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Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer2025 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access
Rebecca Pelke, José Cubero-Cascante, Nils Bosbach, Niklas Degener, Florian Idrizi, Lennart M. Reimann, +2 more
0citations -
Fully Convolutional Neural Network-Based CSI Limited Feedback for FDD Massive MIMO Systems2021 IEEE Transactions on Cognitive Communications and Networking article Engineering Advanced MIMO Systems Optimization
Guanghui Fan, Jinlong Sun, Guan Gui, Haris Gacanin, Bamidele Adebisi, Tomoaki Otsuki Ohtsuki
28citations -
A Voltage-Controlled, Oscillation-Based ADC Design for Computation-in-Memory Architectures Using Emerging ReRAMs2022 ACM Journal on Emerging Technologies in Computing Systems article Engineering Advanced Memory and Neural Computing cited by 10 patents
Mahta Mayahinia, Abhairaj Singh, Christopher Bengel, Stefan Wiefels, Muath Abu Lebdeh, Stephan Menzel, +5 more
21citations -
NeuroVP: A System-Level Virtual Platform for Integration of Neuromorphic Accelerators2021 IEEE International System-on-Chip Conference (SOCC) conference-paper Engineering Advanced Memory and Neural Computing
Melvin Galicia, Ali BanaGozar, Karl J. X. Sturm, Felix Staudigl, Sander Stuijk, Henk Corporaal, +1 more
8citations -
Algorithm-Hardware Implications of Softmax Approximations for In-Memory Computing-Based LLM Accelerators2026 IEEE Journal on Emerging and Selected Topics in Circuits and Systems article Engineering Advanced Memory and Neural Computing Open access
Jan Finkbeiner, Sebastian Siegel, Chirag Sudarshan, Yuankang Zhao, John Paul Strachan, Emre Neftci
0citations -
Algorithm-Hardware Implications of Softmax Approximations for In-Memory Computing-Based LLM Accelerators2026 IEEE Journal on Emerging and Selected Topics in Circuits and Systems article Engineering Advanced Memory and Neural Computing Open access
Jan Finkbeiner, Sebastian Siegel, Chirag Sudarshan, Yuankang Zhao, John Paul Strachan, Emre Neftci
0citations -
A Hardware-Aware Performance Analysis of Machine Learning Models for Sensor-Aided Millimeter-Wave Beam Prediction2026 International Conference on Communications conference-paper Engineering Millimeter-Wave Propagation and Modeling Open access
Barış Sayitoğlu, Arish Sateesan, Marina Petrova, Ljiljana Simić
0citations