Smita Krishnaswamy
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Applied Mathematics — 7 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Smita Krishnaswamy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Smita Krishnaswamy's perspective
Ordered by how strongly the researchers Smita Krishnaswamy trusts endorse each paper. Same corpus, a different order for every researcher.
- Variational Inference with Normalizing Flows
- Improved Variational Inference with Inverse Autoregressive Flow
- Attention is All you Need (Neural Information Processing Systems)
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Masked Autoregressive Flow for Density Estimation
- Gradient-based learning applied to document recognition
- Sinkhorn Distances: Lightspeed Computation of Optimal Transport
- ImageNet classification with deep convolutional neural networks
- FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
Their papers
- Recovering gene interactions from single-cell data using data diffusion (2018) — 1,612 citations
- TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics (2020) — 287 citations
- Guided Generative Protein Design using Regularized Transformers (2022) — 4 citations