Kunin, Daniel, Marchetti, Giovanni Luca, Chen, Feng, Karkada, Dhruva, Simon, James, Deweese, Michael, Ganguli, Surya, and Miolane, Nina. Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks. Retrieved from https://par.nsf.gov/biblio/10708455. Web. doi:10.52202/085713-0156.

Kunin, Daniel, Marchetti, Giovanni Luca, Chen, Feng, Karkada, Dhruva, Simon, James, Deweese, Michael, Ganguli, Surya, & Miolane, Nina. Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks. Retrieved from https://par.nsf.gov/biblio/10708455. https://doi.org/10.52202/085713-0156

Kunin, Daniel, Marchetti, Giovanni Luca, Chen, Feng, Karkada, Dhruva, Simon, James, Deweese, Michael, Ganguli, Surya, and Miolane, Nina. "Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks". Country unknown/Code not available: Neural Information Processing Systems Foundation, Inc. (NeurIPS). https://doi.org/10.52202/085713-0156. https://par.nsf.gov/biblio/10708455.

@article{osti_10708455,
place = {Country unknown/Code not available}, title = {Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks}, url = {https://par.nsf.gov/biblio/10708455}, DOI = {10.52202/085713-0156}, abstractNote = {Not Available}, journal = {}, publisher = {Neural Information Processing Systems Foundation, Inc. (NeurIPS)}, author = {Kunin, Daniel and Marchetti, Giovanni Luca and Chen, Feng and Karkada, Dhruva and Simon, James and Deweese, Michael and Ganguli, Surya and Miolane, Nina}, }