Deep learning as optimal control problems: models and numerical methods

Deep learning as optimal control problems: models and numerical methods

11 April 2019

Matthias Joachim Ehrhardt

Carola-Bibiane Schönlieb

Papers citing "Deep learning as optimal control problems: models and numerical methods"

12 / 12 papers shown

Title
Data Selection via Optimal Control for Language Models Yuxian Gu Li Dong Hongning Wang Y. Hao Qingxiu Dong Furu Wei Minlie Huang AI4CE 55 5 0 09 Oct 2024
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 33 1 0 04 Oct 2024
Double-well Net for Image Segmentation Haotian Liu Jun Liu Raymond H. F. Chan Xue-Cheng Tai 47 7 0 31 Dec 2023
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks X. Tai Hao Liu Raymond H. F. Chan 38 10 0 18 Jul 2023
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 32 7 0 19 Mar 2022
Deep Learning Approximation of Diffeomorphisms via Linear-Control Systems A. Scagliotti 13 13 0 24 Oct 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 41 18 0 21 Jul 2021
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows Derek Onken Lars Ruthotto BDL 29 51 0 27 May 2020
Fractional Deep Neural Network via Constrained Optimization Harbir Antil R. Khatri R. Löhner Deepanshu Verma 30 29 0 01 Apr 2020
Towards Robust and Stable Deep Learning Algorithms for Forward Backward Stochastic Differential Equations Batuhan Güler Alexis Laignelet P. Parpas OOD 21 16 0 25 Oct 2019
Neural Dynamics on Complex Networks Chengxi Zang Fei-Yue Wang AI4CE 32 68 0 18 Aug 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016