Vijay Ganesh
Artificial Intelligence · 2006–2020
A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 57 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #9,102 of 35,345 by trust here, #15,866 by citations
- Software — 24 citations into it; #53 of 1,227 by trust here, #105 by citations
- Computational Theory and Mathematics — 20 citations into it; #1,278 of 12,182 by trust here, #1,587 by citations
- Privacy & Security — 11 citations into it
- Signal Processing — 11 citations into it; #1,810 of 7,572 by trust here, #3,428 by citations
- Computer Networks and Communications — 9 citations into it
- Information Systems — 9 citations into it
- Safety, Robustness & Interpretability — 9 citations into it
Whom Vijay Ganesh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Niklas Eén
- Patrice Godefroid
- Cristian Cadar
- Clark W. Barrett
- Bruno Dutertre
- Armin Biere
- Koushik Sen
- James Newsome
- Leonardo de Moura
- Niklas Sörensson
Who trusts Vijay Ganesh overall
- Tielei Wang
- Junjie Wang
- Adam Kiezun
- Andrea Arcuri
- Cornelius Aschermann
- Edward J. Schwartz
- Dawn Song
- Cristian Cadar
- Prateek Saxena
- Patrice Godefroid
Papers from Vijay Ganesh's perspective
Ordered by how strongly the researchers Vijay Ganesh 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
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Amnesiac Machine Learning (2020) — 458 citations
- EXE: automatically generating inputs of death (2006) — 1,258 citations
- A Decision Procedure for Bit-Vectors and Arrays (2007) — 702 citations
- HAMPI: a solver for string constraints (2009) — 335 citations
- Taint-based directed whitebox fuzzing (2009) — 381 citations