Dhruva Karkada

According to our database, Dhruva Karkada authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks.

Daniel Kunin, Giovanni Luca Marchetti, Feng Chen, Dhruva Karkada, James B. Simon, Michael Robert DeWeese, Surya Ganguli, Nina Miolane

CoRR, June, 2025

On the Emergence of Linear Analogies in Word Embeddings.

Daniel J. Korchinski, Dhruva Karkada, Yasaman Bahri, Matthieu Wyart

CoRR, May, 2025

Solvable Dynamics of Self-Supervised Word Embeddings and the Emergence of Analogical Reasoning.

Dhruva Karkada, James B. Simon, Yasaman Bahri, Michael Robert DeWeese

CoRR, February, 2025

2024

The lazy (NTK) and rich (μP) regimes: a gentle tutorial.

Dhruva Karkada

CoRR, 2024

More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory.

James B. Simon, Dhruva Karkada, Nikhil Ghosh, Mikhail Belkin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide Neural Networks.

James B. Simon, Madeline Dickens, Dhruva Karkada, Michael Robert DeWeese

Trans. Mach. Learn. Res., 2023

More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory.

James B. Simon, Dhruva Karkada, Nikhil Ghosh, Mikhail Belkin

CoRR, 2023