Priyank Jaini
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 3 papers; trusts 59 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it
- Computer Vision and Pattern Recognition — 43 citations into it
- Generative Models — 38 citations into it; #1,841 of 1,956 by trust here, #1,460 by citations
- Probabilistic & Bayesian Methods — 23 citations into it
- Signal Processing — 16 citations into it
- Statistical and Nonlinear Physics — 16 citations into it
- Model Architectures — 9 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Priyank Jaini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Radford M. Neal
- Diederik P. Kingma
- Yoshua Bengio
- Adnan Darwiche
- Alex Krizhevsky
- Ruslan Salakhutdinov
- Lucas Theis
- Danilo Jimenez Rezende
- Tom Minka
Who trusts Priyank Jaini overall
Papers from Priyank Jaini's perspective
Ordered by how strongly the researchers Priyank Jaini 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions (2021) — 710 citations
- Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models (2021) — 79 citations
- Online Algorithms for Sum-Product Networks with Continuous Variables (2016) — 24 citations