Wolfram H. P. Pernice
Electrical and Electronic Engineering · 2012–2021
A researcher in the Science corpus: 8 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 128 citations into it; #12,517 of 16,539 by trust here, #3,530 by citations
- Materials Chemistry — 40 citations into it
- Cellular and Molecular Neuroscience — 17 citations into it
- Polymers and Plastics — 14 citations into it
- Cognitive Neuroscience — 11 citations into it
Whom Wolfram H. P. Pernice trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Wolfram H. P. Pernice overall
Papers from Wolfram H. P. Pernice's perspective
Ordered by how strongly the researchers Wolfram H. P. Pernice trusts endorse each paper. Same corpus, a different order for every researcher.
- Going deeper with convolutions
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Phase-change materials for rewriteable data storage. (Nature Materials)
- Deep Learning
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
- Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
- In-datacenter performance analysis of a tensor processing unit
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
- Integration of nanoscale memristor synapses in neuromorphic computing architectures (Nanotechnology)
Their papers
- Photonics for artificial intelligence and neuromorphic computing (2020) — 1,655 citations
- On-chip photonic synapse (2017) — 494 citations
- Parallel convolutional processing using an integrated photonic tensor core (2021) — 1,576 citations
- In-memory computing on a photonic platform (2018) — 339 citations
- Integrated all-photonic non-volatile multi-level memory (2015) — 1,021 citations
- 2022 roadmap on neuromorphic computing and engineering (2021) — 589 citations
- All-optical spiking neurosynaptic networks with self-learning capabilities (2019) — 1,287 citations
- Photonic non-volatile memories using phase change materials (2012) — 166 citations