Dhruva Karkada

According to our database1, Dhruva Karkada authored at least 10 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
There Will Be a Scientific Theory of Deep Learning.
CoRR, April, 2026

Symmetry in language statistics shapes the geometry of model representations.
CoRR, February, 2026

2025
Predicting kernel regression learning curves from only raw data statistics.
CoRR, October, 2025

Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks.
CoRR, June, 2025

On the Emergence of Linear Analogies in Word Embeddings.
CoRR, May, 2025

Solvable Dynamics of Self-Supervised Word Embeddings and the Emergence of Analogical Reasoning.
CoRR, February, 2025

2024
The lazy (NTK) and rich (μP) regimes: a gentle tutorial.
CoRR, 2024

More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory.
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.
Trans. Mach. Learn. Res., 2023

More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory.
CoRR, 2023


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