Helmut Bölcskei
Electrical and Electronic Engineering · 2000–2015
A researcher in the Science corpus: 16 papers; trusts 99 researchers and is trusted by 57 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 69 citations into it; #482 of 16,539 by trust here, #2,650 by citations
- Computer Networks and Communications — 65 citations into it; #744 of 9,886 by trust here, #549 by citations
- Computer Vision and Pattern Recognition — 35 citations into it; #8,706 of 21,575 by trust here, #11,950 by citations
- Artificial Intelligence — 25 citations into it
- Computational Mechanics — 24 citations into it; #2,799 of 10,001 by trust here, #4,450 by citations
- Signal Processing — 22 citations into it; #1,215 of 7,572 by trust here, #2,816 by citations
- Applied Mathematics — 11 citations into it; #2,676 of 7,620 by trust here, #2,030 by citations
- Statistics and Probability — 9 citations into it
Whom Helmut Bölcskei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Arogyaswami Paulraj
- Stéphane Mallat
- Yann LeCun
- Lizhong Zheng
- David Gesbert
- David Tse
- Ingrid Daubechies
- Yoshua Bengio
- Emre Telatar
- Geoffrey E. Hinton
Who trusts Helmut Bölcskei overall
- Andreas Willig
- Arogyaswami Paulraj
- Yingwei Yao
- David Gesbert
- Yindi Jing
- Paul D. Sutton
- Rohit U. Nabar
- Syed Ali Jafar
- Thomas Strohmer
- Christoph Studer
Papers from Helmut Bölcskei's perspective
Ordered by how strongly the researchers Helmut Bölcskei trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction (2015) — 400 citations
- On the capacity of OFDM-based spatial multiplexing systems (2002) — 1,012 citations
- An overview of MIMO communications - a key to gigabit wireless (2004) — 2,316 citations
- Capacity scaling laws in MIMO relay networks (2006) — 666 citations
- Fading relay channels: performance limits and space-time signal design (2004) — 2,011 citations
- Outdoor MIMO wireless channels: models and performance prediction (2002) — 959 citations
- MIMO wireless channels: capacity and performance prediction (2000) — 320 citations
- Block-Sparse Signals: Uncertainty Relations and Efficient Recovery (2009) — 1,381 citations
- Space-frequency coded broadband OFDM systems (2000) — 511 citations
- Performance of multiantenna signaling techniques in the presence of polarization diversity (2002) — 324 citations
- Impact of the propagation environment on the performance of space-frequency coded MIMO-OFDM (2003) — 309 citations
- VLSI implementation of MIMO detection using the sphere decoding algorithm (2005) — 645 citations
- Blind estimation of symbol timing and carrier frequency offset in wireless OFDM systems (2001) — 391 citations
- Soft-output sphere decoding: algorithms and VLSI implementation (2008) — 397 citations
- MIMO-OFDM wireless systems: basics, perspectives, and challenges (2006) — 510 citations
- Gabor frames, unimodularity, and window decay (2000) — 51 citations