Hikmet Sari
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
- Signal Processing — 6 citations into it
- Aerospace Engineering — 5 citations into it
Whom Hikmet Sari trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton (in Probabilistic & Bayesian Methods)
- Tim O'Shea (in Artificial Intelligence)
- Jakob Hoydis (in Artificial Intelligence)
Papers from Hikmet Sari's perspective
Ordered by how strongly the researchers Hikmet Sari trusts endorse each paper. Same corpus, a different order for every researcher.
- A Fast Learning Algorithm for Deep Belief Nets
- Restricted Boltzmann machines for collaborative filtering
- Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems (IEEE Wireless Communications Letters)
- On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users (IEEE Signal Processing Letters)
- An Introduction to Deep Learning for the Physical Layer
- Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends (IEEE Communications Magazine)
- Spatially Sparse Precoding in Millimeter Wave MIMO Systems (IEEE Transactions on Wireless Communications)
- Deep Learning for Massive MIMO CSI Feedback (IEEE Wireless Communications Letters)
- Deep Learning for an Effective Nonorthogonal Multiple Access Scheme (IEEE Transactions on Vehicular Technology)
- LSTM recurrent networks learn simple context-free and context-sensitive languages
Their papers
- Deep Learning for an Effective Nonorthogonal Multiple Access Scheme (2018) — 453 citations
- Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions (2019) — 386 citations