Jesse M. Zhang

According to our database, Jesse M. Zhang authored at least 6 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

A Fourier-Based Approach to Generalization and Optimization in Deep Learning.

Farzan Farnia, Jesse M. Zhang, David N. C. Tse

IEEE J. Sel. Areas Inf. Theory, 2020

2019

Towards a Post-clustering Test for Differential Expression.

Jesse M. Zhang, Govinda M. Kamath, David N. C. Tse

Proceedings of the Research in Computational Molecular Biology, 2019

Generalizable Adversarial Training via Spectral Normalization.

Farzan Farnia, Jesse M. Zhang, David Tse

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

An interpretable framework for clustering single-cell RNA-Seq datasets.

Jesse M. Zhang, Jue Fan, H. Christina Fan, David Rosenfeld, David N. C. Tse

BMC Bioinform., 2018

Porcupine Neural Networks: Approximating Neural Network Landscapes.

Soheil Feizi, Hamid Javadi, Jesse M. Zhang, David Tse

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Porcupine Neural Networks: (Almost) All Local Optima are Global.

Soheil Feizi, Hamid Javadi, Jesse M. Zhang, David Tse

CoRR, 2017