Irina Kataeva
Nature Communications · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Irina Kataeva trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Urgen Schmidhuber (in Artificial Intelligence)
Papers from Irina Kataeva's perspective
Ordered by how strongly the researchers Irina Kataeva trusts endorse each paper. Same corpus, a different order for every researcher.
- In-datacenter performance analysis of a tensor processing unit
- Deep learning in neural networks: An overview
- Neuromorphic Silicon Neuron Circuits
- Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
- A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications. (Nano letters (Print))
- Training and operation of an integrated neuromorphic network based on metal-oxide memristors (Nature)
- Learning through ferroelectric domain dynamics in solid-state synapses (Nature Communications)
- High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm (Nanotechnology)
- Finding a roadmap to achieve large neuromorphic hardware systems (Frontiers in Neuroscience)
- Gradient-based learning applied to document recognition