Chen, Ricky T. Q.

Neural ordinary differential equations

Chen, R. T. Q., Rubanova, Y., Bettencourt, J., & Duvenaud, D. (2018) · arXiv

Model Reduction and Neural NetworksNeural Networks and Applications

Cited by 2,097

FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Grathwohl, W., Chen, R. T. Q., Bettencourt, J., Sutskever, I., & Duvenaud, D. (2018) · arXiv

Generative Adversarial Networks and Image SynthesisMarkov Chains and Monte Carlo Methods

Cited by 796

Flow Matching for Generative Modeling

Lipman, Y., Chen, R. T. Q., Ben-Hamu, H., Nickel, M., & Le, M. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisModel Reduction and Neural Networks

Cited by 192

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models

Shaul, N., Singer, U., Chen, R. T. Q., Le, M., Thabet, A., Pumarola, A., & Lipman, Y. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisModel Reduction and Neural Networks

Cited by 1

Training-free Linear Image Inverses via Flows

Pokle, A., Muckley, M. J., Chen, R. T. Q., & Karrer, B. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisImage and Signal Denoising Methods

Cited by 0