Tianrong Chen

Orcid: 0000-0003-1701-2991

According to our database1, Tianrong Chen authored at least 19 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Augmented Bridge Matching.
CoRR, 2023

Generative Modeling with Phase Stochastic Bridges.
CoRR, 2023

Mirror Diffusion Models for Constrained and Watermarked Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Momentum Multi-Marginal Schrödinger Bridge.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
White-box content camouflage attacks against deep learning.
Comput. Secur., 2022

Deep Generalized Schrödinger Bridge.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Graphic FBSDEs for Opinion Dynamics Stochastic Control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Effects of technology-supported exercise programs on the knee pain, physical function, and quality of life of individuals with knee osteoarthritis and/or chronic knee pain: A systematic review and meta-analysis of randomized controlled trials.
J. Am. Medical Informatics Assoc., 2021

Second-Order Neural ODE Optimizer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Game Theoretic Neural Optimizer.
Proceedings of the 38th International Conference on Machine Learning, 2021

Large-Scale Multi-Agent Deep FBSDEs.
Proceedings of the 38th International Conference on Machine Learning, 2021

DDPNOpt: Differential Dynamic Programming Neural Optimizer.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games.
CoRR, 2020

A Differential Game Theoretic Neural Optimizer for Training Residual Networks.
CoRR, 2020

Differential Dynamic Programming Neural Optimizer.
CoRR, 2020

Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2018
Establishing the flightpath of a quadcopter drone from the relative angular velocity of the four rotors.
Proceedings of the 11th International Symposium on Communication Systems, 2018

Multi point strain and temperature sensing based on Brillouin optical time domain reflectometry.
Proceedings of the 11th International Symposium on Communication Systems, 2018


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