Depen Morwani

According to our database, Depen Morwani authored at least 7 papers between 2020 and 2023.

Collaborative distances:

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

2023

Feature emergence via margin maximization: case studies in algebraic tasks.

Depen Morwani, Benjamin L. Edelman, Costin-Andrei Oncescu, Rosie Zhao, Sham M. Kakade

CoRR, 2023

Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning.

Nikhil Vyas, Depen Morwani, Rosie Zhao, Gal Kaplun, Sham M. Kakade, Boaz Barak

CoRR, 2023

Simplicity Bias in 1-Hidden Layer Neural Networks.

Depen Morwani, Jatin Batra, Prateek Jain, Praneeth Netrapalli

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Feature-Learning Networks Are Consistent Across Widths At Realistic Scales.

Nikhil Vyas, Alexander Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets.

Depen Morwani, Harish G. Ramaswamy

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2020

Using noise resilience for ranking generalization of deep neural networks.

Depen Morwani, Rahul Vashisht, Harish G. Ramaswamy

CoRR, 2020

Inductive Bias of Gradient Descent for Exponentially Weight Normalized Smooth Homogeneous Neural Nets.

Depen Morwani, Harish G. Ramaswamy

CoRR, 2020