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Irina Kataeva
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Journal Articles
- 2010
- [j1]Yuki Yamanashi
, Toshiki Kainuma, Nobuyuki Yoshikawa
, Irina Kataeva, Hiroyuki Akaike, Akira Fujimaki, Masamitsu Tanaka
, Naofumi Takagi
, Shuichi Nagasawa
, Mutsuo Hidaka:
100 GHz Demonstrations Based on the Single-Flux-Quantum Cell Library for the 10 kA/cm2 Nb Multi-Layer Process. IEICE Trans. Electron. 93-C(4): 440-444 (2010)
Conference and Workshop Papers
- 2019
- [c6]Irina Kataeva, Shigeki Ohtsuka, Hussein Nili, Hyungjin Kim
, Yoshihiko Isobe, Koichi Yako, Dmitri B. Strukov
:
Towards the Development of Analog Neuromorphic Chip Prototype with 2.4M Integrated Memristors. ISCAS 2019: 1-5 - 2017
- [c5]Farnood Merrikh-Bayat, Mirko Prezioso, Bhaswar Chakrabarti, Irina Kataeva, Dmitri B. Strukov
:
Memristor-based perceptron classifier: Increasing complexity and coping with imperfect hardware. ICCAD 2017: 549-554 - 2016
- [c4]Teerapat Rojanaarpa, Irina Kataeva:
Density-Based Data Pruning Method for Deep Reinforcement Learning. ICMLA 2016: 266-271 - 2015
- [c3]Irina Kataeva, Farnood Merrikh-Bayat, Elham Zamanidoost, Dmitri B. Strukov
:
Efficient training algorithms for neural networks based on memristive crossbar circuits. IJCNN 2015: 1-8 - [c2]Elham Zamanidoost, Michael Klachko, Dmitri B. Strukov
, Irina Kataeva:
Low area overhead in-situ training approach for memristor-based classifier. NANOARCH 2015: 139-142 - 2010
- [c1]Farhad Mehdipour, Hiroaki Honda, Hiroshi Kataoka, Koji Inoue, Irina Kataeva, Kazuaki J. Murakami, Hiroyuki Akaike, Akira Fujimaki:
Mapping scientific applications on a large-scale data-path accelerator implemented by single-flux quantum (SFQ) circuits. DATE 2010: 993-996
Informal and Other Publications
- 2017
- [i2]F. Merrikh Bayat, Mirko Prezioso, Bhaswar Chakrabarti, Irina Kataeva, Dmitri B. Strukov:
Implementation of Multilayer Perceptron Network with Highly Uniform Passive Memristive Crossbar Circuits. CoRR abs/1712.01253 (2017) - 2016
- [i1]Farnood Merrikh-Bayat, Mirko Prezioso, Bhaswar Chakrabarti, Irina Kataeva, Dmitri B. Strukov:
Advancing Memristive Analog Neuromorphic Networks: Increasing Complexity, and Coping with Imperfect Hardware Components. CoRR abs/1611.04465 (2016)
Coauthor Index
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