Gao, Tianxiang

8 publications

ICLR 2025 Global Convergence in Neural ODEs: Impact of Activation Functions Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao

NeurIPS 2023 Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao

ICLR 2022 A Global Convergence Theory for Deep ReLU Implicit Networks via Over-Parameterization Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao

AAAI 2020 A Forest from the Trees: Generation Through Neighborhoods Yang Li, Tianxiang Gao, Junier Oliva

AAAI 2018 DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization Tianxiang Gao, Chris Chu

UAI 2016 Degrees of Freedom in Deep Neural Networks Tianxiang Gao, Vladimir Jojic

MLJ 2014 Modelling Relational Statistics with Bayes Nets Oliver Schulte, Hassan Khosravi, Arthur E. Kirkpatrick, Tianxiang Gao, Yuke Zhu

MLJ 2012 Learning Compact Markov Logic Networks with Decision Trees Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao