Jonathan Ho
Cloud Computing Center(CN)
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Reinforcement Learning in Robotics, Model Reduction and Neural Networks, Computational Fluid Dynamics and Aerodynamics, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Image Super-Resolution Via Iterative Refinement(2022)1,582 cited
- → Palette: Image-to-Image Diffusion Models(2022)1,429 cited
- → Evolution Strategies as a Scalable Alternative to Reinforcement Learning(2017)1,015 cited
- → Motion planning with sequential convex optimization and convex collision checking(2014)821 cited
- → Cascaded Diffusion Models for High Fidelity Image Generation(2021)453 cited
- → Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization(2013)427 cited
- → Generative Adversarial Imitation Learning(2016)369 cited
- → Axial Attention in Multidimensional Transformers(2019)363 cited
- → Variational Diffusion Models(2021)282 cited
- → On Distillation of Guided Diffusion Models(2023)236 cited