Niloy Ganguly
Artificial Intelligence · 2006–2018
A researcher in the Science corpus: 11 papers; trusts 75 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 104 citations into it
- Statistical and Nonlinear Physics — 68 citations into it; #8,646 of 10,127 by trust here, #3,100 by citations
- Information Systems — 42 citations into it
- Graph Learning — 40 citations into it
- Generative Models — 33 citations into it
- Computer Networks and Communications — 32 citations into it
- Computer Vision and Pattern Recognition — 32 citations into it
- Molecular Biology — 28 citations into it
Whom Niloy Ganguly trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Jure Leskovec
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Max Welling
- Alex Krizhevsky
- Jimmy Ba
- Ronald J. Williams
Who trusts Niloy Ganguly overall
Papers from Niloy Ganguly's perspective
Ordered by how strongly the researchers Niloy Ganguly trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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)
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
Their papers
- NeVAE: A Deep Generative Model for Molecular Graphs (2018) — 241 citations
- Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations (2017) — 78 citations
- Understanding and combating link farming in the twitter social network (2012) — 409 citations
- Sampling Content from Online Social Networks (2015) — 44 citations
- Stop Clickbait: Detecting and preventing clickbaits in online news media (2016) — 398 citations
- Design patterns from biology for distributed computing (2006) — 341 citations
- Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design (2018) — 52 citations
- Discovering and understanding word level user intent in Web search queries (2015) — 27 citations
- Deep Twitter diving: exploring topical groups in microblogs at scale (2014) — 42 citations
- On the permanence of vertices in network communities (2014) — 138 citations
- STATISTICAL ANALYSIS OF THE INDIAN RAILWAY NETWORK: A COMPLEX NETWORK APPROACH (2011) — 64 citations