FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods. - Nur Sila Gulgec; Zheng Shi 008; Neil Deshmukh; Shamim N. Pakzad; Martin Takác 001 (CoRR, 2019)

Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations. - Zheng Shi 008; Nur Sila Gulgec; Albert S. Berahas; Shamim N. Pakzad; Martin Takác 001 (ICMLA, 2020)

AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods. - Zheng Shi 008; Nicolas Loizou; Peter Richtárik; Martin Takác 001 (CoRR, 2021)

Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information. - Majid Jahani; Sergey Rusakov 001; Zheng Shi 008; Peter Richtárik; Michael W. Mahoney; Martin Takác 001 (ICLR, 2022)

AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods. - Zheng Shi 008; Abdurakhmon Sadiev; Nicolas Loizou; Peter Richtárik; Martin Takác 001 (Trans. Mach. Learn. Res., 2023)