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Redundancy and Analog Slicing for Precise In-Memory Machine Learning—Part I: Programming Techniques2021 IEEE Transactions on Electron Devices article Engineering Advanced Memory and Neural Computing Open access cited by 2 patents
Giacomo Pedretti, Piergiulio Mannocci, Can Li, Zhong Sun, John Paul Strachan, Daniele Ielmini
26citations -
Impact of memory device precision in analog combinatorial optimization solvers2026 npj Unconventional Computing article Engineering Advanced Memory and Neural Computing Open access
Mohammad Hizzani, Ming-Jay Yang, Arne Heittmann, George Higgins Hutchinson, Dmitri B. Strukov, John Paul Strachan
0citations -
Redundancy and Analog Slicing for Precise In-Memory Machine Learning—Part II: Applications and Benchmark2021 IEEE Transactions on Electron Devices article Engineering Advanced Memory and Neural Computing Open access
Giacomo Pedretti, Piergiulio Mannocci, Can Li, Zhong Sun, John Paul Strachan, Daniele Ielmini
11citations -
Evaluating the Scalability of Binary and Ternary CNN Workloads on RRAM-based Compute-in-Memory Accelerators2025 IEEE Computer Society Annual Symposium on VLSI conference-paper Engineering Advanced Memory and Neural Computing Open access
José Cubero-Cascante, Rebecca Pelke, Noah Flohr, Arunkumar M. Vaidyanathan, Rainer Leupers, Jan Moritz Joseph
3citations -
Evaluating the Scalability of Binary and Ternary CNN Workloads on RRAM-based Compute-in-Memory Accelerators2025 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access
José Cubero-Cascante, Rebecca Pelke, Noah Flohr, Arunkumar M. Vaidyanathan, Rainer Leupers, Jan Moritz Joseph
0citations -
Online capacity estimation of lithium-ion batteries with deep long short-term memory networks2020 Journal of Power Sources article Engineering Advanced Battery Technologies Research Open access
Weihan Li, Neil Sengupta, Philipp Dechent, David A. Howey, Anuradha M. Annaswamy, Dirk Uwe Sauer
366citations -
Reliability aspects of binary vector-matrix-multiplications using ReRAM devices2022 Neuromorphic Computing and Engineering article Engineering Advanced Memory and Neural Computing Open access
Christopher Bengel, Johannes Mohr, Stefan Wiefels, Abhairaj Singh, Anteneh Gebregiorgis, Rajendra Bishnoi, +4 more
35citations -
Work-in-Progress: A Universal Instrumentation Platform for Non-Volatile Memories2023 International Conference on Hardware/Software Codesign and System Synthesis conference-paper Engineering Advanced Memory and Neural Computing Open access
Felix Staudigl, Mohammed Hossein, Tobias Ziegler, Hazem Al Indari, Rebecca Pelke, Sebastian Siegel, +4 more
5citations -
Work-in-Progress: A Universal Instrumentation Platform for Non-Volatile Memories2023 RWTH Publications (RWTH Aachen) conference-paper Engineering Advanced Memory and Neural Computing Open access
Felix Staudigl, Mohammed Hossein, Tobias Ziegler, Hazem Al Indari, Rebecca Pelke, Sebastian Siegel, +4 more
0citations -
A Calibratable Model for Fast Energy Estimation of MVM Operations on RRAM Crossbars2024 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access
José Cubero-Cascante, Arunkumar M. Vaidyanathan, Rebecca Pelke, Lorenzo Pfeifer, Rainer Leupers, Jan Moritz Joseph
0citations -
Integration of Physics-Derived Memristor Models with Machine Learning Frameworks2022 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Engineering Advanced Memory and Neural Computing Open access
Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
5citations -
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks2021 IEEE Robotics and Automation Letters article Engineering Autonomous Vehicle Technology and Safety Open access
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
38citations -
Integrating Recurrent Neural Networks into Model Predictive Control for Thermal Torque Derating of Electric Machines2023 IFAC-PapersOnLine article Engineering Advanced Control Systems Optimization Open access cited by 1 patent
Alexander Winkler, Weizhou Wang, Armin Norouzi, David C. Gordon, Charles Robert Koch, Jakob Andert
8citations -
MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers2024 IEEE Microwave and Wireless Technology Letters article Engineering Advanced Power Amplifier Design Open access
Yizhuo Wu, Ang Li, Mohammadreza Beikmirza, Gagan Deep Singh, Qinyu Chen, Leo C. N. de Vreede, +2 more
38citations -
Introducing a Deep Neural Network-Based Model Predictive Control Framework for Rapid Controller Implementation2024 Proceedings of the ... American Control Conference/Proceedings of the American Control Conference conference-paper Engineering Advanced Control Systems Optimization Open access
Alexander Winkler, Julian Bedei, Patrick Schaber, Stefan Pischinger, Jakob Andert, Charles Robert Koch
14citations -
DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion2025 IEEE Microwave and Wireless Technology Letters article Engineering Advanced Power Amplifier Design Open access
Yizhuo Wu, Yi Zhu, Qinyu Chen, Anding Zhu, John Gajadharsing, Leo C. N. de Vreede, +1 more
8citations