Tianqi Cui

According to our database, Tianqi Cui authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information.

Saurabh Malani, Tom S. Bertalan, Tianqi Cui, Jose L. Avalos, Michael Betenbaugh, Ioannis G. Kevrekidis

Comput. Chem. Eng., October, 2023

Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling.

Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Alexei Makeev, Ioannis G. Kevrekidis

CoRR, 2023

Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points.

Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Cristina P. Martin-Linares, Constantinos I. Siettos, Ioannis G. Kevrekidis

CoRR, 2023

Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell Bioreactors.

Tianqi Cui, Tom S. Bertalan, Nelson Ndahiro, Pratik Khare, Michael Betenbaugh, Costas Maranas, Ioannis G. Kevrekidis

CoRR, 2023

Certified Invertibility in Neural Networks via Mixed-Integer Programming.

Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Yannis G. Kevrekidis, Mahyar Fazlyab

Proceedings of the Learning for Dynamics and Control Conference, 2023

2021

Initializing LSTM internal states via manifold learning.

Felix P. Kemeth, Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, Ioannis G. Kevrekidis

CoRR, 2021