Long, Ziang, Yin, Penghang, and Xin, Jack. Global convergence and geometric characterization of slow to fast weight evolution in neural network training for classifying linearly non-separable data. Retrieved from https://par.nsf.gov/biblio/10211385. Inverse Problems & Imaging 15.1 Web. doi:10.3934/ipi.2020077.

Long, Ziang, Yin, Penghang, & Xin, Jack. Global convergence and geometric characterization of slow to fast weight evolution in neural network training for classifying linearly non-separable data. Inverse Problems & Imaging, 15 (1). Retrieved from https://par.nsf.gov/biblio/10211385. https://doi.org/10.3934/ipi.2020077

Long, Ziang, Yin, Penghang, and Xin, Jack. "Global convergence and geometric characterization of slow to fast weight evolution in neural network training for classifying linearly non-separable data". Inverse Problems & Imaging 15 (1). Country unknown/Code not available. https://doi.org/10.3934/ipi.2020077. https://par.nsf.gov/biblio/10211385.

@article{osti_10211385,
place = {Country unknown/Code not available}, title = {Global convergence and geometric characterization of slow to fast weight evolution in neural network training for classifying linearly non-separable data}, url = {https://par.nsf.gov/biblio/10211385}, DOI = {10.3934/ipi.2020077}, abstractNote = {}, journal = {Inverse Problems & Imaging}, volume = {15}, number = {1}, author = {Long, Ziang and Yin, Penghang and Xin, Jack}, editor = {null} }