Liu, Frank

10 publications

TMLR 2024 Extreme Risk Mitigation in Reinforcement Learning Using Extreme Value Theory Karthik Somayaji Ns, Yu Wang, Malachi Schram, Jan Drgona, Mahantesh M Halappanavar, Frank Liu, Peng Li

AAAI 2024 Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li

AAAI 2023 AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution Yu Wang, Ján Drgona, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram, Frank Liu, Peng Li

NeurIPSW 2023 Deep Learning with Physics Priors as Generalized Regularizers Frank Liu, Agniva Chowdhury

AAAI 2022 Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao

ECCV 2022 NashAE: Disentangling Representations Through Adversarial Covariance Minimization Eric Yeats, Frank Liu, David Womble, Hai Li

NeurIPS 2021 On the Stochastic Stability of Deep Markov Models Jan Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar

CVPRW 2020 Noise-Based Selection of Robust Inherited Model for Accurate Continual Learning Xiaocong Du, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao

ICCVW 2019 Video-Text Compliance: Activity Verification Based on Natural Language Instructions Mayoore Jaiswal, H. Peter Hofstee, Valerie Chen, Suvadip Paul, Rogério Feris, Frank Liu, Anupama Jagannathan, Anne Gattiker, Inseok Hwang, Jinho Lee, Matthew Tong, Sahil Dureja, Soham Shah

WACV 2015 Efficiently Constructing Mosaics from Video Collections Frank Liu, Robin Hess, Alan Fern