From post

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices., , , , , , , , , и 1 other автор(ы). Frontiers Comput. Neurosci., (2021)Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited)., , , , , , , , , и 15 other автор(ы). VLSI Technology and Circuits, стр. 1-2. IEEE, (2023)4-Bit Quantization of LSTM-Based Speech Recognition Models., , , , , , , , , и 2 other автор(ы). Interspeech, стр. 2586-2590. ISCA, (2021)An analog-AI chip for energy-efficient speech recognition and transcription., , , , , , , , , и 14 other автор(ы). Nat., 620 (7975): 768-775 (2023)Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges., , , , , , , , , и . IRPS, стр. 1-10. IEEE, (2020)Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators., , , , , , , , , и 3 other автор(ы). CoRR, (2023)Sputtering of Metal Oxide Semiconductor n-p Stacks., , , , и . ISOEN, стр. 1-3. IEEE, (2019)Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization., , , , , , , и . INTERSPEECH, стр. 2038-2042. ISCA, (2022)Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)., , , , , , , , , и 13 other автор(ы). ISCAS, стр. 1-5. IEEE, (2023)Optimization of Analog Accelerators for Deep Neural Networks Inference., , , , , , , , и . ISCAS, стр. 1-5. IEEE, (2020)