparse Ising Machines. CoRR abs/2303.10728 (2023) - [i26]Keito Kobayashi, Nihal Singh, Qixuan Cao, Kemal Selcuk, Tianrui Hu, Shaila Niazi, Navid Anjum Aadit, Shun Kanai, Hideo Ohno, Shunsuke Fukami, Kerem Yunus Çamsari:
CMOS + stochastic nanomagnets: heterogeneous computers for probabilistic inference and learning. CoRR abs/2304.05949 (2023) - [i25]Shuvro Chowdhury, Kerem Yunus Çamsari:
Machine Learning Quantum Systems with Magnetic p-bits. CoRR abs/2310.06679 (2023) - [i24]Kemal Selcuk, Shun Kanai, Rikuto Ota, Hideo Ohno, Shunsuke Fukami, Kerem Yunus Çamsari:
Double-Free-Layer Stochastic Magnetic Tunnel Junctions with Synthetic Antiferromagnets. CoRR abs/2311.06642 (2023) - [i23]Saleh Bunaiyan, Supriyo Datta, Kerem Yunus Çamsari:
Heisenberg machines with programmable spin-circuits. CoRR abs/2312.01477 (2023) - [i22]Navid Anjum Aadit, Srijan Nikhar, Sidharth Kannan, Shuvro Chowdhury, Kerem Yunus Çamsari:
All-to-all reconfigurability with sparse Ising machines: the XORSAT challenge with p-bits. CoRR abs/2312.08748 (2023) - 2022
- [i21]Navid Anjum Aadit, Andrea Grimaldi, Giovanni Finocchio, Kerem Yunus Çamsari:
Physics-inspired Ising Computing with Ring Oscillator Activated p-bits. CoRR abs/2205.07402 (2022) - [i20]William Whitehead, Zachary Nelson, Kerem Yunus Çamsari, Luke Theogarajan:
CMOS-compatible Ising and Potts Annealing Using Single Photon Avalanche Diodes. CoRR abs/2211.12607 (2022) - 2021
- [j10]Samiran Ganguly, Kerem Yunus Çamsari, Avik W. Ghosh:
Analog Signal Processing Using Stochastic Magnets. IEEE Access 9: 92640-92650 (2021) - [j9]Rafatul Faria, Jan Kaiser, Kerem Yunus Çamsari, Supriyo Datta:
Hardware Design for Autonomous Bayesian Networks. Frontiers Comput. Neurosci. 15: 584797 (2021) - [i19]Orchi Hassan, Supriyo Datta, Kerem Yunus Çamsari:
Quantitative Evaluation of Hardware Binary Stochastic Neurons. CoRR abs/2101.00147 (2021) - [i18]Jan Kaiser, William A. Borders, Kerem Yunus Çamsari, Shunsuke Fukami, Hideo Ohno, Supriyo Datta:
Hardware-aware in-situ Boltzmann machine learning using stochastic magnetic tunnel junctions. CoRR abs/2102.05137 (2021) - [i17]Navid Anjum Aadit, Andrea Grimaldi, Mario Carpentieri, Luke Theogarajan, John M. Martinis, Giovanni Finocchio, Kerem Yunus Çamsari:
Massively Parallel Probabilistic Computing with Sparse Ising Machines. CoRR abs/2110.02481 (2021) - [i16]Hai Li, Dmitri E. Nikonov, Chia-Ching Lin, Kerem Yunus Çamsari, Yu-Ching Liao, Chia-Sheng Hsu, Azad Naeemi, Ian A. Young:
Physics-Based Models for Magneto-Electric Spin-Orbit Logic Circuits. CoRR abs/2110.10890 (2021) - 2020
- [j8]Brian M. Sutton, Rafatul Faria, Lakshmi Anirudh Ghantasala, Risi Jaiswal, Kerem Yunus Çamsari, Supriyo Datta:
Autonomous Probabilistic Coprocessing With Petaflips per Second. IEEE Access 8: 157238-157252 (2020) - [j7]Jan Kaiser, Rafatul Faria, Kerem Yunus Çamsari, Supriyo Datta:
Probabilistic Circuits for Autonomous Learning: A Simulation Study. Frontiers Comput. Neurosci. 14: 14 (2020) - [j6]Kerem Yunus Çamsari, 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): 1322-1337 (2020) - [i15]Rafatul Faria, Jan Kaiser, Kerem Yunus Çamsari, Supriyo Datta:
Hardware Design for Autonomous Bayesian Networks. CoRR abs/2003.01767 (2020) - [i14]Kerem Yunus Çamsari, Mustafa Mert Torunbalci, William A. Borders, Hideo Ohno, Shunsuke Fukami:
Double Free-Layer Magnetic Tunnel Junctions for Probabilistic Bits. CoRR abs/2012.06950 (2020)
2010 – 2019
- 2019
- [j5]Orchi Hassan, Kerem Yunus Çamsari, Supriyo Datta:
Voltage-Driven Building Block for Hardware Belief Networks. IEEE Des. Test 36(3): 15-21 (2019) - [j4]Ramtin Zand, Kerem Yunus Çamsari, Supriyo Datta, Ronald F. DeMara:
Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons. ACM J. Emerg. Technol. Comput. Syst. 15(2): 17:1-17:22 (2019) - [j3]William A. Borders, Ahmed Zeeshan Pervaiz, Shunsuke Fukami, Kerem Yunus Çamsari, Hideo Ohno, Supriyo Datta:
Integer factorization using stochastic magnetic tunnel junctions. Nat. 573(7774): 390-393 (2019) - [j2]Ahmed Zeeshan Pervaiz, Brian M. Sutton, Lakshmi Anirudh Ghantasala, Kerem Yunus Çamsari:
Weighted $p$ -Bits for FPGA Implementation of Probabilistic Circuits. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1920-1926 (2019) - [c2]Ahmed Zeeshan Pervaiz, Supriyo Datta, Kerem Yunus Çamsari:
Probabilistic Computing with Binary Stochastic Neurons. BCICTS 2019: 1-6 - [i13]Orchi Hassan, Rafatul Faria, Kerem Yunus Çamsari, Jonathan Z. Sun, Supriyo Datta:
Low Barrier Magnet Design for Efficient Binary Stochastic Neurons: Perpendicular vs In-plane. CoRR abs/1902.03650 (2019) - [i12]Brian M. Sutton, Rafatul Faria, Lakshmi Anirudh Ghantasala, Kerem Yunus Çamsari, Supriyo Datta:
Autonomous Probabilistic Coprocessing with Petaflips per Second. CoRR abs/1907.09664 (2019) - [i11]Jan Kaiser, Rafatul Faria, Kerem Yunus Çamsari, Supriyo Datta:
Probabilistic Circuits for Autonomous Learning: A simulation study. CoRR abs/1910.06288 (2019) - 2018
- [j1]Steven D. Pyle, Kerem Yunus Çamsari, Ronald F. DeMara:
Hybrid spin-CMOS stochastic spiking neuron for high-speed emulation of In vivo neuron dynamics. IET Comput. Digit. Tech. 12(4): 122-129 (2018) - [c1]Ramtin Zand, Kerem Yunus Çamsari, 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: 15-20 - [i10]Rafatul Faria, Kerem Yunus Çamsari, Supriyo Datta:
Implementing Bayesian Networks with Embedded Stochastic MRAM. CoRR abs/1801.00497 (2018) - [i9]Orchi Hassan, Kerem Yunus Çamsari, Supriyo Datta:
Voltage-driven Building Block for Hardware Belief Networks. CoRR abs/1801.09026 (2018) - [i8]Kerem Yunus Çamsari, Brian M. Sutton, Supriyo Datta:
p-Bits for Probabilistic Spin Logic. CoRR abs/1809.04028 (2018) - [i7]Ramtin Zand, Kerem Yunus Çamsari, Supriyo Datta, Ronald F. DeMara:
Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons. CoRR abs/1811.11390 (2018) - [i6]Samiran Ganguly, Kerem Yunus Çamsari, Avik W. Ghosh:
Analog Signal Processing Using Stochastic Magnets. CoRR abs/1812.08273 (2018) - 2017
- [i5]Ahmed Zeeshan Pervaiz, Lakshmi Anirudh Ghantasala, Kerem Yunus Çamsari, Supriyo Datta:
Hardware demonstration of stochastic p-bits for invertible logic. CoRR abs/1705.01943 (2017) - [i4]Samiran Ganguly, Kerem Yunus Çamsari, Avik W. Ghosh:
Reservoir Computing using Stochastic p-Bits. CoRR abs/1709.10211 (2017) - [i3]Ramtin Zand, Kerem Yunus Çamsari, 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 abs/1710.00249 (2017) - [i2]Ahmed Zeeshan Pervaiz, Brian M. Sutton, Lakshmi Anirudh Ghantasala, Kerem Yunus Çamsari:
Weighted p-bits for FPGA implementation of probabilistic circuits. CoRR abs/1712.04166 (2017) - 2016
- [i1]Samiran Ganguly, Kerem Yunus Çamsari, Supriyo Datta:
Evaluating Spintronic Devices Using The Modular Approach. CoRR abs/1608.03681 (2016)
Coauthor Index
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