Bonnie Berger
Molecular Biology · 2000–2022
A researcher in the Science corpus: 31 papers; trusts 268 researchers and is trusted by 55 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 450 citations into it; #656 of 17,773 by trust here, #1,205 by citations
- Computational Biology & Bioinformatics — 172 citations into it; #169 of 660 by trust here, #376 by citations
- Genetics — 127 citations into it; #5,951 of 6,854 by trust here, #1,362 by citations
- Artificial Intelligence — 125 citations into it; #30,208 of 35,345 by trust here, #25,040 by citations
- Materials Chemistry — 87 citations into it; #2,925 of 11,513 by trust here, #8,635 by citations
- Computer Vision and Pattern Recognition — 55 citations into it; #21,141 of 21,575 by trust here, #20,271 by citations
- Representation & Self-Supervised Learning — 53 citations into it; #1,065 of 3,145 by trust here, #1,943 by citations
- Structural Biology — 50 citations into it
Whom Bonnie Berger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- L. V. D. van der Maaten
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Sean R. Eddy
- Yang Zhang
- Tomas Mikolov
Who trusts Bonnie Berger overall
- Kevin Kaichuang Yang
- Jian Peng
- Zhuoran Qiao
- Brian L. Hie
- Lenore J. Cowen
- Rohit Singh
- Jianzhu Ma
- Dan Ofer
- Konstantin Weissenow
- Jinbo Xu
Papers from Bonnie Berger's perspective
Ordered by how strongly the researchers Bonnie Berger trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks (2017) — 113 citations
- ARACHNE: a whole-genome shotgun assembler. (2002) — 690 citations
- Structured states of disordered proteins from genomic sequences (2016) — 132 citations
- Matt: Local Flexibility Aids Protein Multiple Structure Alignment (2008) — 235 citations
- Paircoil2: improved prediction of coiled coils from sequence (2006) — 454 citations
- Human and mouse gene structure: comparative analysis and application to exon prediction (2000) — 427 citations
- SMURFLite: combining simplified Markov random fields with simulated evolution improves remote homology detection for beta-structural proteins into the twilight zone (2012) — 25 citations
- Learning protein sequence embeddings using information from structure (2019) — 354 citations
- IsoRankN: spectral methods for global alignment of multiple protein networks (2009) — 433 citations
- Efficient integration of heterogeneous single-cell transcriptomes using Scanorama (2019) — 798 citations
- Learning the Protein Language: Evolution, Structure and Function (2021) — 467 citations
- Realizing privacy preserving genome-wide association studies (2016) — 64 citations
- Topsy-Turvy: integrating a global view into sequence-based PPI prediction (2022) — 48 citations
- Global alignment of multiple protein interaction networks with application to functional orthology detection (2008) — 733 citations
- Emerging technologies towards enhancing privacy in genomic data sharing (2019) — 62 citations
- Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE (2010) — 820 citations
- An integrative approach to ortholog prediction for disease-focused and other functional studies (2011) — 748 citations
- Learning the language of viral evolution and escape (2020) — 317 citations
- Topaz-Denoise: general deep denoising models for cryoEM and cryoET (2019) — 523 citations
- Pairwise Global Alignment of Protein Interaction Networks by Matching Neighborhood Topology (2007) — 337 citations